Publications

Theses

1. K. R. Swanson. Mathematical Modeling of the Growth and Control of Tumors, PhD Dissertation, University of Washington, 1999
2. K. R. Swanson. Turing Model of Pattern Formation with Periodic Conditions, Undergraduate Honors Thesis, Tulane University, 1996
3. Russell C. Rockne. A Mathematical Model for Brain Tumor Response to Radiation Therapy, Master’s Thesis, University of Washington, Seattle, WA, 2006.
4. Russell C. Rockne. Towards Patient-Specific Mathematical Radiation Oncology. Doctoral Dissertation, University of Washington. 2013.
5. Susan Christine Massey. Multi-scale modeling of paracrine PDGF-driven glioma growth and invasion. Doctoral Dissertation, University of Washington, 2017.

Books and Book Chapters

1. J. M. Gottman, J. D. Murray, C. C. Swanson, R. Tyson, K. R. Swanson. The Mathematics of Marriage: Dynamic Nonlinear Models, MIT Press (Bradford Books): Cambridge, 2003J.
2. J. D. Murray, K. R. Swanson: “On the Mechanochemical Theory of Biological Pattern Formation with Applications to Wound Healing and Angiogenesis”. In: On Growth and Form: Spatio-temporal Patterning in Biology, edited by Drs. M. A. J. Chaplain, J. McLauchlan, G. D. Singh, Wiley (London), 1999, pp.251-285. DOI: 10.1016/S1631-0691(03)00065-9
3. K. R. Swanson: “Clinical Application of a Mathematical Model for Glioma Growth and Invasion”. In: Mathematical Modelling and Computing in Biology and Medicine, V. Capasso (ed.), Milan Research Center for Industrial and Applied Mathematics, Progetto Leonardo, pp. 629-636, 2003
4. A.M. Spence, D. A. Mankoff, M. Muzi, K. R. Swanson: “Nuclear Imaging of Gliomas”. In: Barnett GH, ed. High-Grade Gliomas: Diagnosis and Treatment, Humana Press Inc, Totowa, NJ, 2005
5. R.Rockne, E. C. Alvord Jr., M. Szeto, S. Gu, G. Chakraborty, K. R. Swanson KR: “Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy. In: Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy. Ed. Bellomo N, Chaplain M, de Angelis E. Birkhauser, Boston MA. 2008 ISBN 978-0817647124
6. G.Chakraborty, R. Sodt, S. Massey, S. Gu, R. Rockne, E.C. Alvord, Jr., and K.R. Swanson: Bridging from Multiscale Modeling to Practical Clinical Applications in the Study of Human Gliomas”. In: Multiscale Cancer Modeling. Editors: T.S.Deisboeck, Massachusetts General Hospital and Harvard Medical School, Boston, USA, G. Stamatakos, Institute of Communication and Computer Systems, National Technical University of Athens, Greece. 2010 ISBN 9781439814406

Articles–Peer Reviewed

2021

1. K Bond, M McCarthy, JB Rubin, KR Swanson. Molecular Omics Analyses Should Require Sex-Specific Annotation: A Call for Action. Nature Methods, 2021, In Press
2. L Wang, A Hawkins-Daarud, KR Swanson, LS Hu, J Li., Knowledge-infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine, IEEE Transactions on Automation Science and Engineering, In Press
3. L Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, PR Jackson, K Clark-Swanson, CP Sereduk, S Peng, P Wang, J Wang, LC Baxter, KA Smith, GL Mazza, AM Stokes, BR Bendok, RS Zimmerman, C Krishna, AB Porter, MM Mrugala, JM Hoxworth, T Wu, NL Tran, KR Swanson, J Li. Uncertainty Quantification in Radiogenomics: EGFR Amplification in Glioblastoma. Scientific Reports, 11(3932), 2021 PMID: 33594116 PMCID: PMC7886858 DOI: 10.1038/s41598-021-83141-Z
4. SA Walker, A Pham, S Nizzero, M Kim, B Riter, J Bletz, S Judge, B Phillips, D Noble, D Murray, E Wetzel, S Samson, M McMahon, C Flink, J Couch, C Tomlin, KR Swanson, ARA Anderson, D Odde, H Shen, S Hughes, N Zahir, H Enderling, J Wolfram. Education and Outreach in Physical Sciences in Oncology. Trends in Cancer. 2021 Jan;7(1):3-9. doi: 10.1016/j.trecan.2020.10.007. Epub 2020 Nov 7. PMID: 33168416.

2020

1. RL Harrison, BF Elston, DW Byrd, AM Alessio, KR Swanson, PE Kinahan. A Digital Reference Object Representing Hoffman’s 3D Brain Phantom for PET Scanner Simulations. Medical Physics, 2020
2. JA Gallaher, SC Massey, A Hawkins-Daarud, S Noticewala, J Juliano, RC Rockne, G Orlando, KR Swanson++, P Canoll++, ARA Anderson++ From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment. ++co-senior authors PLOS Computational Biology, 16(2), e1007672, 2020
3. P Whitmire, CR Rickertsen, A Hawkins-Daarud, E Carrasco Jr, J Lorence, G De Leon, L Curtin, S Bayless, K Clark-Swanson, NC Peeri, C Corpuz, CP Lewis-de los Angeles, BR Bendok, L Gonzalez-Cuyar, S Vora, M Mrugala, LS Hu, L Wang, A Porter, P Kumthekar, SK Johnston, KM Egan, R Gatenby, P Canoll, JB Rubin*, KR Swanson*. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients. BMC Cancer, 20, Article number: 447 (2020)
4. JM Hoxworth, JM Eschbacher, AC Gonzales, KW Singleton, G De Leon, KA Smith, A Stokes, Y Zhou, GL Mazza, AB Porter, MM Mrugala, RS Zimmerman, BR Bendok, DP Patra, C Krishna, JL Boxerman, LC Baxter, KR Swanson, CC Quarles, KM Schmainda, LS Hu. Performance of standardized relative cerebral blood volume (rCBV) for quantifying regional histologic tumor burden in recurrent high-grade glioma: Comparison against normalized rCBV using image-localized stereotactic biopsies. American Journal of NeuroRadiology, 41(3),408-415, March 2020
   Lucien Levy Best Research Article Award Winner Paper of the Year
5. L Hu, A Hawkins-Daarud, L Wang, J Li, KR Swanson. The imaging of intratumoral heterogeneity in high-grade glioma. Cancer Letters, Online 27Feb2020
6. SC Massey*, HR White*, P Whitmire*, T Doyle, SK Johnston, K Singleton, PR Jackson, A Hawkins-Daarud, BR Bendok, A Porter, S Vora, J Sakaria, L Hu, MM Mrugala, KR Swanson. Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma. PLOS One 15(3), e0230492
7. L Curtin, A Hawkins-Daarud, KG van der Zee, KR Swanson, MR Owen. Speed Switch in Glioblastoma Growth Rate due to Enhanced Hypoxia-Induced Migration. Bulletin of Mathematical Biology, 82, 43 (2020)
8. LS Hu, KR Swanson. Roadmap for clinical integration of radiomics in neuro-oncology. Neuro-Oncology, 22(6):743-745 (2020)
9. JR Mitchell, K Kamnitsas, KW Singleton, SA Whitmire, KR Clark-Swanson, S Ranjbar, CR Rickertsen, SK Johnston, KM Egan, DE Rollison, J Arrington, KN Krecke, TJ Passe, JT Verdoorn, AA Nagelschneider, CM Carr, JD Port, A Patton, NG Campeau, GB Liebo, LJ Eckel, CP Wood, CH Hunt, P Vibhute, KD Nelson, JM Hoxworth, AC Patel, BW Chong, JS Ross, JL Boxerman, MA Vogelbaum, LS Hu, B Glocker, KR Swanson, Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data. J. Med. Imag. 7(5) 055501 (16 October 2020)
10. SC Massey, JC Urcuyo, BM Marin, JN Sarkaria, KR Swanson. Quantifying glioblastoma drug response dynamics incorporating treatment sensitivity and blood brain barrier penetrance from experimental data. Frontiers in Physiology: Section on Computational Physiology and Medicine, In Press
11. SC Massey, P Whitmire, TE Doyle, MM McCarthy, M Sayers-Wilson, MM Mrugala, L Hu, ARA Anderson, P Canoll, S Fitzpatrick, J Rubin, KR Swanson. Sex matters in health and disease: review of biological sex differences relevant to cancer with a spotlight on glioma. PeerJ May 9, 2019. Cancer Letters, In Press
12. KW Singleton, AB Porter, LS Hu, SK Johnston, KM Bond, CR Rickertsen, G De Leon, SA Whitmire, KR Clark-Swanson, MM Mrugala, KR Swanson. Days Gained Response Discriminates Treatment Response in Patients with Recurrent Glioblastoma Receiving Bevacizumab-based Therapies. Preprint: Neuro-Oncology Advances, In Press
13. B Morris, L Curtin, A Hawkins-Daarud, ME Hubbard, R Rahman, SJ Smith, D Auer, NL Tran, LS Hu, JM Eschbacher, KA Smith, A Stokes, KR Swanson, MR Owen. Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations. Preprint: Mathematical Biosciences and Engineering, In Press
14. JT Nardini, JH Lagergren, A Hawkins-Daarud, L Curtin, B Morris, EM Rutter, KR Swanson, KB Flores. Learning Equations from Biological Data with Limited Time Samples. Bulletin of Mathematical Biology
15. L Curtin, P Whitmire, CR Rickersten, P Canoll, MM Mrugala, KR Swanson, LS Hu. Cystic Glioblastoma Presentation as a Beneficial Prognostic Indicator for Overall Survival. Frontiers in Oncology, 16 November 2020
16. PR Jackson, A Hawkins-Daarud, KR Swanson. Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth. International Workshop on Simulation and Synthesis in Medical Imaging, 32-40

2019

1. JA Gallaher, SC Massey, A Hawkins-Daarud, S Noticewala, J Juliano, RC Rockne, G Orlando, KR Swanson++, P Canoll++, ARA Anderson++ From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment. Submitted
2. S Ranjbar, KW Singleton, PR Jackson, CR Rickertsen, SA Whitmire, KR Clark-Swanson, JR Mitchell, KR Swanson*, Leland S Hu*. A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type. Submitted *contributed equally
3. JR Mitchell, K Kamnitsas, K Singleton, S Whitmire, K Clark-Swanson, S Ranjbar, C Rickertsen, B Glocker, L Hu, KR Swanson. Deep Learning for Accurate, Rapid, Fully Automatic Measurement of Brain Tumor Volume. Submitted
4. S Ranjbar, KW Singleton, L Curtin, SC Massey, A Hawkins-Daarud, PR Jackson, KR Swanson. Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs. MICCAI ABCD Neurocognitive Prediction Challenge 2019.
5. A Hawins-Daarud, KR Swanson. The future of personalization in mathematical oncology: A mathematical merger of mechanistic and machine learning models. Submitted to Physical Biology
6. SC Massey*, HR White*, P Whitmire*, T Doyle, SK Johnston, K Singleton, PR Jackson, A Hawkins-Daarud, BR Bendok, A Porter, S Vora, J Sakaria, MM Mrugala, KR Swanson. Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma. Submitted Published online 2019
7. P Whitmire, CR Rickertsen, A Hawkins-Daarud, E Carrasco Jr, J. Lorence, G. De Leon, L. Curtin, S. Bayless, K. Clark-Swanson, NC Peeri, C. Corpuz, CP Lewis-de los Angeles, BR Bendok, L Gonzalez-Cuyar, S Vora, M Mrugala, LS Hu, L Wang, A Porter, P Kumthekar, SK Johnston, KM Egan, R Gatenby, P Canoll, J BRubin*, KR Swanson*. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients. Submitted Published online 2019
8. N Gaw, A Hawkins-Daarud, H Yoon, P Jackson, C Rickertson, K Clark-Swanson, K Smith, P Nakaji, LC Baxter, JM Eschbacher, T Wu, LS Hu, KR Swanson*, J Li*. Integration of Machine Learning and Mechanistic Models for Cell Density Mapping of Glioblastoma under Multiparametric MRI. Accepted June 26, 2019, Scientific Reports
9. SK Johnston, P Whitmire, SC Massey, P Kumthekar, A Porter, LF Gonzalez-Cuyar, MM Mrugala, A Hawkins-Daarud, PR Jackson, LS Hu, L Wang, R Gatenby, KM Egan, P Canoll, 96. SK Johnston, P Whitmire, SC Massey, P Kumthekar, A Porter, LF Gonzalez-Cuyar, MM Mrugala, A Hawkins-Daarud, PR Jackson, LS Hu, L Wang, R Gatenby, KM Egan, P Canoll, KR Swanson. Environmental Dynamics Underlying Responsive Extreme Survivors (ENDURES) of Glioblastoma: a Multi-disciplinary Team-based, Multifactorial Analytical Approach In Press, American Journal of Clinical Oncology, Published online 2019
10. RC Rockne, A Hawkins-Daarud, KR Swanson, JP Sluka, JA Glazier, P Macklin, DA Hormuth, AM Jarrett, EABF Lima, J Tinsley Oden, G Biros, TE Yankeelov, K Curtius, I Al Bakir, D Wodarz, N Komarova, L Aparicio, M Bordyuh, R Rabadan, SD Finley, H Enderling, J Caudell, EG Moros, ARA Anderson, RA Gatenby, A Kaznatcheev, P Jeavons, N Krishnan, J Pelesko, RR Wadhwa, N Yoon, D Nichol, A Marusyk, M Hinczewski, JG Scott. The 2019 mathematical oncology roadmap. Phys Biol, June 2019. PMID: 30991381 DOI: Published online 2019
11. J Jacobs, RC Rockne, AJ Hawkins-Daarud, PR Jackson, SK Johnston, P Kinahan, KR Swanson. Improved model prediction of glioma growth utilizing tissue-specific boundary effects. Mathematical Biosciences 2019 April PMID: 31009624 DOI: Published online 2019
12. WM Abdelmoula, MS Regan, BGC Lopez, EC Randall, S Lawler, AC Mladek, MO Nowicki, BM Marin, JN Agar, KR Swanson, T Kapur, JN Sarkaria, W Wells, NYR Agar. Automatic 3D Non-linear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data. Analytical Chemistry 2019 April PMID: 30932478 DOI: Published online 2019
13. LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, KA Smith, P Nakaji, Y Xu, L Wang, JP Karis, A Hawkins-Daarud, K Singleton, PRJackson, BJ Anderies, BR Bendok, RS Zimmerman, C Quarles, AB Porter-Umphrey, MM Mrugala, A Sharma, JM Hoxworth, MG Sattur, N Sanai, PE Kouloumberis, C Krishna, JR Mitchell, T Wu, NL Tran, KR Swanson*, J. Li*. Accurate Patient-specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning. American Journal of Neuroradiology 2019 March PMID: 30819771 DOI: Published online 2019
14. M Koohi-Moghadam, M Borad, NL Tran, KR Swanson, L Boardman, H Sun, J Wang. MetaMarker: a de novo pipeline to discover novel metagenomic biomarkers. Bioinformatics. 2019 March PMID: 30825371 DOI: Published online 2019
15. O Stringfield, JA Arrington, SK Johnston, NG Rognin, NC Peeri, Y Balagurnathan, PR Jackson, KR Clark-Swanson, KR Swanson, KM Egan, RA Gatenby, N Raghunand. Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme. Tomography. 2019 March PMID: 30854451 PMCID: PMC6403044 DOI: Published online 2019
16. W Yang, NM Warrington, SJ Taylor, P Whitmire, E Carrasco, KW Singleton, N WU, JD Lathia, ME Berens, AH Kim, JS Barnholts-Sloan, KR Swanson, J Luo, JB Rubin. Sex differences in GBM revealed by analysis of patient imaging, transcriptome, and survival data. Science Translational Medicine 2019 PMID: 30602536 DOI: Published online 2019
17. A Hawkins-Daarud, SK Johnson, KR Swanson. Quantifying Uncertainty and Robustness in a Biomathematical Model based patient-specific response metric for glioblastoma, Journal Clinical Oncology Clinical Cancer Informatics. Published Online Feb. 2019. PMID: 30758984Published online 2019
18. SC Massey, P Whitmire, TE Doyle, MM McCarthy, M Sayers-Wilson, MM Mrugala, L Hu, ARA Anderson, P Canoll, S Fitzpatrick, J Rubin, KR Swanson. Sex matters in health and disease: a review of biological sex differences with a case study in glioblastoma. PeerJ May 9, 2019Published online 2019

2018

1. J Juliano, O Gil, A Hawkins-Daarud, S Noticewala, RC Rockne, J Gallaher, SC Massey, PA Sims, ARA Anderson, K. R. Swanson, P Canoll. Comparative dynamics of microglial and glioma cell motility at the infiltration margin of brain tumours. Journal of the Royal Society Interface. 15(139), 2018 Published online 2018
2. C. A. Rayfield, F. Grady, G. De Leon, R. Rockne, E. Carrasco, P. Jackson, M. Vora, S. K. Johnston, A. Hawkins-Daarud, K. R. Clark-Swanson, S. Whitmire, M. E. Gamez, A. Porter, L. Hu, L. Gonzalez-Cuyar, B. Bendok, S. Vora, K. R. Swanson. Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict Survival. Journal of Clinical Oncology Clinical Cancer Informatics Published online 2018
3. G. De Leon, K. W. Singleton, K. R. Swanson. Days Gained: A Simulation-Based, Response Metric in the Assessment of Glioblastoma. Handbook of Mathematical Oncology – bioRxiv, 2018
4. A. Hawkins-Daarud, K. R. Swanson. Precision Medicine in the Clinic: Personalizing a Model of Glioblastoma Through Parameterization, Handbook of Mathematical Oncology – bioRxiv 2018
5. J. Gallaher, A. Hawkins-Daarud, S. C. Massey, K. R. Swanson, A. R. A. Anderson. Hybrid approach for parameter estimation in agent-based model. Handbook of Mathematical Oncology – bioRxiv 2018
6. S. H. Friedman, A. R. A. Anderson, D. M. Bortz, A. G. Fletcher, H. B. Frieboes, A. Ghaffarizadeh, D. R. Grimes, A. Hawkins-Daarud, S. Hoehme, E. F. Juarez, C. Kesselman, R. M. H. Merks, S. M. Mumenthaler, P. K. Newton, K-A. Norton, R. Rawat, R. C. Rockne, D. Ruderman, J. Scott, S. S. Sindi, J. L. Sparks, K. R. Swanson, D. B. Agus, P. Macklin. MultiCellDS: a standard and a community for sharing multicellular data Handbook of Mathematical Oncology – bioRxiv 2018
7. S. H. Friedman, A. R. A. Anderson, D. M. Bortz, A. G. Fletcher, H. B. Frieboes, A. Ghaffarizadeh, D. R. Grimes, A. Hawkins-Daarud, S. Hoehme, E. F. Juarez, C. Kesselman, R. M. H. Merks, S. M. Mumenthaler, P. K. Newton, K-A. Norton, R. Rawat, R. C. Rockne, D. Ruderman, J. Scott, S. S. Sindi, J. L. Sparks, K. R. Swanson, D. B. Agus, P. Macklin. MultiCellDS: a community-developed standard for curating microenvironment-dependent multicellular data Handbook of Mathematical Oncology – bioRxiv 2018
8. J Juliano, O Gil, A Hawkins-Daarud, S Noticewala, RC Rockne, J Gallaher, SC Massey, PA Sims, ARA Anderson, KR Swanson, P Canoll. Comparative dynamics of microglial and glioma cell motility at the infiltration margin of brain tumours. Journal of the Royal Society Interface. PMID: 29445035 PMCID: PMC5832721 DOI: 10.1098/rsif.2017.0582
9. Hawkins-Daarud, SK Johnston, KR Swanson. Quantifying uncertainty and robustness in a biomathematical model based patient-specific response metric for Glioblastoma. J. Clinical Oncology Clinical Cancer Informatics 2018. 2018
10. P. R. Jackson, A. Hawkins-Daarud, S. C. Partridge, P. E. Kinahan, K. R. Swanson. Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment. Progress in Biomedical Optics and Imaging – Proceedings in SPIE, 2018, 10577:105771D 2018
11. E. C. Randall, K. B. Emdal, J. K. Laramy, M. Kim, A. Roos, D. Calligaris, M. S. Regan, S. K. Gupta, A. C., Mladek, B. L. Carlson, A. J. Johnson, F-K Lu, X. Xie, B. A. Joughin, R. J. Reddy, S. Peng, W. M. Abdelmoula, P. R. Jackson, A. Kolluri, K. A. Kellersberger, J. N. Agar, D, A. Lauffenburger, K. R. Swanson, N. L. Tran, W. F. Elmquist, F. M. White, J. N. Sarkaria, N. Y. R. Agar. Integrated mapping of pharmacokinetics and pharmacodynamics in a patient-derived xenograft model of glioblastoma. In Press at Nature Communications
12. S. C. Massey, A. Hawkins–Daarud, J. Gallaher, A. R. A. Anderson, P.C. Canoll, K. R. Swanson. Lesion dynamics under varying paracrine PDGF signaling in brain tissue. In Press at Bulletin of Mathematical Biology.
13. A. Sharma, G. De Leon, A. Porter, M. F. Grill, A. Rosenthal, C. Brown, K. R. Swanson, M. M. Mrugala. CAR-T Cell Therapy in Neuro-Oncology: Applications and Toxicity. In Press
14. K. Storey, K. Leder, A. Hawkins-Daarud, K. R. Swanson, A. U. Ahmed, R. C. Rockne, J. Foo. Glioblastoma recurrence and the role of MGMT promoter methylation. JCO Clinical Informatics 2018
15. A Sharma, G De Leon, A Porter, MF Grill, A Rosenthal, C Brown, K Swanson, MM Mrugala. CAR-T cell therapy in neuro-oncology: applications and toxicity. Neuroimmunol Neuroinflammation Oct. 2018 dx.doi.org/10.20517/2347-8659.2018.51
16. O. Stringfield, J Arrington, S. K. Johnston, N. Rognin, N. C. Peeri, Y. Balagurunathan, P. R. Jackson, K. R. Clark-Swanson, K. R. Swanson, K. M. Egan, R. A. Gatenby, N Raghunand. Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma. In Press at Tomography
17. W. Yang, N. M. Warrington, S. J. Taylor, E. Carrasco, K. W. Singleton, N. Wu, J. D. Lathia, M. E. Berens, A. H. Kim, J. S. Barnholtz-Sloan, K. R. Swanson, J. Luo, J. B. Rubin. Sex-specific effects of gene expression on GBM outcome revealed by independent clustering of male and female transcriptomes. 2018

2017

1. J. J. Jacobs, S. Capek, R. J. Spinner, K. R. Swanson. Mathematical model of perineural tumor spread: a pilot study. Acta Neurochirurgica, pp 1-7, 21 Dec 17
2. P. Kumethkar, V. Patel, C.Bridge, A.Rademaker, I Helenowski, M.Mrugala, J.K.Rockhill, S.Grimm, K.R. Swanson, J. Razier. Prognosis of Older Patients with Low-grade Glioma: A Retrospective Study.Integrative Cancer Science and Therapeutics, In Press
3. A. Hawkins-Daarud, K. R. Swanson. Precision Medicine in the Clinic: Personalizing a Model of Glioblastoma through Parameterization. Handbook of Mathematical Oncology – bioRxiv, 2017 doi: https:://doi.org/10.1101/037424
4. S. C. Massey, K. R. Swanson. Reaction-Diffusion Model of PDGF-driven Recruitment in Experimental Glioblastoma. Handbook of Mathematical Oncology – bioRxiv, 2017 doi: https:://doi.org/10.1101/038471
5. J. C. L. Alfonso, K. Talkenberger, M. Seifert, B. Klink, A. Hawkins-Daarud, K.R. Swanson, H. Hatzikirou, A. Deutsch. “The biology and mathematical modelling of glioma invasion: a review”. J. Royal Society Interface. vol. 14(136) (2017) Nov 14.
6. JN Sarkaria, LS Hu, IF Parney, DH Pafundi, DH Brinkmann, NN Laack, TC Burns, SH Kizilbash, JK Laramy, KR Swanson, TJ Kaufmann, PD, Brown, NYR Agar, E Galanis, JC Buckner, WF Elmquist. Is the Blood-Brain Barrier Really in all Glioblastomas? – A Critical Assesment of Existing Clinical Data. NeuroOncology 2017 Sep 7. doi: 10.1093/neuonc/nox175. PMID: 29016900
7. SC Massey, RC Rockne, A Hawkins-Daarud, J Gallaher, ARA Anderson, P Canoll, K.R. Swanson. “Simulating PDGF-driven Glioma Growth and Invasion in an Anatomically-Accurate Brain Domain”. Bulletin of Mathematical Biology 2017 Aug 25. PMID: 28842831 DOI: 10.1107/S11538-017-0312-3
8. Gupta A, Sattur MG, Aoun RJN, Krishna C, Bolton PB, Chong BW, Demaerschalk BM, Lyons MK, McClendon J Jr, Patel N, Sen A, Swanson KR, Zimmerman RS, Bendok BR. Hemicraniectomy for Ischemic and Hemorrhagic Stroke: Facts and Controversies. Neurosurg Clin N Am. 2017 Jul;28(3):349-360. doi: 10.1016/j.nec.2017.02.010. Review. PMID: 28600010
9. R.J. Aoun, M.G. Sattur, C. Krishna, A. Gupta, M.E. Welz, A.D. Nanney 3rd, A.H. Koht, M.C Tate, K.H Noe, J.I Sirven, B.J Anderies, P.B. Bolton, T.L. Trentman, R.S. Zimmerman, B.R. Bendok, K.R. Swanson. Awake Surgery for Brain Vascular Malformations and Moyamoya Disease. World Neurosurgery. 2017 April 1. pii: S1878-8750(17)30444-8. doi: 10.1016/j.wneu.2017.03.121. PMID:28377246.
10. C. Rayfield, F. Grady, G. De Leon, R. Rockne, E. Carrasco, P. Jackson, M. Vora, S. Johnston, A. Hawkins-Daarud, K. Clark-Swanson, S. Whitmire, M. Gamez, A. Porter, L. Hu, L. Gonzalez-Cuyar, B. Bendok, S. Vora, K.R. Swanson. “Distinct Clusters of GBM Growth and Response Predict Survival”. JCO Clincial Cancer Informatics – Accepted

2016

1. Hu LS, Ning S, Eschbacher JM, Baxter LC, Gaw N, Ranjbar S, Plasencia J, Dueck AC, Peng S, Smith KA, Nakaji P, Karis JP, Quarles CC, Wu T, Loftus JC, Jenkins RB, Sicotte H, Kollmeyer TM, O’Neill BP, Elmquist W, Hoxworth JM, Frakes D, Sarkaria J, K.R. Swanson, Tran NL, Li J, Mitchell JR. “Radiogenomics to characterize regional genetic heterogeneity in glioblastoma”. PMID: 27502248 PMCID: PMC5193022 DOI: 10.1093/neuonc/now135
2. Sonabend AM, Zacharia BE, Cloney MB, Sonabend A, Showers C, Ebiana V, Nazarian M, K.R. Swanson, Baldock A, Brem H, Bruce JN, Butler W, Cahill DP, Carter B, Orringer DA, Roberts DW, Sagher O, Sanai N, Schwartz TH, Silbergeld DL, Sisti MB, Thompson RC, Waziri AE, McKhann G nd. “Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study”. Neurosurgery. 2017 Apr 1;80(4):590-601. doi: 10.1227/NEU.0000000000001374.
3. Panchanathan RS, Sittur MG, Aoun RJ, Pines AR, K.R. Swanson, Bendok BR. “War on Glioblastoma Multiforme: 2-Pronged Siege on Glutamine”. PMID: 27133092 DOI: 10.1016/j.wneu.2016.04.074
4. RoshanPanchanathan, Rami James N.Aoun, Andrew R.Pines, Mithun G.Sattur, Matthew E.Welz, Kristin Swanson, Bernard R.Bendok “Bioresorbable Intracranial Sensors: A New Frontier for Neurosurgeons” 25 June 2016
5. Rahme RJ, Aoun RJ, Pines AR, K.R. Swanson, Bendok BR. “Defining the Immune Phenotype for Glioblastoma Multiforme: One Step Closer to Understanding Our Enemy”. PMID: 27565464 DOI: 10.1016/j.wneu.2016.08.063

2015

1. PR Jackson, J Juliano, A Hawkins-Daarud, RC Rockne, KR Swanson: “Patient-Specific Mathematical Neuro-Oncology: Using a Simple Proliferation and Invasion Tumor Model to Inform Clinical Practice”. Bulletin of Mathematical Biology 2015, 77(5):846-56 PMID: 25795318 PMCID: PMC4445762
2. A. Hawkins-Daarud, R. Rockne, D. Corwin, A.R.A. Anderson, P. Kinahan, K. Swanson. “In Silico Analysis Suggests Differential Response to Bevacizumab and Radiation Combination Therapy in Newly Diagnosed Glioblastoma”. J. Royal Society Interface. vol. 12(109)(2015) doi: 10.1098/rsif.2015.0388. PMID: 26202682
3. R. C. Rockne, A. D. Trister, J. Jacobs, A. Hawkins-Daarud, M. L. Neal, K. Hendrickson, M. M. Mrugala, J. K. Rockhill, P. Kinahan, K. A. Krohn, and K. R. Swanson. “A patient-specific computational model of hypoxia-modulated radiation-resistance in glioblastoma using 18F-FMISO PET”. J. Royal Society Interface.vol. 12(103) (2015).
4. Hu LS, Ning S, Eschbacher JM, Gaw N, Dueck AC, Smith KA, Nakaji P, Plasencia J, Ranjbar S, Price SJ, Tran N, Loftus J, Jenkins R, O’Neill BP, Elmquist W, Baxter LC, Gao F, Frakes D, Karis JP, Zwart C, Swanson KR, Sarkaria J, Wu T, Mitchell JR, Li J: “Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma”. PLoS One. 2015 Nov 24;10(11):e0141506. doi: 10.1371/journal.pone.0141506. eCollection 2015.
5. Morshed RA, Gutova M, Juliano J, Barish ME, Hawkins-Daarud A, Oganesyan D, Vazgen K, Yang T, Annala A, Ahmed AU, Aboody KS, Swanson KR, Moats RA, Lesniak MS.: “Analysis of glioblastoma tumor coverage by oncolytic virus-loaded neural stem cells using MRI-based tracking and histological reconstruction”. Cancer Gene Ther. 2015 Jan;22(1):55-61. doi: 10.1038/cgt.2014.72. Epub 2014 Dec 19.

2014

1. R. Rockne, M. Neal, A. D. Trister, J. Jacobs, A. Hawkins-Daarud, J. K. Rockhill, M. Mrugala, P. Kinahan, K.A. Krohn, K. Hendrickson, K.R. Swanson. “A patient-specific computational model of hypoxia-modulated radiation-resistance in glioblastoma using 18F-FMISO PET”. Journal of The Royal Society Interface 2015 12 20141174; Published 24 December 2014 DOI: 10.1098/rsif.2014.1174.
2. R. A. Morshed, M. Gutova, J. Juliano, M. E. Barish, A. Hawkins-Daarud, D. Oganesyan, K. Vazgen, T. Yang, A. Annala, A. U. Ahmed, K. S. Aboody, K.R. Swanson, R. A. Moats, M. S. Lesniak. “Analysis of glioblastoma tumor coverage by oncolytic virus-loaded NSCs using MRI-based tracking and histological reconstruction”. Cancer Gene Therapy, (19 December 2014) | doi:10.1038/cgt.2014.72
3. S. Zammar, Y Hamade, R. J. Aoun, N. E. El Tecle, T. El Ahmadieh, R. R. Lall, Z. D. Taub, K.R. Swanson, J. P. Chandler, B. R. Bendock. “Precision Medicine in Brain Arteriovenous Malformation Management: Arteries Steal the Show but Veins May Hold the Crystal Ball”. December 2014 – Volume 75(6)- p N13–N14 doi: 10.1227/01.neu.0000457193.02158.c9
4. J. E. Adair, S. K. Johnston, B. C. Beard, L. A. Guyman, A. L. Baldock, C. A. Bridge, A. Hawkins-Daarud, D. Born, J. K. Rockhill, D. L. Silbergeld, M. Mrugala, R. C. Rockne, *K.R. Swanson, *H-P. Kiem. (*co-senior authors) “Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients”. Journal of Clinical Investigation, Aug 8, 2014;124(9):4082-4092. doi:10.1172/JCI76739 .
5. T. Jackson, N. Komarova,K.R. Swanson. “Mathematical Oncology: Using Mathematics to Enable Cancer Discoveries”. American Mathematical Monthly Issue 9 Volume 121 Issue 9 Volume 121 #14-00076AMM
6. A. L. Baldock, S. Ahn, R. Rockne, M. Neal, D. Corwin, H. Malone, V. Ebaina, A. Sonabend, M. M. Mrugala, J. K. Rockhill, R. Rostomily, D. L. Silbergeld, A. Lai, T. Cloughesy, G. McKhann, J. Bruce, P. Canoll, K.R. Swanson. “Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas”. Published 28 Oct 2014 | PLOS ONE 10.1371/journal.pone.0099057
7. A. L. Baldock, K. Yagle, D. E. Born, S. Ahn, A. D. Trister, M. Neal, S. K. Johnston, C. Bridge, D. Basanta, J. Scott, H. Malone, A. M. Sonabend, P. Canoll, M. Mrugala, J. K. Rockhill, R. C. Rockne, K.R. Swanson. “Invasion and Proliferation Kinetics in Enhancing Gliomas Predict IDH1 Mutation Status”, Neuro-Oncology, Jun 2014;16(6):779-786.
8. Timothy R. Smith, M.D., Ph.D., M.P.H., Rohan R. Lall, M.D., Rishi R. Lall, M.D., Isaac Josh Abecassis, M.D., Omar M. Arnaout, M.D., MaryAnne H. Marymont, M.D.,K.R. Swanson, and James P. Chandler, M.D. “Survival after surgery and stereotactic radiosurgery for patients with multiple intracranial metastases: results of a single-center retrospective study: Clinical article”. Journal of Neurosurgery Oct 2014 / Vol. 121 / No. 4, Pages 839-845

2013

1. David Corwin, Clay Holdsworth, Russell C. Rockne, Andrew D. Trister, Maciej M. Mrugala, Jason K. Rockhill, Robert D. Stewart, Mark Phillips, Kristin R. Swanson Toward Patient-Specific, “Biologically Optimized Radiation Therapy Plans for the Treatment of Glioblastoma”. PLOS ONE. 2013 Nov 12. Article DOI: 10.1371/journal.pone.0079115
2. A. Hawkins-Daarud, R. Rockne, A. R. A. Anderson, K.R. Swanson. “Modeling glioma-associated edema during anti-angiogenic therapy”. Frontiers in Molecular and Cellular Oncology, 3(66), 2013 PubMed ID: 23577324*Most accessed paper of all time in this journal – May 2014 *Ranked as #1 Paper in this journal – May 2013
3. A. L. Baldock, R. Rockne, A. Boone, M. Neal, M. M. Mrugala, J. K. Rockhill, K.R. Swanson. “From Patient-Specific Mathematical Neuro-Oncology Towards Precision Medicine”.  Frontiers in Molecular and Cellular Oncology, 2013 3(62) PubMed ID: 23565501 *Ranked as #3 Paper in this journal – May 2013
4. Neal ML, Trister AD, Ahn S, Baldock A, Bridge CA, Guyman L, Lange J, Sodt R, Cloke T, Lai A, Cloughesy TF, Mrugala MM, Rockhill JK, Rockne RC, Swanson KR. “Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression”. Cancer Research. 2013 May 15;73(10):2976-2986. Article DOI:10.1158/0008-5472.CAN-12-3588.ISSN: 00085472
5. Neal ML, Trister AD, Cloke T, Sodt R, Ahn S, Baldock AL, Bridge CA, Lai A, Cloughesy TF, Mrugala MM, Rockhill JK, Rockne RC, Swanson KR. “Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric”. PLoS ONE. 2013 Jan 29;8(1): Article DOI:10.1371/journal.pone.0051951. ISSN: 19326203

2012

1. Holdsworth CH, Corwin D, Stewart RD, Rockne R, Trister AD, Swanson KR, Phillips M. “Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma”. Physics in Medicine and Biology. 2012 Dec 21;57(24):8271-8283. Article DOI:10.1088/0031-9155/57/24/8271. ISSN: 00319155
2. S. Ivkovic, C. Beadle, S. C. Massey, K.R. Swanson, P. Canoll, S. S. Rosenfeld. “Direct Inhibition of Myosin II Effectively Blocks Glioma Invasion In The Presence Of Multiple Motogens”. Molecular Biology of the Cell, 23:533-42, Feb 2012, Pubmed ID: 22219380
3. S. C. Massey, M. C. Assanah, K. A. Lopez, P. Canoll, K.R. Swanson. “Progenitor cell recruitment drives aggressive glioma growth: mathematical and experimental modeling”. [Published online ahead of print 7 Feb 2012.] Journal of the Royal Society Interface, 2012. Pubmed ID: 22319102

2011

1. D. Basanta, J. G. Scott, R. Rockne, K.R. Swanson, A. R. A. Anderson: “The role of IDH1 mutated tumour cells in secondary glioblastomas: an evolutionary game theoretical view”. Physical Biology,8(1):, 2011 Pubmed ID: 21301070Top 3% of downloaded articles across all Institute of Physics Journals for 2011
2. S. Gu, G. Chakraborty, K. Champley, A. Alessio, J. Claridge, R. Rockne, M. Muzi, K. A. Krohn, A. M. Spence, E. C. Alvord Jr, A. R. A. Anderson, P. Kinahan, K.R. Swanson. “Applying A Patient-Specific Bio-Mathematical Model of Glioma Growth to Develop Virtual [18F]-FMISO PET Images”. Mathematics in Medicine and Biology;, 2011 Article DOI: 10.1093/imammb/dqr002
3. J. Scott, D. Basanta, P. Chinnaiynan, P. Canoll, K.R. Swanson, A. R. A. Anderson. “Production of 2-HG by IDH-1 mutated gliomas: an evolutionary alternative to the Warburg shift?” Neuro-Oncology, 13(12):1262-4,2011 Pubmed ID: 21784755
4. Swanson KR, Rockne RC, Claridge J, Chaplain MA, Alvord EC Jr, Anderson AR. “Quantifying the role of angiogenesis in malignant progression of gliomas: In silico modeling integrates imaging and histology”. Cancer Research;, 2011 Pubmed ID: 21900399<
5. E. A. Stoll, B. A. Habibi, A. M. Mikheev, J. Lusiene, S. C. Massey, K.R. Swanson, R. C. Rostomily, P. J. Horner. “An increased mitotic rate partially compensates for decreased neural stem cell number, survival and differenitation in aged mouse subventricular zone”. Stem Cell, 29(12):2005-17, Dec 2011 Pubmed: 21948688

2010

1. R. Rockne, J. K. Rockhill, M. Mrugala, A. M. Spence, I. Kalet, K. Hendrickson, A. Lai, T. Cloughesy, E. C. Alvord Jr, K.R. Swanson. “Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach”. Physics in Medicine and Biology, 55(12). Article DOI: 10.1088/0031-9155/55/12/001
   **Awarded Top 10 Best Publication in PMB for 2010;
   Finalist for Roberts’ Prize from Institute of Physics and Engineering in Medicine**
2. L-E Bohman, K.R. Swanson, J. Moore, R. Rockne, C. Mandigo, T. Hankinson, M. Assanah, P. Canoll, J. N. Bruce. “Preoperative MRI Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny”. Neurosurgery, 67(5):1319-27, 2010 Pubmed ID: 20871424

2009

1. M. Assefa, R. Rockne, E. C. Alvord Jr., G. Chakraborty, K.R. Swanson “A Bio-Mathematical Analysis of the Velocity of Glioma Growth Before and After Contrast-Enhancement”. Ethnicity and Disease.
2. K.R. Swanson, G. Chakraborty, C. H. Wang, R. Rockne, H. L. P. Harpold, M. Muzi, T. C. H. Anderson, K. A. Krohn, A. M. Spence: “Complimentary but Distinct Roles for MRI and 18F-Fluoromisonidazole PET in the Assesment of Human Glioblastmoas”. Journal of Nuclear Medicine, 50: 36-44 2009. Pubmed ID: 19091885
   **Honored by the Journal of Nuclear Medicine for being one of the three best clinical investigations for 2009**
3. P. Hinow, P. Gerlee, L. J. McCawley, V. Quaranta, M. Ciobanu, S. Wang, J. M. Graham, B. P. Ayati, J. Claridge, K.R. Swanson, M. Loveless, A. R. A. Anderson: “A spatial model of tumor-host interaction: application of chemotherapy”. Mathematical Biosciences and Engineering, Volume 6, Number 1 2009. ArXiv DOI: 0810.1024
4. M. D. Szeto, G. Chakraborty, J. Hadley, R. Rockne, M. Muzi, E. C. Alvord Jr., K. Krohn, A. M. Spence, K.R. Swanson: “Quantitative Metrics of Net Proliferation and Invasion Link Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET in Newly Diagnosed Glioblastomas”. Cancer Research 69(10):4502-9 2009 Pubmed ID: 19366800
5. C. Wang, J. K. Rockhill, M. Mrugala, D.L. Peacock, A. Lai, K. Jusenius, J. M. Wardlaw, T. Cloughesy, A. M. Spence, R. Rockne, E. C. Alvord Jr., K.R. Swanson: “Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model”. Cancer Research 69:23 9133-40 2009 Pubmed ID:19934335

2008

1. K.R. Swanson, R. Rostomily, E. C. Alvord, Jr.: “Predicting Survival of Patients with Glioblastoma by Combining a Mathematical Model and Pre-operative MR imaging Characteristics: A Proof of Principle”. British Journal of Cancer, 98, 113-9, 2008, Article DOI: 10.1038/sj.bjc.6604125
2. K.R. Swanson, “Quantifying glioma cell growth and invasion in vitro“. Mathematical and Computer Modelling 47: 638-648, 2008 Article DOI: 10.1016/j.mcm.2007.02.024
3. K.R. Swanson, H. L. P. Harpold, D. L. Peacock, R. Rockne, C. Pennington, L. Kilbride, R. Grant, J. Wardlaw, E. C. Alvord, Jr. “Velocity of Radial Expansion of Contrast-Enhancing Gliomas and Effectiveness of Radiotherapy in Individual Patients: A Proof of Principle”. Clinical Oncology 20: 301-308, 2008. Pubmed ID: 18308523
4. A. M. Spence, M. Muzi, K.R. Swanson, F. O’Sullivan, J. K. Rockhill, J. G. Rajendran, T. C. H. Adamsen, J. M. Link, P. E. Swanson, K. J. Yagle, R. C. Rostomily, D. L. Silbergeld, K. A. Krohn. “Regional Hypoxia in Glioblastoma Multiforme Quantified with Flouromisonidazole Positron Emission Tomography before Radiotherapy: Correlation with Time to Progression and Survival” Clinical Cancer Research 14: 2623-2630, 2008. Pubmed ID: 18451225
5. R. Rockne, E. C. Alvord Jr., J. K. Rockhill, K.R. Swanson: “A Mathematical Model for Brain Tumor Response to Radiation Therapy”. Journal of Mathematical Biology, Special Issue on Computational Oncology 2008 Pubmed ID: 18815786
6. R.Rockne, E. C. Alvord Jr., M. Szeto, S. Gu, G. Chakraborty, K.R. Swanson. “Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy”. In: Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy. Ed. Bellomo N, Chaplain M, de Angelis E. Birkhauser, Boston MA. 2008 ISBN 13978-0817647124G.
7. R. Rockne, E. C. Alvord, Jr, M. Szeto, S. Gu, G. Charkraborty, K.R. Swanson. “Modeling Glioma Growth and Invasion”. Chapter in Edited Book: Selected Topics on Cancer Modelling: Genesis – Evolution – Immune Competition – Therapy. Nicola Bellomo, Mark Chaplain, and Elena De Angelis Eds., ISBN 0817647120, Sept 25, 2008
8. R. Rockne, E. C. Alvord Jr., P. Reed, K.R. Swanson: “Modeling the growth and invasion of gliomas, from simple to complex: the Goldie Locks paradigm”. BIOMAT 2007 International Symposium on Mathematical and Computational Biology. Ed. Mondaini R. 2008 World Scientific

2007

1. H. L. P. Harpold, E. C. Alvord, Jr., K.R. Swanson: “The evolution of mathematical modeling of glioma growth and invasion”. Journal of Neuropathology and Experimental Neurology, 66(1):1-9, 2007. Pubmed ID: 17204931
2. Krohn KA, O’Sullivan F, Crowley J, Eary JF, Linden HM, Link JM, Mankoff DA, Muzi M, Rajendran JG, Spence AM, Swanson K.R. “Challenges in clinical studies with multiple imaging probes”. Nuclear Medicine Biology 34: 879-85, 2007. Pubmed ID: 17921038

2006

1. K.R. Swanson, H. L. P. Harpold, L. D. True: “Prostate Specific Antigen: A Clinical and Mathematical Conundrum”. American Journal of Clinical Pathology, 125 (3): 331-333, 2006. Pubmed ID: 16613335
2. H. L. P. Harpold, P. Vicini, K.R. Swanson: “Kinetic Modeling of FLT-PET to Generate Parametric Maps of Proliferation”. Journal of Undergraduate Research in Bioengineering, 6(1):49-68, 2006. JURIBE

2005

1. J. Gottman, K. Ryan, K.R. Swanson, C. Swanson: “Proximal change experiments with couples: a methodology for empirically building a science of effective interventions for changing couples’ interaction”. Journal of Family Communication, 5(3):163-190 2005. Article DOI 10.1207/s15327698jfc0503_1
2. A.M. Spence, D. A. Mankoff, M. Muzi, K.R. Swanson: “Nuclear Imaging of Gliomas”. in Barnett GH, ed. High-Grade Gliomas: Diagnosis and Treatment, Humana Press Inc, Totowa, NJ, 2005
3. H. Hatzikirou, A. Deutsch, C. Schaller, M. Simon, K.R. Swanson. “Mathematical Modelling of Glioblastoma Tumour Development: A Review”. Mathematical Models and Methods in Applied Sciences, 15(11), 1779-1794, November 2005. Article DOI 10.1142/S0218202505000960
4. S. Jbabdi, E. Mandonnet, H. Duffau, L. Capelle, K.R. Swanson, M. Pelegrini-Issac, R. Guillevin, H. Benali: “Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging”. Magnetic Resonance in Medicine, 54:616–624, 2005. Pubmed ID: 16088879

2004

1. K.R. Swanson, E. C. Alvord Jr., J. D. Murray: “Dynamics of a Model for Brain Tumors Reveals a Small Window for Therapeutic Intervention”, Discrete and Continuous Dynamical Systems – Series B , 4(1):289—295, 2004
2. A. M. Spence, M. Muzi, D. A. Mankoff, S. Finbarr O’Sullivan, J. M. Link, T. K. Lewellen, B. Lewellen, P. Phan, S. Minoshima, K.R. Swanson, K. A. Krohn. “FDG-PET Imaging of Gliomas at Delayed Intervals: Improved Distinction Between Tumor and Normal Gray Matter”, Journal of Nuclear Medicine, 45: 1653-1659, 2004. Pubmed ID: 15471829
3. S. Palfi, K.R. Swanson, S. De Bouard, F. Chretien, R. Oliveira, C. Le Guerinel, J. M. Kros, M. Peschanski, R. Gherardi, C. Christov: “Correlation of in vitro infiltration with glioma histological type in organotypic brain slices”. British Journal of Cancer, 91, 745 – 752, 2004. Pubmed ID: 15292940
4. K.R. Swanson: “Anatomic Determinants of Tumor Growth: Integrating Quantitative Modeling and Imaging”. Proceedings of the American Society for Neuroradiology 2004

2003

1. K.R. Swanson, L. D. True, J. D. Murray: “On the use of quantitative modeling to help understand PSA dynamics and other medical problems”. American Journal of Clinical Pathology, 119(1):14-7, 2003. Pubmed ID: 12520692
2. E. Mandonnet, J-Y Delattre, M-L Tanguy, K.R. Swanson, A. F. Carpentier, H. Duffau, P. Cornu, R. Van Effenterre, E. C. Alvord Jr., and L. Capelle: “Continuous growth of mean tumor diameter in a subset of WHO grade II gliomas”. Annals of Neurology, 53:524 – 528, 2003. Pubmed ID: 12666121
3. J. M. Gottman, R. Levenson, C. Swanson, K.R. Swanson, R. Tyson, D. Yoshimoto: “Observing Gay, Lesbian and Heterosexual Couples’ Relationships: Mathematical Modeling of Conflict Interaction”. Journal of Homosexuality, 45(1):65-91, 2003. Pubmed ID: 14567654
4. K.R. Swanson, E. C. Alvord Jr., J. D. Murray: “Virtual Resection of Gliomas: Effect of Extent of Resection on Recurrence”. Mathematical and Computer Modelling, 37(11):1177-1190, 2003 [Special Issue: “Modeling and Simulation of Tumor Development, Treatment, and Control”]
5. K.R. Swanson: “Clinical Application of a Mathematical Model for Glioma Growth and Invasion”. In: Mathematical Modelling and Computing in Biology and Medicine, V. Capasso (ed.), Milan Research Center for Industrial and Applied Mathematics, Progetto Leonardo, pp. 629-636, 2003
6. K.R. Swanson, C. Bridge, J. D. Murray, E. C. Alvord Jr.: “Virtual and Real Brain Tumors: Using Mathematical Modeling to Quantify Glioma Growth and Invasion”. Journal of the Neurological Sciences, 216(1):1-10, 2003. Pubmed ID: 14607296

2002

1. K.R. Swanson, E. C. Alvord Jr., J. D. Murray: “Virtual Brain Tumors (Gliomas) Enhance the Reality of Medical Imaging and Highlights Inadequacies of Current Therapy”. British Journal of Cancer, 86:14-18, 2002 [Selected to be featured in the 2003 Yearbook of Oncology, Elsevier Science]. Article DOI: 10.1038/sj.bjc.6600021
2. J. M. Gottman, C. Swanson, K.R. Swanson: “A General Systems Theory of Marriage: Nonlinear Difference Equation Modeling of Marital Interactions”. Personality and Social Psychology Review, 6(4): 326-340, 2002. Article DOI: 10.1207/S15327957PSPR0604_07
3. K.R. Swanson, E. C. Alvord Jr., J. D. Murray: “Quantifying Efficacy of Chemotherapy of Brain Tumors (Gliomas) with Homogeneous and Heterogeneous Drug Delivery”. Acta Biotheoretica, 50(4): 223-237, 2002. Pubmed ID: 12675529

2001

1. K.R. Swanson, J.D. Murray, D. Lin, L. D. True, K. Buhler, R. Vessella: “A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth: an explanation for a medical anomaly”. American Journal of Pathology, 158(6): 2195-9, 2001. Pubmed ID: 11395397

2000

1. K.R. Swanson, E. C. Alvord Jr., J. D. Murray: “A Quantitative Model for Differential Motility of Gliomas in Grey and White Matter”. Cell Proliferation, 2000, 33: 317-329. Pubmed ID:11063134

1999

J. D. Murray, K.R. Swanson: “On the Mechanochemical Theory of Biological Pattern Formation with Applications to Wound Healing and Angiogenesis”. In: On Growth and Form: Spatio-temporal Patterning in Biology, edited by Drs. M. A. J. Chaplain, J. McLauchlan, G. D. Singh, Wiley (London), 1999, pp. 251-285. Article DOI: 10.1016/S1631-0691(03)00065-9

Letters to the Editor

2018

SC Massey, SK Johnston, PD Canoll, JN Bruce, BR Bendok, KR Swanson. “Letter: Surgical Decision Making From Image-Based Biophysical Modeling of Glioblastoma: Not Ready for Primetime.” Neurosurgery. 2018 Jan 1; 82 (1):E17-E18 . doi: doi.org/10.1093/neuros/nyx481

2014

Trister A, Scott J, Rockne R, Yagle K, Johnston SK, Hawkins-Daarud A, Baldock A, Swanson KR. Response to “Tumor cells in search for glutamate: an alternative explanation for increased invasiveness of IDH1 mutant gliomas”. Neuro Oncol. 2014 Dec;16(12):1670-1. doi: 10.1093/neuonc/nou290.

2006

K. R. Swanson, E. C. Alvord Jr.: “Using Mathematical Modeling to Predict Survival of Low Grade Gliomas”. Annals of Neurology. 60 380-383. 2006 PDF

Published Abstracts

2021

SA Walker, A Pham, S Nizzero, M Kim, B Riter, J Bletz, S Judge, B Phillips, D Noble, D Murray, E Wetzel, S Samson, M McMahon, C Flink, J Couch, C Tomlin, KR Swanson, ARA Anderson, D Odde, H Shen, S Hughes, N Zahir, H Enderling, J Wolfram. Education and Outreach in Physical Sciences in Oncology. Trends in Cancer. 2021 Jan;7(1):3-9. doi: 10.1016/j.trecan.2020.10.007. Epub 2020 Nov 7. PMID: 33168416.

L Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, PR Jackson, K Clark-Swanson, CP Sereduk, S Peng, P Wang, J Wang, LC Baxter, KA Smith, GL Mazza, AM Stokes, BR Bendok, RS Zimmerman, C Krishna, AB Porter, MM Mrugala, JM Hoxworth, T Wu, NL Tran, KR Swanson, J Li. Uncertainty Quantification in Radiogenomics: EGFR Amplification in Glioblastoma. Scientific Reports, 11(3932), 2021 PMID: 33594116 PMCID: PMC7886858 DOI: 10.1038/s41598-021-83141-Z

K Bond, M McCarthy, JB Rubin, KR Swanson. Molecular Omics Analyses Should Require Sex-Specific Annotation: A Call for Action. Nature Communications, 2021, In Press

L Wang, A Hawkins-Daarud, KR Swanson, LS Hu, J Li., Knowledge-infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine, IEEE Transactions on Automation Science and Engineering, In Press

S Tripathi, T Vivas-Biutrago, R Domingo, G De Biase, D Brown, O Akinduro, A Ramos-Fresnedo, W Sherman, V Guptka, E Middlebrooks, D Sabsevitz, A Porter, J Uhm, B Bendok, I Parney, F Meyer, K Chaichana,K Swanson, A Quinones-Hinojosa. IDH-Wildtype Glioblastoma Cell Density Distribution and Infiltration Predicts Supramarginal Resection Impact on Overall Survival: A Mathematical Model. Journal of Neurosurgery, In Press

2020

Ashif Iquebal, Nick Pfeiffer, Sara Ranjbar, KR Swanson, Barbara Pockaj, Patricia Cronin, Donald Northfelt, Brenda Ernst, Karen Anderson, Bhavika Patel. “Prediction of Molecular Breast Cancer Subtypes: Interpretable MRI Machine Learning and Radiomics Models.”

Reyna Patel, Lee Curtin, Lujia WangXq, Gustavo Deleon, Javier C. Urcuyo, Kyle W.Singleton, Pamela R. Jackson, Andrea Hawkins-Daarud, Kamala Clark-Swanson, Jennifer M.Eschbacher, Fulvio D’Angelo, Francesca P Caruso, Michele Ceccarelli, Antonio Iavarone, Anna Lasorella, Junwen Wang, Chris P. Sereduk, Kliment Donev, Bernard Bendok, Richard Zimmerman, Devi Patra, Rudy Rahme, Naresh Patel, Mark Lyons, Chandan Krishna, Ali Turkmani, Gina L. Mazza, Alyx Porter, Maciej M. Mrugala, Kris A. Smith, Peter Nakaji Ashley Stokes, Leslie C. Baxter, Yuxiang Zhou1, Jing Li4, Nhan L. Tran, Kristin R.Swanson Leland S. Hu. Unique regional MRI phenotypes of EGFR amplification within the non-enhancing segment of Glioblastoma (GBM)

PJ Jackson, M Kim, A Hawkins-Daarud, KW Singleton, A Mohammad, T Burns, IF Parney, LS Hu,T Kaufmann, W Elmquist, JN Sarkaria, KR Swanson. “Pre-surgical Advanced MRI Is Useful for Forecasting Drug Distribution in Brain Tumors”. Annual meeting of the Society for NeuroOncology (SNO) annual meeting, Nov 2021

S Ranjbar, KW Singleton, D Boyett, M G Argenziano, J Grinbald. P Canoll, KR Swanson.”MRI-based estimation of the abundance of immunohistochemistry markers in GBM brain using deep learning”. Annual meeting of the Society for NeuroOncology (SNO) annual meeting, Nov 2021

S Channar, S Ranjbar, PR Jackson, LS Hu, M Regan, W Abdelmoula, BC Lopez, S Macura, J Agar, JN Sarkaria, N Agar, KR Swanson. “Analyzing the interface between MRI and drug distribution using orthotopic GBM-derived xenograft (PDX) models”. Annual meeting of the Society for NeuroOncology (SNO) annual meeting, Nov 2021

KM Bond, A Hawkins-Daarud, G De Leon, L Curtin, JC Urcuyo, KW Singleton, KR Clark-Swanson, C. Sereduk, NL Tran, LS Hu, IF Parney, KR Swanson, “Radiomics-predicted T cell dynamics stratify survival after dendritic cell vaccine therapy for primary glioblastoma”. Annual meeting of the Society of NeuroOncology (SNO) annual meeting, Nov 2021

S Ranjbar, KW Singleton, D Boyett, MG Argenziano, J Grinbald, P Canoll, KR Swanson. “MRI-based estimation of the abundance of immunohistochemistry markers in GBM brain using deep learning”. Virtual NCI PS-ON Annual Investigators Meeting Aug 2021

S Channar, S Ranjbar, PR Jackson, LS Hu, M Regan, W Abdelmoula, BC Lopez, S Macura, J Agar, JN Sarkaria, N Agar, KR Swanson. “Analyzing the interface between MRI and drug distribution using orthotopic GBM-derived xenograft (PDX0 models”. Virtual NCI PS_ON Annual Meeting Aug

S Channar, S Ranjbar, PR Jackson, LS Hu, M Regan, W Abdelmoula, BC Lopez, S Macura, JN Sarkaria, N Agar, KR Swanson. “Analyzing the interface between MRI and drug distribution using orthotopic GBM-derived xenograft PDX) models”. Virtual NCI PO_ON Annual investigators Aug, 2021

PR Jackson,M Kim, A Hawkins-Daarud, KW Singleton, A Mohammad, T Burns, I Parney, LS Hu, T Kaufmann, W Elmquist, JN Sarkaria, KR Swanson.”Pre-surgical Advanced MRI is Useful for Forecasting Drug Distribution in Brain Tumors”. Virtual NCI PS-ON Annual Investigators Meet Aug 2021

JC Uruyo, SC Massey, A Hawkins-Daarud, BM Marin, DM Burgenske, JN Sarkaria, KR Swanson. “Heterogeneity in glioblastoma treatment response incorporating blood-brain breakdown in preclinical models”. Virtual NCI PS-ON Annual Investigators Meeting Aug 2021.

JC Urcuyo, A Hawkins-Daarud, NL Tran, LS Hu, KR Swanson. “Exploring the Glioblastoma-Immune Dynamics with Mathematical Modeling and Transcriptome Sequencing” Annual meeting of the Society for Mathematical Biology, Virtual June 2021

L. Curtin, B Morris, CP Sereduck, A Hawkins-Daarud, JC Loftus, JM Kloss, ME Hubbard, Mr Owen,LS Hu, NL Tran, KR Swanson. “Discerning Glioblastoma Subpopulation Interactions through in Vito Experiments and Mathematical Modeling”. Annual meeting of the Society for Mathematical Biology, Virtual, June 2021

KW Singleton, S Ranjbar, LS Hu, KR Swanson. “Stability of MRI-based Radiomics Analysis of Glioblastoma Patients in Repeat Scans Across Different Institutions”. Mayo Clinic Artificial Intelligence Symposium, Virtual, May 2021

S Ranjbar, KW Singleton, L Curtin, CR Rickertsen, LE Paulson, LS Hu, JR Mitchell, KR Swanson “Robust Automatic Skull Stripping on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnets”. Mayo Clinic Artificial Intelligence Symposium, Virtual, May 2021

S Ranjbar, KW Singleton, LS Hu, KR Swanson. “Comparison of Generative Adversarial Networks-based synthetic brain tumor patient MRI’s in unpaired and paired training schemes”. Mayo Clinic Artificial Intelligence Symposium, Virtual May 2021

KW Singleton, S Ranjbar, LS Hu,KR Swanson, “Stability of MRI-based Radiomics Analysis of Glioblastoma Patients in Repeat Scans Across Different Institutions”. Mayo Clinic Research Day Virtual, April 2021.

S Ranjbar, KW Singleton, PR Jackson, LS Hu, KR Swanson. “Synthesizing MRI Sequences of Brain Tumor Patients from Existing Data Using Artificial Intelligence”. Mayo Clinic Research Day, Virtual, April 2021.

Hawkins-Daarud, P Jackson, L Curtin, K Singleton, G De Leon, J Lorence, J Urcuyo, L Paulson, C Rickertsen, S Ranjbar, L Hu, KR Swanson. Clinical Testing of MRI Based Model Predicting Drug Distribution of Low Blood Brain Barrier Penetrant Drug A. Annual Meeting of the Physical Sciences Oncology Network, September 2020 – Virtual Meeting

S Ranjbar, KW Singleton, L Curtin, CR Rickertsen, LE Paulson, LS Hu, JR Mitchell, KR KR Swanson “Robust Automatic Skull Stripping on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnets”. Mayo Clinic Research Day, Virtual, April 2021.

PR Jackson, M Kim, A Hawkins-Daarud, KW Singleton, AS Mohammad, TC Burns, IF Parney, LS. Hu, TJ Kaufmann, WF Elmquist, JN Sarkaria, KR Swanson. Developing Image-based Models of Drug Distribution for Glioblastoma Patients. Annual Meeting of the Physical Sciences Oncology Network, September 2020 – Virtual Meeting

2019

C Mackintosh, R Butterfield, N Zhang, J Lorence, B Bendok, R Zimmerman, KR Swanson, A Porter, M Mrugala. Does the Location Matter? Characterization of the Anatomic Locations, Molecular Profiles, and Clinical Features of Gliomas. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.
A Hawkins-Daarud, H Yoon, D Monie, KW Singleton, S Ranjbar, N Tran, B Badie, R Rockne, CE Brown, L Hu, J Bruce, PD Canoll, J Li, KR Swanson. Revealing the Tumor-Immune Landscape through spatially resolved radiomics: Case Studies. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

JC Urcuyo, SC Massey, BM Marin, JN Sarkaria, KR Swanson. Quantifying individualized ABT-414 sensitivity and blood-brain barrier penetrance from serial imaging of patient-derived xenografts models of glioblastoma. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

SK Johnston, A Khurana, P Whitmire, S Ranjbar, A Sharma, A Hawkins-Daarud, JB Rubin, AB Porter, PD Canoll, K Egan, LS Hu, MM Mrugala, P Kumthekar, KR Swanson. Sex differences in predictors of seizure in contrast-enhancing gliomas at clinical presentation: a network approach. 2019 PDF

S Ranjbar, L Curtin, P Whitmire, LS Hu, KR Swanson. Detection of cystic glioblastoma from magnetic resonance imaging using deep learning techniques. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

B Morris, L Curtin, A Hawkins-Daarud, B Bendok, M Mrugala, J Li, N Tran, L Hu, M Hubbard, M Owen, KR Swanson. Identifying the spatial and temporal dynamics of glioblastoma subpopulations within individual patients. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

A Khurana, S Ranjbar, SK Johnston, LS Hu, P Whitmire, A Sharma, KR Swanson. Predicting seizure in glioma patients using a random forest classifier trained on male-only, female-only and mixed cohorts. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

J Lorence, S Ranjbar, P Whitmire, CR Rickertsen, SK Johnston, H White, KW Singleton, LS Hu, JR Mitchell, AB Porter, MM Mrugala, BR Bendok, JB Rubin, KR Swanson. Impact of tumor location on image-derived volume, proliferation rate and growth velocity in glioblastoma patients. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

L Curtin, P Whitmire, H White, MM Mrugala, LS Hu, KR Swanson. Lacunarity and fractal dimension act as pretreatment imaging biomarkers for survival in glioblastoma patients. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

L Curtin, P Whitmire, CR Rickertsen, P Canoll, MM Mrugala, KR Swanson, LS Hu. Cystic glioblastoma presentation as a beneficial prognostic indicator for overall survival. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

SC Massey, A Hawkins-Daarud, S Bayless, PR Jackson, R Grove, K Bakken, L He, AC Mladek, A Stokes, AC Gonzales, A Nespodzany, J Eschbacher, LC Baxter, KA Smith, P Nakaji, S McGee, BR Bendok, T Burns, JN Sarakaria, LS Hu, KR Swanson. Sex differences in imaging-based assessment of glioblastoma invasion. Society for Neuro-Oncology Annual Scientific Meeting November 22 – 24, 2019, Phoenix, Arizona.

PR Jackson, Y Zhou, J Hoxworth, KR Swanson, LS Hu. Does the presence of gadolinium affect T2–weighted images of glioma?: Implications for MRI protocol standardization. Society for Neuro-Oncology Annual Scientific Meeting, November 22 – 24, 2019, Phoenix, Arizona.

PR Jackson, A Hawkins-Daarud, Swanson KR. Parameterizing a brain tumor growth model using simulated MRIs. NCI Mathematical Oncology Conference 2019, Portland, OR.

SC Massey, P Whitmire, TE Doyle, MM McCarthy, M Sayers-Wilson, MM Mrugala, L Hu, ARA Anderson, P Canoll, S Fitzpatrick, J Rubin, Swanson KR. Sex matters in health and disease: a review of biological sex differences with a case study in glioblastoma. PeerJ May 9, 2019. PDF

2018

Swanson KR, N Gaw, A Hawkins-Daarud, PR Jackson, KW Singleton, L DeGirolamo, J Eschbacher, L Baxter, K Smith, P Nakaji, S McGee, K Clark-Swanson, B Bendok, A Dueck, T Wu, J Li, L Hu. Radiomics of Tumor Invasion 2.0: Combining Mechanistic Tumor Invasion Models with Machine Learning Models to Accurately Predict Tumor Invasion in Human Glioblastoma Patients. Annual Meeting SNO, 2018, San Francisco, CA.

L Hu, H Yoon, J Eschbacher, L Baxter, K Smith, P Nakaji, S McGee, A Dueck, C Quarles, J Karis, A Hawkins-Daarud, P Jackson, S Massey, T Wu, Swanson KR, J Li. Accurate Patient-Specific Machine Learning Models of Glioblastoma Invasion Using Transfer Learning. Annual Meeting SNO, 2018. San Francisco, CA.

G De Leon, SK Johnston, KW Singleton, CR Rickertson, S Bayless, S Yee, A Khalifa, K Clark-Swanson, A Porter, B Bendok, A Rodriguez, B Badie, P Sahoo, MM Mrugala, RC Rockne, C Brown, Swanson KR. Discrimination of Response to CAR T-Cell Therapy Using a Novel Response Metric Incorporating Tumor Growth Kinetics in Recurrent GBM Patients. 2018 Annual Meeting of the American Association for Cancer Research. San Diego, CA

Swanson KR, N Gaw, A Hawkins-Daarud, PR Jackson, KW Singleton, L DeGirolamo, J Eschbacher, L Baxter, K Smith, P Nakaji, S McGee, K Clark-Swanson, B Bendok, A Dueck, T Wu, J Li, L Hu. Joining Forces: Combining Machine Learning and Mechanistic Models to Predict Tumor Cell Density for Glioblastoma Patients. Society for Mathematical Biology Annual Meeting 2018. Sydney, Australia

KW Singleton, G De Leon, SK Johnston, CR Rickertsen, KR Clark-Swanson, B Bendok, S Vora, M Mrugala, A Porter, Swanson KR. Discriminating response across treatments using the patient-specific model-derived days gained metric. 2018 Annual Meeting of the Society for Mathematical Biology, Sydney, Australia & the Japanese Society for Mathematical Biology.

SC Massey, J Urcuyo, A Hawkins-Daarud, PR Jackson, AC Tuma, BM Marin, S Gupta, T Burns, C Giannini, N Tran, L Hu, J Sarkaria, Swanson KR. Glioblastoma invasiveness may predict response to therapies with high or low blood brain barrier penetrability. Society for Mathematical Biology Annual Meeting 2018. Sydney, Australia & CSBC/PS-ON 2018 Annual Investigators Meeting, Bethesda, MD.

P Jackson, A Hawkins-Daarud, L DeGiralamo, CR Rickertsen, L Baxter, K Smith, P Nakaji, MM Mruglala, A Porter, B Bendok, L Hu, Swanson KR. Validating a mathematical model of brain tumour growth with the apparent diffusion coefficient. 2018 Annual Meeting of the Society for Mathematical Biology, Sydney, Australia & the Japanese Society for Mathematical Biology.

J Lorence, SC Massey, CR Rickertsen, G De Leon, E Carrasco, B Anderies, P Whitmire, AB Porter, MM Mrugala, BR Bendok, JB Rubin, Swanson KR. Female glioblastoma patients receiving standard of care survive longer. Young Investigators Research Symposium, ASU Tempe, AZ & Annual National American Medical Student Association.

P Whitmire, C Rickertsen, A Hawkins-Darrud, E Carrasco Jr., J Lorence, G De Leon, L Curtin, S Bayless, K Clark-Swanson, NC Peeri, C Corpuz, CP Lewis-de Los Angeles, BR Bendok, L Gonzalez-Cuyar, S Vora, M Mrugala, LS Hu, L Wang, A Porter, P Kumthekar, SK Johnston, KM Egan, R Gatenby, P Canoll, JB Rubin, Swanson KR. Sex differences in extreme survivorship among primary glioblastoma patients. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

SK Johnston, S Bayless, MM Mrugala, J Rubin, P Canoll, Swanson KR. Characteristics of giant cell morphology in long-term survivors of glioblastoma: consideration of sex differences. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

J Lorence, SC Massey, SK Johnston, S Ranjbar, P Whitmire, CR Rickertsen, G De Leon, B Anderies, H White, KW Singleton, LS Hu, R Mitchell, AB Porter, MM Mrugala, BR Bendok, JB Rubin, Swanson KR. Impact of sex differences and tumor location on survival outcomes in glioblastoma patients. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

LS Hu, N Gaw, H Yoon, J Eschbacher, LC Baxter, KA Smith, P Nakaji, JP Karis, P Whitmire, A Hawkins-Daarud, KW Singleton, PR Jackson, SC Massey, BR Bendok, JR Mitchell, T Wu, NL Tran, JB Rubin, Swanson KR, J Li. Radiogenomics on Venus and Mars: Impact of sex-differences on MRI and genetic correlations in Glioblastoma. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

PR Jackson, S Ranjbar, EC Randall, M Regan, WM Abdelmoula, BGC Lopez, SC Massey, LS Hu, L He, SI Macura, JN Agar, JN Sarkaria, NYR Agar, Swanson KR. Localization of erlotinib relative to MRI-based tumor extent in PDX glioblastoma model: Towards a mathematical model for the interface between MRI and drug distribution. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

A Khurana, S Ranjbar, SK Johnston, P Whitmire, A Sharma, Swanson KR. Utilizing machine learning for predictive modeling of seizure presentation in glioma patients. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

S Ranjbar, B Anderies, KW Singleton, SK Johnston, CR Rickertsen, A Sharma, A Porter, M Mrugala, LS Hu, JR Mitchell, JB Rubin, Swanson KR. Sex-specific brain maps for risk of seizure among glioma patients. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

KW Singleton, D Kirby, SK Johnston, CR Rickertsen, G De Leon, SA Whitmire, KR Clark-Swanson, Y Morris, BR Bendok, MM Mrugala, A Porter, Swanson KR. Deep learning detects differences in the MRIs of male and female gliomas. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

Hawkins-Daarud, SK Johnston, Swanson KR. Quantifying uncertainty and robustness in a biomathematical model based patient-specific response metric for Glioblastoma. J. Clinical Oncology Clinical Cancer Informatics. 2018

L Curtin, A Hawkins-Daarud, A Porter, J Jacobs, M Owen, K Van Der Zee, Swanson KR. Modelling brain tumour recurrence patterns following surgical resection with ischemia. 2018 Annual Meeting of the Society for Mathematical Biology & the Japanese Society for Mathematical Biology

J Ross Mitchell, K Kamnitsas, KW Singleton, SA Whitmire, KR Clark-Swanson, CR Rickertsen, B Glocker, L Hu, Swanson KR. Deep learning for accurate, rapid, fully automatic measurement of brain tumor-associated abnormality seen on MRI. 2018 Annual Meeting of the Society for Mathematical Biology

SC Massey, BM Marin, A Hawkins-Daarud, L Paulson, L Kasle, Y Lassiter Morris, PR Jackson, AC Mladek, J Sarkaria, Swanson KR. Imaging based invasion metric predictive of response to a ABT414 in orthopedic EGFRviii amplified patient derived xenografts. 2018 Annual Meeting of the Society for Mathematical Biology

KW Singleton, D Kirby, SK Johnston, CR Rickertsen, G De Leon, SA Whitmire, KR Clark-Swanson, Y Morris, B Bendok, MM Mrugala, A Porter, Swanson KR. Kinetics-based response metric discriminate improved outcomes for patients receiving bevacizumab-based therapies. 23rd Annual Scientific Meeting and Education day of the Society for Neuro-Oncology 2018. New Orleans, LA.

2017

J Sarkaria, L Hu, I Parney, D Pafundi, D Brinkmann, N Laack, C Giannini, T Burns, S Kizilbash, J Laramy, K Swanson, T Kaufmann, P Brown, N Agar, E Galanis, J Buckner, W Elmquist. Is the Blood-Brain Barrier Really Disrupted in all Glioblastomas? – A Critical Assessment of Existing Clinical Data. 2017 Annual Meeting of the Society of Neuro-Oncology, San Francisco, CA.

Vogelbaum M, Swanson K, Zhang P, Cahill D, Hawkins-Daarud A, Gilbert M, De Leon G, Rickertsen C, Kunkel L, Shi W, Penas-Prado M, Youssef E, Shu H, Wendland M, Suh J, Keech J, Howard S, Kaluza V, Won M, Mehta M. “Impact of post-surgical enhancing tumor volume and T2/FLAIR volume on the survival impact of bevacizumab in NRG Oncology”/ RTOG 0825. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-77

Hu L, Yoon H, Eschbacher J, Baxter L, Smith K, Nakaji P, Mcgee S, Dueck A, Quarles C, Karis J, Hawkins-Daarud A, Jackson P, Massey S, Wu T, Swanson K, Li J. “Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-68

Swanson K, Gaw N, Hawkins-Daarud A, Jackson P, Singleton K, DeGirolamo L, Eschbacher J, Baxter L, Smith K, Nakaji P, McGee S, Clark-Swanson K, Bendok B, Dueck A, Wu T, Li J, Hu L. “Radiomics of tumor invasion 2.0: combining mechanistic tumor invasion models with machine learning models to accurately predict tumor invasion in human glioblastoma patients”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-74

PR Jackson, N Gaw, A Hawkins-Daarud, L DiGirolamo, L Baxter, K Smith, P Nakaji, S McGee, K Clark-Swanson, B Bendok, T Wu, L Hu, J Li, K Swanson: “P53 amplification modifies the glioblastoma microenvironment: Differentiating the contribution of cells vs edema in the T2 weighted MRI signal”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-99.

De Leon G, Johnston SK, Hawkins-Daarud A, Singleton KW, Jackson PR, Rickertsen C, Bayless S, Porter A, Mrugala M, Bendok B, Rodriguez A, Badie B, Sahoo P, Rockne RC, Brown C, Swanson KR. “Identifying Early Indicators of Immunotherapeutic Response: CAR T-Cell Therapy”. Society of Neuro-Oncology: San Francisco, CA. NIMG-11

Susan Christine Massey, Haylye White, Corbin Rayfield, Cassandra R. Rickertsen, Kamala Clark-Swanson, Scott A. Whitmire, Sandra K. Johnston, Alyx Porter, Maciej Mrugala, Bernard Bendok, Kristin R. Swanson. “Extent of glioblastoma invasion predicts overall survival following upfront radiotherapy concurrent with temozolomide”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. TMOD-38.

Singleton KW, Johnston SK, Hawkins-Daarud A, Rickertsen CR, De Leon G, Kunkel LR, Whitmire SA, Clark-Swanson K, Bendok B, Mrugala M, Porter A, Swanson KR. “Discrimination of clinically impactful treatment response in recurrent glioblastoma patients receiving bevacizumab treatment”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-93

Singleton KW, Johnston SK, Rickertsen CR, De Leon G, Kunkel LR, Rockhill J, Mrugala M, Bendok B, Patel N, Porter A, Swanson KR. “Role of pretreatment tumor dynamics and imaging response in discriminating glioblastoma survival following gamma knife”. In: 22nd Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2017; San Francisco, CA. NIMG-44

April A. Fleming, Jamie M. Chapman, Susan Christine Massey, Pamela R. Jackson, Shiv K. Gupta, Ann C. Tuma, Lihong He, Fang Jin, Aaron Johnson, Jann N. Sarkaria, Kristin R. Swanson. “Mathematical model of brain tumor growth facilitates tumor cell quantification from bioluminescence imaging”. 2017 Biomedical Engineering Society Annual Meeting Abstract Library.

Singleton KW, Grady F, Carrasco Jr. EL, Rickertsen CR, Morris Y, Clark-Swanson KR, Whitmire SA, Swanson KR. “Comparison Of Brain Tumor Segmentation Methods For Computing Volumetric and Radial Measurements”. 2017 Biomedical Engineering Society Annual Meeting

Singleton KW, Grady F, Carrasco Jr. EL, Rickertsen CR, Morris Y, Clark-Swanson KR, Whitmire SA, Swanson KR. “Comparison Of Brain Tumor Segmentation Methods For Computing Volumetric and Radial Measurements”. 2017 Biomedical Engineering Society Annual Meeting.

2016

L Hu, S Ning, J Eschbacher, L Baxter, N Gaw, S Ranjbar, J Plasencia, A Dueck, S Peng, K Smith, P Nakaji, J Karis, C Quarles, T Wu, J Loftus, R Jenkins, H Sicotte, T Kollmeyer, B O’Neill, W Elmquist, J Hoxworth, D Frakes, J Sarkaria, ,K Swanson, N Tran, J Li, R Mitchell. “Radiogenomics to Characterize Regional Genetic Heterogeneity in Glioblastoma”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. NIMG-05

S Johnston, S Ranjbar, A Hawkins-Daarud, R Rostomily, D Silbergeld, M Mrugala, J Chandler, P Kumthekar, B Bendok, R Mitchell, K Swanson. “Predictors of Seizure in Glioma at Initial Tumor Presentation”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. NCOG-02

S Taylor, C Rayfield, A Kim, M Broward, A Roy, S Weir, K Swanson, J Rubin. “Significant Sex Differences in Temozolomide Efficacy in Glioblastoma (GBM) Are Detectable in Cell and Patient Based Evaluations”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. DRES-07

PR Jackson, A Hawkins-Daarud, J Jacobs, H Malone, T Ung, J Kim, O Stringfield, L DiGirolamo, E Benbassat, A Rosenberg, J Crisman, R Gatenby, S Partridge, P Canoll, K Swanson: “Presence of high ADC (low cellularity) tumor regions increases with diffuse appearance of GBMs on routine MRI”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. NIMG-28

R Mitchell, W Xue, K Swanson. “Accurate 3D GBM Segmentation in 30 Seconds”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. NIMG-73

J Jacobs, S Capek, R Spinner, K Swanson. “Mathematically Modeling Perineural Spread Along Peripheral Nerves”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. TMOD-32

SC Massey, P Canoll,KR Swanson. “Biomathematical model of proneural tumors suggests PDGF inhibitors should be given earlier in disease course”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. TMOD-16

L Curtin, A Hawkins-Daarud, A Porter, J Jacobs, M Owen, K van der Zee, R Aoun, B Bendok and KR Swanson: “Simulating Patterns of Recurrence Following Ischemia in Brain Tumors”. In: 21st Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology; 2016; Phoenix, AZ. TMOD-13

Hawkins-Daarud, A., DeGirolamo, L., Jacobs, J., Clark-Swanson, K., Eschbacher, J.M., Smith, K., Nakaji, P., Baxter, L.C., Karis, J.P., Mitchell, J.R., Li, J., Wu, T., Hu, L., and Swanson, K.R. “Histological evidence for a bio-mathematical model of glioblastoma invasion”. AACR/PSOC Joint conference in Engineering and Physical Sciences in Oncology, Boston, June 2016

PR Jackson, A Hawkins-Daarud, J Jacobs, T Ung, H Malone, J Kim, O Stringfield, L DiGirolamo, E Benbassat, A Rosenberg, J Crisman, R Gatenby, S Partridge, P Canoll, K Swanson: “Glioblastoma Growth and Invasion Kinetics Correlate with ADC metrics”. In: ISMRM 23rd Scientific Meeting and Exhibition; 2016; Singapore. 2654.

Rayfield C., Rockne R., Swanson K. “Growth rate reveal changes in phenotype resulting from chemoradiation in recurrent glioblastoma”. Poster Presentation at Organization for Human Brain Mapping, June 2016; Geneva, Switzerland.

Rayfield C., Grady F., Jackson P., Bendok B., Vora S., Swanson K. “Clustering of Patients with GBM on Treatment Response Reveals Underlying Phenotypic Differences”. Poster Presentation at Mayo Clinic Young Investigators Symposium, March 19th 2016; Rochester, MN.

Rayfield C., Grady F., Jackson P., Bendok B., Vora S., Swanson K. “Clustering of Patients with GBM on Treatment Response Reveals Underlying Phenotypic Differences”. Poster Presentation at ASTRO National Meeting, 2016.

2015

F Grady, P Jackson, J Jacobs, C Bridge, E Kokkinos, A Rosenberg, M Lester, P Kumthekar, K Swanson: “Differing MRI Edema Profiles of Brain Metastases”. In: ASNR 53rd Annual Meeting; 2015; Chicago, IL, USA. 1508.

A. Hawkins-Daarud, H.R. Malone, T. Ung, A. Rosenberg, J. Jacobs, J. Bruce, P. Cannoll, K.R. Swanson. “CORRELATING A PATIENT-SPECIFIC MATHEMATICAL MODEL OF GLIOBLASTOMA PROLIFERATION-INVASION WITH IMAGE-GUIDED BIOPSIES”. In: SNO Annual Meeting 2015, Neuro-Oncology 17(suppl 5):v161-v161.

C. Rayfield, S. Johnston, S. Whitmire, L. Guyman, K. Swanson. “Treatment response kinetics and Exceptional survival in glioblastoma”. Annual Meeting of the Society for Neuro-Oncology, 2015 (San Antonio, TX)

2014

V Gondi, B. M. Desai, R. Rockne,, A. Rademaker, K. R. Swanson. “Outcomes following large volume re-irradiation using proton therapy for recurrent malignant glioma” Particle Therapy Oncology Group North America (PTCOG-NA), Oct 27-29, 2014 (Houston, TX)

B. M. Desai, R. C. Rockne, A. W. Rademaker, W. F. Hartsell, P. Sweeney, J. J. Raizer, N. Paleologos, R. Merrell, S. Grimm, S. Azeem, D. Corwin, K. R. Swanson, V. Gondi. “Overall survival (OS) and toxicity outcomes following large-volume re-irradiation using proton therapy
(PT) for recurrent glioma”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

J. Juliano, O. Gil, A. Hawkins-Daarud, R. C. Rockne, J. Gallaher, S. Massey, A. R. A. Anderson, P. Canoll*, K. R. Swanson*. “Dynamic Evidence of Tumor Induced Microglia Activation at the Infiltrative Margins of Glioma”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

R. Rockne, D. Corwin, B. Desai, A. Hawkins-Daarud, K. R. Swanson. “Conducting virtual clinical trials to evaluate hypofractionated radiotherapy for newly diagnosed glioblastoma”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

J. Jacobs, A. J. Hawkins-Daruud, S. K. Johnston, R. C. Rockne, K. R. Swanson. “Improved Anatomical Model Prediction of Glioma Growth Utilizing Tissue-Specific Boundary Effects”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

A. Hawkins-Daarud, R. Rockne, K. R. Swanson. “In Silico Analysis of AVAglio and RTOG 0825 Phase III Clinical Trials Suggests Signatures of Patients to Receive Benefit from Combined Bevacizumab and Radiation Therapies” Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

J. Juliano, R. C. Rockne, A. J. Hawkins-Daarud, P. Jackson, S. K. Johnston, J. Jacobs, E. Kokkinos, A. Rosenberg, J. Crisman, C. Peters, D. Sharfman, M. Sondag, S. Badhe, M. Lester, T. Gallagher, P. Kumthekar, K. R. Swanson. “Growth Kinetics of Contrast Enhancing Gliomas Associate Invasive Growth with Seizure Presentation”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL) – Platform Presentation

B .Desai, R. Rockne, C. Bridge, D. Corwin, I. Helenowski, E. Kokkinos, C. Peters, A. Rosenberg, D. Scharfman, V. Gondi, K. R. Swanson. “Application of a growth-rate based response metric to recurrent malignant gliomas treated with large-volume re-irradiation using proton beam therapy”. Annual Meeting of the Society for Neuro-Oncology, 2014 (Miami, FL)

K. R. Swanson. “Engineering a Parallel Universe: Simulating Patient-Specific Virtual Controls to Predict and Optimize Cancer Therapy”. IEEE Engineering in Medicine and Biology Society, Chicago, IL, August 26-30, 2014 – Invited Minisymposium Speaker

PR Jackson, A Hawkins-Daarud, R Rockne, A. Anderson, K. R. Swanson. “Connecting MRI Physics to Glioma Microenvironment: Exploring Modeling Schemes for Capturing Expanding Extracellular Space and its Impact on a Simulated T2-weighted MRI”. In: 5th Annual PS-OCs Network Investigators’ Meeting; 2014; Bethesda, MD, USA

R. C. Rockne, I. Bacchus, C. Bridge, P. D. Brown. D. Corwin, B. Desair, K. Hendrickson, M. Kim, E. Kokkinos, M. P. Mehta, M. Marymont, J. K. Rockhill, A. Rosenberg, A. D. Trister, C. K. Williams, R. Williamson, L. Young, K. R. Swanson. “An Evaluation of Multi-Institutional Data-Transfer to Facilitate Personalized Computational Modeling”. American Society for Theoretical and Radiation Oncology (ASTRO) 56th Annual Meeting. San Francisco, CA September 14-16, 2014

A. Hawkins-Daarud, K. R. Swanson. “Quantifying Changes in Glioma Biology with Treatment using Modeling of Edema Formation and Clinical Imaging”, European Conference on Mathematical and Theoretical Biology, Gothenburg, Sweden, June 2014 – Invited Minisymposium

K. R. Swanson. “Mathematical Neuro-Oncology: Translating Patient-Specific Mathematical Modeling of Brain Tumors to Clinical Care”, European Conference on Mathematical and Theoretical Biology, Gothenburg, Sweden, June 2014 – Invited Minisymposium

R. Rockne, D. Corwin, K. R. Swanson. “A Data-Driven Calibration of a Nonlinear Mechanistic Model for DNA Damage and Repair: Applications to Radiosurgery and Heavy Ion Irradiation Treatment for Glioblastoma”. European Conference on Mathematical and Theoretical Biology, Gothenburg, Sweden, June 2014 – Invited Minisymposium

J. E. Adair, M. Mrugala, B. E. Storer, S. K. Johnston, K. R. Swanson, H-P Kiem. “MGMT(P140K) Hematopoietic Stem Cell Gene Therapy Enhances Tolerance and Efficacy of Temozolomide in Combination with O6-benzylguaninein Glioblastom Patients”. Annual Meeting of American Society of Gene and Cell Therapy, 2014 *Platform Presentation

2013

A. L. Baldock, K. Yagle, S. Ahn, D. Born, P. Swanson, R. Rockne, K. R. Swanson. “Mathematical Model Predicts IDH-1 Mutation and Malignant Progression in Contrast-Enhancing Gliomas. Ninth AACR-Japanese Cancer Association Joint Conference: Breakthroughs in Basic and Translational Cancer Research”, 21-26 February, 2013 (Maui, Hawaii)

R. Rockne, A. D. Trister, M. Neal, K. Hendrickson, M. M. Mrugala, J. K. Rockhill, K. A. Krohn, K. R. Swanson. “Quantifying Hypoxia-Modulated Radiation-Resistance in Human Glioblastomas In Vivo“. Ninth AACR-Japanese Cancer Association Joint Conference: Breakthroughs in Basic and Translational Cancer Research, 21-26 February, 2013 (Maui, Hawaii)

D. Corwin, C. Holdsworth, R. D. Stewart, R. Rockne, K. R. Swanson.. “A patient-specific, mathematical approach to optimizing IMRT dose plans for glioblastoma”. Feinberg School of Medicine Research Day, April 2013 (Chicago, IL)

J. E. Adair, B. C. Beard, S. K. Johnston, M. Mrugala, R. C. Rockne, K. R. Swanson, H-P. Kiem. “Improved chemotherapy efficacy after MGMT(P140K) hematopoietic stem cell gene therapy in poor-prognosis glioblastoma revealed by patient-specific mathematical modeling”. American Society of Gene and Cell Therapy, 15-18 May 2013 (Salt Lake City, UT) – Oral Presentation

D. Corwin, C. Holdsworth, R. Rockne, R. D. Stewart, M. Phillips, K. R. Swanson. “Optimizing radiotherapy for Glioblastoma using a patient-specific mathematical model”. Annual meeting of the American Association of Physicists in Medicine (AAPM), August 2013 (Indianapolis, IN)

D. Corwin, C. Holdsworth, R. D. Stewart, A. Hawkins-Daarud, M. Phillips, R. Rockne, K. R. Swanson. “A patient-specific model for IMRT optimization is robust to uncertainty in data collection and radiobiological parameters”. Annual Meeting of the Radiation Research Society (RRS), September 2013 (New Orleans, LA)

D. Corwin, C. Holdsworth, R. Rockne, M. Phillips, K. R. Swanson. “Combining mathematics, biology and physics to generate patient-specific, biologically optimized IMRT plans for glioblastoma”. Horizons 2013 Joint AAPM-PSOC Annual Meeting, November 2013 (Bethesda, MD)

S. K. Johnston, J. E. Adair, C A. Bridge, L. Guyman, A. Hawkins-Daarud, R. C. Rockne, A. Baldock, J. K. Rockhill, M. M. Mrugala, B. C. Beard, H.-Pr. Kiem, K. R. Swanson “Patient-specific mathematical modeling as a precision-medicine approach to evaluating therapeutic gains of a novel chemoprotection treatment in newly-diagnosed glioblastoma”. Abstract #111972, American Society for Clinical Oncology (ASCO), 2013 (Chicago, IL)

A. L. Baldock, R. C. Rockne, S. Ahn, M. Neal, D. Corwin, K. Clark-Swanson, G. Sterin, A. D. Trister, H. Malone, A. Sonabend, M. M. Mrugala, J. K. Rockhill, D. L. Silbergeld, A. Lai, T. F. Cloughesy, G. McKhann, J. N. Bruce, R. Rostomily, P. Canoll, K. R. Swanson. “Patient-specific biomathematical model predicts benefit of resection in human gliomas”. Abstract #116930, American Society for Clinical Oncology (ASCO), 2013 (Chicago, IL)

D. Corwin, R. C. Rockne, M. M. Mrugala, J. K. Rockhill, K. R. Swanson. “Training and validation cohort analysis for predicting radiation therapy response in human glioblastoma”. Abstract #117018, American Society for Clinical Oncology (ASCO), 2013 (Chicago, IL)

A. Hawkins-Daarud, R. C. Rockne, P. Kinahan, M. Muzi, A. Alessio, K. A. Krohn, K. R. Swanson. “Quantifying the impact of anti-angiogenic therapy on hypoxia and implications for radiation therapy in glioblastoma multiforme with a biomathematical model”. Abstract #118015, , American Society for Clinical Oncology (ASCO), 2013 (Chicago, IL)

PR Jackson, A Hawkins-Daarud, R Rockne, R Gatenby, R Gillies, A Anderson, KR Swanson: “Connecting MR Physics to Glioma Microenvironment: Simulating T2 MR signal intensity based on model predicted tumor associated vasogenic edema” In: 4th Annual PS-OCs Network Investigators’ Meeting; 2013; Scottsdale, AZ, USA.

PR Jackson, A Hawkins-Daarud, R Rockne, R Gatenby, R Gillies, A Anderson, KR Swanson: :Connecting MR Physics to Glioma Microenvironment: Simulating T2 MR signal intensity based on model predicted tumor associated vasogenic edema” In: Feinberg School of Medicine Research Day; 2013; Chicago, IL, USA.

A. Baldock, K. Yagle, S. Ahn, D. Born, P. Swanson, R. Rockne, K. R. Swanson. “Invasion and Proliferation Kinetics Predict IDH-1 Mutation in Contrast-Enhancing Gliomas” ,Feinberg School of Medicine Research Day, April 2013.

A. Baldock, S. Anh, R. Rockne, M. Neal, D. Corwin, K. Clark-Swanson, G. Sterin, A. D. Trister, H. Malone, V. Ebiana, A. M. Sonabend, M. Mrugala, J. K. Rockhill, D. L. Silbergeld, A. Lai, T. Cloughesy, G. M. McKhann, J. N. Bruce, R. Rostomily, P. Canoll, K. R Swanson. “Patient-Specific Biomathematical Model Predicts Benefit of Resection in Human Gliomas”, Feinberg School of Medicine Research Day, April 2013.

P. Kumthekar, C. A. Bridge, V. Patel, A. Rademaker, I. Helenowski, M. M. Mrugala, J. K. Rockhill, S. Grimm, K. R. Swanson, J. Raizer. A “Retrospective Study of Outcomes in Older Patients with Low-grade Gliomas”. Annual Meeting of the Society for Neuro-Oncology, 2013 (San Francisco, CA)

R. Rockne, A. Hawkins-Daarud, J. Jacobs, C. Bridge, M. M. Mrugala, J. K. Rockhill, K. R. Swanson. “Why aren’t all medial gliomas bilateral?” Annual Meeting of the Society for Neuro-Oncology, 2013 (San Francisco, CA)

C. A. Bridge, A. L. Baldock, P. Kumthekar, P. Dilfer, S. K. Johnston, J. Jacobs, D.Corwin, L. Guyman, R. Rockne, A. Sonabend, M. Cloney, P. Canoll, K. R. Swanson. “Characteristics of Long-term Survivors in Glioblastoma”. Annual Meeting of the Society for Neuro-Oncology, 2013 (San Francisco, CA)

A. Hawkins-Daarud, P. Jackson, K. R. Swanson. “Elucidating Glioblastoma Regional Edema and Hypoxia Changes Induced by Anti-angiogenic Treatment through Mathematical Modeling Combined with Clinical Imaging”. Annual Meeting of the Society for Neuro-Oncology, 2013 (San Francisco, CA)

2012

A. Hawkins-Daarud, R. Rockne, M. Muzi, S. Partridge, P. E. Kinahan, K. R. Swanson. “Patient-Specific Untreated Virtual Imaging Controls for [18F]-FMISO PET imaging of Glioblastoma”, University of Washington Medical Center, Seattle, WA. 2012 Annual Meeting of the Society for Nuclear Medicine (SNM)

R. Rockne, A. Hawkins-Daarud, M. Muzi, S. Partridge, P. E. Kinahan, K. R. Swanson. “Predictive Simulation of MRI and FMISO-PET Imaging Changes During Anti-Angiogenic Therapy for Glioblastomas”, University of Washington Medical Center, Seattle, WA. 2012 Annual Meeting of the Society for Nuclear Medicine (SNM)

P. E. Kinahan R. Rockne, A. Hawkins-Daarud, M. Muzi, S. Partridge, K. R. Swanson. “Integrating models of cancer biology with advanced PET and MR imaging methods to assess response to therapy”. IEEE International Symposium on Biomedical Imaging 2012 (Barcelona, Spain)

A. D. Trister, M. L. Neal, T. Cloke, A. L. Baldock, S. Ahn, M. M. Mrugala, J. K. Rockhill, R. Rockne, K. R. Swanson. “A Novel Metric Of Patient-specific Response To Treatment For Glioblastoma Discriminates Patients With Pseudo-progression”. American Society for Radiation Oncology (ASTRO) (Boston, MA)

S. K. Johnston, C. A. Bridge, R. Rockne, L. Guyman, A. Baldock, J. K. Rockhill, M. Mrugala, S. Adair, H-PP. Kiem, K. R Swanson. “Enabling the Detection of Treatment Benefit in Novel Therapeutic Studies through Patient-Specific Mathematical Modeling:  Analysis of Chemoprotective Hematopoietic Stem Cell Gene Therapy in Human Glioblastomas”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

M. L. Neal, A. D. Trister, S. Ahn, C. Bridge, J. Lange, A. Baldock, R. Rockne, M. Mrugala, J. K. Rockhill, A. Lai, T. Cloughesy, K. R. Swanson. “A Response Metric Based on a Minimal Model of Glioblastoma Growth is Prognostic for Time to Progression and Overall Survival”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. Baldock, S. Ahn, R. Rockne, M. Neal, D. Corwin, K. Clark-Swanson, G. Sterin, A. D. Trister, H. Malone, V. Ebiana, A. M. Sonabend, M. Mrugala, J. K. Rockhill, D. L. Silbergeld, A. Lai, T. Cloughesy, G. M. McKhann, J. N. Bruce, R. Rostomily, P. Canoll, K. R. Swanson. “Patient-specific invasiveness metric predicts benefit of resection in human gliomas”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. Hawkins-Daarud, R. Rockne, K. R. Swanson. “Interpreting Intensity Modulation on T2/FLAIR Imaging of Gliomas: Deconvolving MR imaging changes from treatment effect through mathematical modeling”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. Hawkins-Daarud, A. Baldock, C. Bridge, D. Corwin, J. Rockhill, M. Mrugala, R. Rockne, K. R. Swanson. “Revealing the diffuse extent of gliomas to enable surgical and radiotherapy treatment design:Insights from a Patient-Specific Mathematical Model and an Untreated Glioblastoma”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. L. Baldock, K. Yagle. S. Ahn, D. Born, P. Swanson, R. Rockne, K. R. Swanson. “Invasion and Proliferation Kinetics Predict IDH-1 Mutation in Contrast-Enhancing Gliomas”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC) *Platform Presentation

D. M. Corwin, C. Holdsworth, R. D. Stewart, R. Rockne, K. R. Swanson. “Virtual clinical trials: Implications for spatially optimizing radiotherapy using a paitient-specific model of glioma”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

D. M. Corwin, C. Holdsworth, R. D. Stewart, R. Rockne, K. R. Swanson. “Reducing dose to normal tissue while improving tumor control in human glioblastomas using a patient-specific mathematical and radiotherapy optimization algorithm”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. Trister, B. Bot,  K. Fontes, C. Bridge, J. K. Rockhill, M. Mrugala, R. Rockne, E. Huang, K. R. Swanson. “A novel patient-specific model of glioma growth kinetics elucidates underlying biology as measured by gene expression microarray”. Annual Meeting of the Society for Neuro-Oncology, 2012 (Washington, DC)

A. Trister, B. Bot, A. Hawkins-Daarud, K. Fontes, C. Bridge, J. K. Rockhill, M. Mrugala, R. Rockne, E. Huang, K. R. Swanson. “A novel patient-specific model of glioma growth kinetics elucidates underlying biology as measured by gene expression microarray”. Markers in Cancer, October 11-13, 2012 (Hollywood, FL) *Awarded 2012 Conquer Cancer Foundation of ASCO Merit Award

D. Corwin. C. Holdsworth, R. D. Stewart, M. Philips, R. Rockne, K. R. Swanson. “Using patient-specific IMRT optimization and a mathematical model of glioma to improve tumor control and reduce normal tissue complications”. Annual Meeting of the Radiation Research Society September 30 – October 4 , 2012 (Puerto Rico)

R. Rockne, M. Mrugala, J. K. Rockhill, K. R. Swanson. “Patient-specific mathematical radiation oncology”. Annual Meeting of the Radiation Research Society September 30 – October 4 , 2012 (Puerto Rico)

2011

J. Parker, K. Dionne, R. Massarwa, M. Klassen, L. Niswander, K. R. Swanson, P. Canoll, BK Kleinschmidt-DeMasters, A. Waziri. “Ex Vivo Evaluation of Tumor Cell Migratory Characteristics in a Human Glioblastoma Slice Culture Model”. Annual Meeting of the Society for Neuro-Oncology, 2011

E. C. Alvord, Jr, Russell Rockne, J. K. Rockhill, M. M. Mrugala, R. Rostomily, A. Lai, T. Cloughesy, J. M. Wardlaw, A. M. Spence, K. R. Swanson. “Know thy enemy: Paradoxes to be exploited in glioblastoma”. Annual Meeting of the Society for Neuro-Oncology, 2011

R. Rockne, A. R. A. Anderson, K. R. Swanson. “Predictive integration of tumor growth kinetics on clinical imaging with histological features through patient-specific simulation”. Annual Meeting of the Society for Neuro-Oncology, 2011

D. Corwin, C. Holdsworth, R.D. Stewart, R. Rockne, K. R. Swanson. “Patient-Specific Mathematical Radiation Oncology: 4D Optimized Dose Distributions Informed by Glioma Kinetics of Proliferation and Invasion”. Annual Meeting of the Society for Neuro-Oncology, 2011

A. Baldock, R. Rockne, P. Canoll, D. Born, K. Yagle, K. R. Swanson. “Cystic Gliomas are Quantitatively Less Biologically Aggressive”. Annual Meeting of the Society for Neuro-Oncology, 2011

M. L. Neal, R. Rockne, A.D. Trister, K. R. Swanson. “Predicting outcomes following therapy for glioblastoma using response metrics from patient-specific, 3D tumor models”. Annual Meeting of the Society for Neuro-Oncology, 2011 Neuro-Oncology. 2011;13(suppl 3):iii76-iii84.

R. Rockne, K. Champley, A. Alessio, M. Muzi, K. A. Krohn, P. E. Kinahan, K. R. Swanson. “Patient-specific simulations allow prediction of hypoxia and [18F]FMISO-PET in human glioblastoma”, University of Washington Medical Center, Seattle, WA. *Awarded Best Abstract for 2011 Western Regional Society for Nuclear Medicine Annual Meeting

2010

A. E. Boone, R. Rockne, M. M. Mrugala, K. R. Swanson. “Pre-treatment glioblastoma proliferation and invasion kinetics: A mechanism to predict pseudo progression”. Society for Neuro-Oncology, 2010., Neuro-Oncology, 12(Supp 4):118, 2010

K. R. Swanson, S. Gu, G. Chakraborty, K. Champley, A. Alessio, J. Claridge, R. Rockne, M. Muzi, K. A.
Krohn, A. M. Spence, E. C. Alvord, Jr, A. R. A Anderson, P. Kinahan. “In Silico PET Imaging: From anatomic glioma growth dynamics to metabolic tumor activity via bio-mathematical modeling”. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):118, 2010

R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. “Predicting spatial patterns of tumor recurrence following radiation therapy: a hybrid clinical imaging and mathematical modeling approach”. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):111, 2010

S. Massey, R. Rockne, P. Canoll, K. R. Swanson. “In silico glioma model reveals that environmentally targeted therapies may be more effective at altering disease kinetics”. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):25, 2010

S. Ivkovic, C. Beadle, S. C. Massey, K. R. Swanson, P. Canoll, S. S. Rosenfeld. “Direct inhibition of non-muscle myosin II effectively blocks glioma invasion in the presence of multiple motogens”. Neuro-Oncology, 12(Supp 4):4, 2010

K. R. Swanson, A. E. Boone, R. Rockne, M. M. Mrugala. “Predicting pseudoprogression in glioblastoma patients: A mathematical and clinical perspective”. European Society of Mathematical and Theoretical Biology

R. Rockne, S. Massey, M. Mrugala, A. R. A. Anderson, K. R. Swanson. “Response to anti-angiogenic therapy in human brain tumors: the role of the microenvironment and heterogeneity”. European Society of Mathematical and Theoretical Biology

K. R. Swanson, S. Gu, G. Chakraborty, K. Champley, A. Alessio, R. Rockne, M. Muzi, K. A. Krohn, P. Kinahan. “Predictive simulation of patient-specific [18F]FMISO-PET: Integrating imaging with predictive mathematical models of the tumor microenvironment”. Annual Meeting of the Society for Nuclear Medicine – Platform Presentation

C. H. Holdsworth, D. Corwin, R. D. Stewart, R. Rockne, K. R. Swanson, M. Phillips. “Biologically Optimized 4D Dose Distributions for the Treatment of Incurable Glioblastoma”. Annual Meeting of American Association of Physicists in Medicine

R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. “Patient-specific virtual radiation oncology: predicting and quantifying treatment response in individual glioblastoma patients”. Annual Meeting of American Association of Physicists in Medicine

R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. “Patient-specific virtual radiation oncology: novel metrics of response provide a means to stratify patients within a single RTOG RPA class” Annual Meeting of the American Association of Cancer Research

K. R. Swanson, R. Rockne, C. H. Holdsworth, D. Corwin, R. D. Stewart, M. H. Phillips. “Improving Treatment Response by Designing Patient-Specific Optimized Radiation Therapy Dose Distributions Informed by Glioma Proliferation and Invasion Kinetics: A Case Study”. Annual Meeting of the Radiological Society of North America

2009

K. R. Swanson, R. Rockne, J. K. Rockhill, M. Mrugala, E. C. Alvord, Jr. “Patient-specific virtual controls can be used to simulate and predict response to radiation therapy in individual glioblastoma patients”. World Federation of Neuro-Oncology, Yokohama, Japan, 2009 – Hoshino Award Finalist

K. R. Swanson, R. Rockne, J. K. Rockhill, M. Mrugala, E. C. Alvord, Jr. “Prognostic significance of growth kinetics in newly diagnosed gioblasoma: A role for patient-specific virtual controls”. World Federation of Neuro-Oncology, Yokohama, Japan, 2009

K. R. Swanson. “Bridging from Anatomic Imaging to Molecular Imaging through Multi-scale Models for Brain Tumor Growth and Invasion”. Society for Mathematical Biology Annual Meeting, Vancouver, Canada, 2009

K. R. Swanson. “Predictive Modeling of Brain Tumor Growth and Invasion: Optimizing Treatment in Individual Patients”. Society for Mathematical Biology Annual Meeting, Vancouver, Canada, 2009

G. Chakraborty, S. Gu, R. Rockne, K. R. Swanson. “Predicting metabolic growth patterns from patient-specific anatomic imaging and mathematical modeling of glioblastomas”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

S. Massey, P. Canoll, K. R. Swanson. “Paracrine PDGF signaling and progression in experimental gliomas”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

R. Rockne, K.R. Swanson. “The role of delay and observation timing in assessing glioma response to radiation therapy”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

S. Gu, G. Chakraborty, R. Rockne, K.R. Swanson. “Spatiotemporal Pharmacokinetic/Pharmacodynamic Radioactive Tracer and Brain Tumor Modeling: A Method for Generating Patient-specific Simulated PET Images”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

A. Boone, R. Rockne, M.M. Mrugala, J.K. Rockhill, E.C. Alvord Jr, K.R. Swanson. “The Clinical Significance of Mathematical Models in the Treatment and Management of Gliomas: A Case Study in Translating Applied Mathematics Research into Clinically Relevant Solutions”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

M. Szeto, R. Rockne, K.R. Swanson. “Anatomic Variation in Quantitative Measures of Glioma Aggressiveness”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

M. Simon, R. Rockne, K.R. Swanson. “A comparison between volumetric and localized spatial analysis techniques for assessing model parameters”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

R. Sodt, R. Rockne, K.R. Swanson, I. Kalet. “Simulation of Anisotropic Growth of Gliomas Using Diffusion Tensor Imaging”. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.

A. E. Boone, R. Rockne, M. M. Mrugala, J. K. Rockhill, E. C. Alvord, Jr, K. R. Swanson. “Opportunities for Personalized Treatment and Management of Malignant Gliomas: The Clinical Significance of Mathematical Models”. Society for Neuro-Oncology, New Orleans, LA 2009; Neuro-Oncology 11(5):648, 2009

S. C. Massey, P. Canoll, K. R. Swanson. “Modeling the effects of progenitor cell recruitment on glioma growth and progression”. Society for Neuro-Oncology, New Orleans, LA 2009,Neuro-Oncology 11(5):574, 2009

2008

E. C. Alvord, Jr, J. Claridge, A. R. A. Anderson, K. R. Swanson. “Cell Kinetics Underlying Grading of Gliomas”. American Association of Neuropathologists Annual Meeting, San Diego, 2008

C. Wang, D. L. Peacock, J. K. Rockhill, M. Mrugala, A. M. Spence, E. C. Alvord, Jr., K. R. Swanson. “Prognostic Significance of Growth Kinetics in Glioblastoma Patients: Insights from a Novel Mathematical Modeling Approach”. Society for Neuro-Oncology, Lake Las Vegas, 2008 – Neuro-Oncology 10(5): 759, 2008

R. Rockne, K. R. Swanson. “Predicting efficacy of radiotherapy in individual glioma patients in vivo: a pilot study”. European Society for Mathematical and Theoretical Biology Annual Meeting, Edinburgh, 2008

R. Rockne, J. L. Moore, K. R. Swanson. “Three-dimensional simulation of glioma growth and response to radiation therapy: a case study”. Society for Mathematical Biology Annual Meeting, Toronto, Canada, 2008

S. Massey, P. Canoll, K. R. Swanson. “Parameter sensitivity investigation of a mathematical model of glioma tumorigenesis mediated by platelet-derived growth factor”. Society for Mathematical Biology Annual Meeting, Toronto, Canada, 2008

2007

K. R. Swanson, R. Rockne, J. K. Rockhill, E. C. Alvord Jr. “Mathematical modeling of radiotherapy in individual glioma patients: quantifying and predicting response to radiation therapy”. AACR Annual Meeting, 2007

K. R. Swanson, G. Chakraborty, R. Rockne, C. Wang, D. L. Peacock, M. Muzi, E. C. Alvord Jr., K. Krohn, A. M. Spence. “A Mathematical Model for Glioma Growth and Invasion Links Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET”. 53nd Annual Meeting of the Society for Nuclear Medicine (Platform Presentation), June 2007 – J Nucl Med. 2007; 48 (Supplement 2):151P

A. M. Spence, M. Muzi, K. R. Swanson, J. K. Rockhill, J. G. Rajendran, T. Ch. Adamsen, J. M. Link, J. D. Scharnhorst, D. Silbergeld, R. Rostomily, K. A. Krohn: “Imaging Resistance from Hypoxia in Glioblastoma Multiforme (GM) with [F-18]-Fluromisonidazole (FMISO) PET before and after Radiotherapy(RT)”. 59th American Academy of Neurology Annual Meeting, 2007 –Neurology 68(12):A287 Suppl 1 Mar 20, 2007

K. R. Swanson, R. Rockne, J. K. Rockhill, E. C. Alvord Jr. “Combining mathematical modeling with serial MR imaging to quantify and predict response to radiation therapy in individual glioma patients”. Society for Neuro-Oncology Annual Meeting, 2007

L-E Bohman, C. Mandigo, T. Hankinson, M. Assanah, K. R. Swanson, P. Canoll, J. N. Bruce. “Preoperative MRI Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny”. Society for Neuro-Oncology Annual Meeting, 2007

2006

H. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. “In Silico Model Integrating the Angiogenic Cascade Accurately Simulates Low and High-Grade Human Gliomas”. AACR Annual Meeting, April 2006

K. R. Swanson, H. Harpold, G. Chakraborty, C. Wang, M. Muzi, A. M. Spence, K. A. Krohn. “Discordance of FMISO-PET and MRI Regions in Malignant Gliomas”. 52nd Annual Meeting of the Society for Nuclear Medicine, June 2006

A. M. Spence, M. Muzi, K. R. Swanson, J. K, Rockhill, J.G. Rajendran, T. C. Adamsen, D. L. Silbergeld, R. C. Rostomily, J. A. Scharnhorst, K. A. Krohn. “Hypoxia Assessed with [F-18]-Fluormisonidazole (FMISO) PET Before Radiotherapy (RT) in Malignant Glioma Patients”. 52nd Annual Meeting of the Society for Nuclear Medicine, June 2006

K. R. Swanson. “Mathematical Modeling in Clinical Oncology”, SIAM Conference on the Life Sciences, August 2006

H. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. “In Silico Model Integrating the Angiogenic Cascade Accurately Simulates Low and High-Grade Human Gliomas”. International Congress on Neuropathology, September 2006. Brain Pathology 16: S4-S4 007 Suppl. 1 SEP 2006

K. R. Swanson, E. C. Alvord Jr. “Quantifying the Behavior of Gliomas: Comparing Theoretical Predictions with Actual Patient Observations”. International Congress on Neuropathology, September 2006. Brain Pathology 16: S39-S39 085 Suppl. 1 SEP 2006

H. L. P. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. “Simulating low- and high-grade human gliomas: An in silico model integrating the angiogenic cascade”. Society for Neuro-Oncology, Neuro-Oncology 8 (4): 493-493 OCT 2006

A. M. Spence, M. Muzi, K. R. Swanson, J. K. Rockhill, J. G. Rajendran, T. Ch. Adamsen, J. M. Link, J. D. Scharnhorst, K. A. Krohn: “Hypoxia assessed in malignant gliomas with [F-18]-fluoromisonidazole (FMISO) PET before and after radiotherapy (RT)”. 18th EORTC-NCI-AACR Symposium on Molecular Targets and Cancer Therapeutics, Prague, Czech Republic, November 7-10, 2006. Eur J Cancer 4:161, 2006.

2005

K. R. Swanson, H. Harpold, M. Muzi, A. M. Spence, J.G. Rajendran, K. A. Krohn. “Concordance of FMISO and MRI Imaging Abnormalities in Malignant Gliomas”. AACR Molecular Targets and Cancer Therapeutics: Discovery,Biology,and Clinical Applications, November 2005 – Clinical Cancer Research 11 (24): 9130S-9130S Part 2 Suppl. S DEC 15 2005

A. M. Spence, M. Muzi, J. Grierson, K. R. Swanson, J. Link, D. A. Mankoff, F. O’Sullivan, K. A. Krohn. “[18F]3 ‘ deoxy-3 ‘-flurothymidine (FLT) for PET imaging DNA synthesis in glioma patients”. AACR Molecular Targets and Cancer Therapeutics: Discovery,Biology,and Clinical Applications, November 2005 – Clinical Cancer Research 11 (24): 9130S-9130S Part 2 Suppl. S, DEC 15 2005

2004

C. A. Bridge, E. C. Alvord Jr., K. R. Swanson. “Validation of a Mathematical Model for Brain Tumor Growth and Invasion: Serial Followup of an Untreated Glioma”, American Association for the Advancement of Science (Seattle, WA), February 2004

H. L. P. Harpold, A. Lai, E. C. Alvord Jr., K. R. Swanson. “Interpreting Serial Magnetic Resonance Imaging (MRI) of a Treated Glioblastoma: A Quantitative Modeling Perspective”, American Association for the Advancement of Science (Seattle, WA), February 2004

K. R. Swanson, E. C. Alvord Jr. “Growth of Glioblastomas Predicted from Diagnostic MRIs”, Growth & Death in the CNS International Conference (St. Moritz, Switzerland), March 2004

A. M. Spence, M. Muzi, J. R. Grierson,K. R. Swanson, J. M. Link, D. A. Mankoff, F. O’Sullivan, S. Minoshima, K. A. Krohn. “Initial assessment of [18F]3’deoxy-3’-fluorothymidine (FLT) for PET imaging of DNA synthesis in glioma patients”, 51st Annual Mtg of Society for Nuclear Medicine (Philadelphia, PA), June 2004

K. R. Swanson, M. Muzi, A. M. Spence, J. G. Rajendran, J. R. Grierson, K. A. Krohn. “Imaging Glioma Patients with F-MISO and MRI Provides Distinct Information in the Assessment of Radiation Therapy”, 51st Annual Mtg of Society for Nuclear Medicine (Philadelphia, PA), June 2004

K. R. Swanson, M. Muzi, A. M. Spence, J. G. Rajendran, J. R. Grierson, K. A. Krohn. “Concordance of FMISO-PET and MR Imaging Abnormalities in Glioma Patients”. Society for Neuro-Oncology (Toronto, Canada), November 2004 – Neuro-Oncology 6 (4): 368-369 OCT 2004

K. R. Swanson, H. Harpold, S. Nissen, C. Bridge, A. Lai, T. Cloughesy, E. C. Alvord, Jr. “Monitoring the Effects of Treatment in Glioblastomas: Integrating Mathematical Modeling with Clinical Imaging”. Society for Neuro-Oncology (Toronto, Canada), November 2004 – Neuro-Oncology, 6(4):369, 2004

2003

M. Muzi, K. R. Swanson, A. M. Spence, J. M. Link, S. C. Shoner, C. M. Vernon, D. A. Mankoff, K. A. Krohn. “Initial Assessment of an Acetate model for Membrane Biosynthesis in Glioma Patients,” Society for Nuclear Medicine (New Orleans), June 2003 – Journal of Nuclear Medicine 44 (5): 786 Suppl. S MAY 2003

E.C. Alvord Jr., K. R. Swanson, J. D. Murray. “How to Improve the Diagnosis of Gliomas”, American Association of Neuropathologists (Orlando), June 2003 – Journal of Neuropathology and Experimental Neurology 62 (5): 129 MAY 2003

K. R. Swanson, E. C. Alvord, Jr.: “The Contribution of Net Proliferation and Invasion in the Development of Successful Treatment for Gliomas”, Annual Meeting of the Society for Mathematical Biology (Dundee, Scotland), August 2003 – Platform Presentation

K. R. Swanson, R. Rostomily, E. C. Alvord, Jr. “Confirmation of a theoretical model describing the relative contributions of net growth and dispersal in individual infiltrating gliomas”, Canadian Journal of the Neurological Science, In Press, 2003 Platform presentation at the Annual Meeting of the Canadian Association of Neuropathology (Kingston, Ontario), October 2003

K. R. Swanson, E. C. Alvord, Jr. “Interpreting the Dynamics of Tumor Recurrence Following Radical Resection Through a Theoretical Model for Glioma Growth and Invasion”, Society for Neuro-Oncology (Keystone, CO), November 2003

A. M. Spence, M. Muzi, K. A. Krohn,K. R. Swanson, J. M. Link, S. C. Schoner, C. M. Vernon, D. A. Mankoff. “Initial assessment of 1-[C-11]acetate PET imaging of membrane biosynthesis as a measure of growth in glioma-bearing patients”, AACR-NCI-EORTC International Conference (Boston, Massachusetts), November 2003 – Clinical Cancer Research 9 (16): 6254S-6254S Part 2 Suppl. S DEC 1 2003

2002

K. R. Swanson, J. D. Murray, E. C. Alvord Jr.. “Combining Radiological Observations with a Three-Dimensional Model to Predict Behavior of Brain Tumors in Real Patients,” SIAM Life Sciences and Imaging Sciences Conference (Boston), March 2002

E. Mandonnet, P. Broët, K. R. Swanson, A. Carpentier, J.Y. Delattre, L. Capelle. “Linear Growth of Mean Tumor Diameter in Low Grade Gliomas”, Neurology, 58 (7): A13-A13 Suppl. 3 APR 9 2002

K. R. Swanson, E. Mandonnet, E. C. Alvord Jr., J.Y. Delattre, L. Capelle, P. Broët, A. Carpentier. “Linear Radial Growth of Gliomas: A Mathematical Analysis of Clinical Data,” European Society of Mathematical and Theoretical Biology (Milan, Italy), July 2002

K. R. Swanson, E. C. Alvord, Jr., R. Rostomily. “3D Quantitative Modeling of Glioma Growth and Invasion: Predictions of Survival Time from Imaging Characteristics,” European Society of Mathematical and Theoretical Biology (Milan, Italy), July 2002

K. R. Swanson, E. C. Alvord, Jr. “A Biomathematical and Pathological Analysis of an Untreated Glioblastoma,” Neuropathology 2002 (Helsinki, Finland), July 2002

K. R. Swanson, E. C. Alvord, Jr. “The Concept of Gliomas as a Traveling Wave: The Application of a Mathematical Model to High- and Low-Grade Gliomas,” Canadian Journal of Neurological Sciences, 29(4):395, November 2002 Platform Presention at the Canadian Association of Neuropathology Annual Meeting (Vancouver, BC), October 2002

K. R. Swanson, E. C. Alvord, Jr. “Serial Imaging Observations and Postmortem Examination of an Untreated Glioblastoma: A Traveling Wave of Glioma Growth and Invasion,” Society for Neuro-Oncology Annual Meeting (San Diego), November 2002

2001

K. R. Swanson, E. C. Alvord Jr.. “A 3D Quantitative Model for Brain Tumor Growth and Invasion: Correlations Between the Model and Clinical Behavior,” International Workshop on Brain Tumor Modeling (Scotland), June 2001

K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica), 2001

K. R. Swanson, E. C. Alvord Jr.. “A 3D Quantitative Model for Brain Tumor Growth and Invasion: Correlations Between the Model and Clinical Behavior,” Neuro-Oncology, 3(4):323, 2001

K. R. Swanson, L. D. True, J. D. Murray, D. Lin, R. Vessella. “The Dynamics of Prostate Specific Antigen (PSA) as a Marker of Cancerous Growth,” Annual Meeting of the Society for Mathematical Biology (Hilo, Hawaii), July 2001

K. R. Swanson, E. C. Alvord Jr.. “Can a Three-Dimensional Model for Brain Tumor Growth and Invasion Predict Clinical Behavior in Real Patients?” Annual Meeting of the Society for Mathematical Biology (Hilo, Hawaii), July 2001

K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica, France), September 2001

2000

K. R. Swanson, J. M. McCune, S. M. Blower. “Quantifying the Contribution of the Thymus in T-Cell Reconstitution,” STIs at the Millennium: Past, Present and Future (Baltimore), May 2000

K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica), June 2000

K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “A Three-Dimensional Quantitative Model for Brain Tumor (Glioma) Growth and Invasion,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000

K. R. Swanson, L. True, J. D. Murray. “A Quantitative Model for Prostate Specific Antigen (PSA) as a Marker of Tumor Growth,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000

K. R. Swanson, J. Gottman, J. D. Murray. “The Mathematics of Marriage: Using Modeling to Determine Marital Stability,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000

1999

K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Predicting In Vitro Behavior of Brain Tumor Growth and Invasion,” Theory and Mathematics in Biology and Medicine (Amsterdam), June 1999

1998

K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Mathematical Modeling of the Growth and Control of Gliomas,” Gordon Conference on Theoretical Biology and Biomathematics, June 1998

K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Modeling the Growth and Diffusion of Gliomas on Anatomically Accurate Domains,” Year in Mathematical Biology Pattern Formation Workshops, Institute for Mathematics and It’s Application (Minneapolis), October 1998