{"id":328,"date":"2010-08-24T18:37:52","date_gmt":"2010-08-25T01:37:52","guid":{"rendered":"http:\/\/depts.washington.edu\/krslab\/"},"modified":"2018-06-04T16:45:09","modified_gmt":"2018-06-04T23:45:09","slug":"russ-rockne","status":"publish","type":"page","link":"https:\/\/mathematicalneurooncology.org\/?page_id=328","title":{"rendered":"Members: Russell Rockne"},"content":{"rendered":"<p><img loading=\"lazy\" class=\"alignleft\" src=\"https:\/\/mathematicalneurooncology.org\/wp-content\/uploads\/2010\/08\/Rockne_Russell_C_PhD-web-200x300.jpg\" alt=\"Russell C. Rockne, Ph.D.\" width=\"200\" height=\"300\" \/><strong>Post-doctoral Research Associate<\/strong><\/p>\n<p>Ph.D. Applied Mathematics 2013<\/p>\n<p>My research is based on patient-specific (PS) mathematical models of cancer growth and response to therapy. Specifically, I consider how routinely collected clinical data can be used to parameterize PS models that can provide biological insight and clinically relevant predictions of individual disease behavior. I recently completed my Ph.D. in Applied Mathematics from the University of Washington, with my dissertation titled \u201cTowards Patient-Specific Mathematical Radiation Oncology.\u201d My thesis establishes a framework for PS modeling of tumor growth and response to radiation therapy, built entirely upon routinely collected MRI data.<\/p>\n<p>My research goal is to test the general hypothesis that patient-specific mathematical models can quantify and predict disease behavior and recurrence following therapy <i>in vivo,<\/i> in individual patients.<br \/>\n<a href=\"https:\/\/mathematicalneurooncology.org\/wp-content\/uploads\/2013\/02\/pic.png\"><br \/>\n<\/a><strong><a href=\"https:\/\/mathematicalneurooncology.org\/wp-content\/uploads\/2010\/08\/Rockne_CV_Dec2014.pdf\">Rockne CV Dec.<\/a><\/strong><\/p>\n<p><strong><a title=\"Google Scholar Profile\" href=\"https:\/\/scholar.google.com\/citations?user=OZLcdWkAAAAJ\" target=\"_blank\" rel=\"noopener\">Google Scholar Profile<\/a><\/strong><\/p>\n<h3><strong>Awards<\/strong><\/h3>\n<ul>\n<li style=\"text-align: justify;\">Named the &#8220;<a href=\"https:\/\/www.smb.org\/publications\/newsletter\/vol27no2.pdf\" target=\"_blank\" rel=\"noopener\">Future of Mathematical Biology<\/a>&#8221; (2014)<br \/>\nThis is a semi-annual, nominated feature in the Society for Mathematical Biology newsletter<\/li>\n<li style=\"text-align: justify;\">Landahl Student Travel Award (2013)<br \/>\nSociety for Mathematical Biology (SMB) Annual Meeting &#8211; Phoenix Arizona<\/li>\n<li style=\"text-align: justify;\">Robert\u2019s prize nominee \u00a0 \u00a0 (2011)<br \/>\nTop 10 paper of the year for Physics in Medicine and Biology<br \/>\n<strong>Rockne, R<\/strong>, Rockhill JK, Mrugala M, Spence AM, Kalet I, Hendrickson K, Lai A, Cloughsey T, Alvord EC Jr., Swanson KR: Predicting the efficacy of radiotherapy in individual glioblastoma patients <em>in vivo<\/em>: a mathematical modeling approach. <em>Physics in Medicine and Biology<\/em>, <strong>55<\/strong>: 3271-3285 2010.\u00a0<strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/20484781\">20484781<\/a><\/strong><\/li>\n<li style=\"text-align: justify;\">Best Abstract \u00a0 \u00a0 \u00a0 (2011)<br \/>\n36<sup>th<\/sup> Annual Western Regional Society for Nuclear Medicine<br \/>\n<strong>Rockne R<\/strong>, Champley K, Alessio A, Muzi M, Krohn KA, Kinahan PE, Swanson KR. Patient-specific simulations allow prediction of hypoxia and [18F]FMISO-PET in human glioblastoma. Seattle, WA<\/li>\n<li style=\"text-align: justify;\">Clinical research paper of the year \u00a0 \u00a0 \u00a0 (2009)<br \/>\nSwanson KR, Chakraborty G, Wang CH, <strong>Rockne R<\/strong>, Harpold HLP, Muzi M, Anderson TCH, Krohn KA, \u00a0Spence AM: Complimentary but Distinct Roles for MRI and 18F-Fluoromisonidazole PET in the Assessment of Human Glioblastomas. <em>Journal of Nuclear Medicine<\/em>, <strong>50<\/strong>: 36-44 2009.\u00a0<strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19091885\">19091885<\/a><\/strong><\/li>\n<\/ul>\n<h3><strong>Theses<\/strong><\/h3>\n<ul>\n<li>A Mathematical Model for Brain Tumor Response to Radiation Therapy<br \/>\nMaster\u2019s Degree in Applied Mathematics, University of Washington, Seattle, WA, 2006.<br \/>\nAdvisor: Kristin R. Swanson<\/li>\n<li>Patient-Specific Mathematical Radiation Oncology<br \/>\nDoctoral Degree in Applied Mathematics, University of Washington, Seattle, WA, 2013.<br \/>\nAdvisor: Kristin R. Swanson<\/li>\n<\/ul>\n<h3><strong><span class=\"Apple-style-span\" style=\"font-size: 15px;\">Articles &#8211; Peer Reviewed<\/span><\/strong><\/h3>\n<ul>\n<li><span style=\"font-weight: normal;\"><strong>Rockne R<\/strong>, Alvord EC Jr., Rockhill JK, Swanson KR: Modeling radiotherapy effect in glioma patients. Journal of Mathematical Biology, Special Issue on Computational Oncology 2008 \u00a0\u00a0<strong>Pubmed ID:\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/18815786\" target=\"_blank\" rel=\"noopener\">18815786<\/a><\/strong><\/span><\/li>\n<li><span style=\"font-weight: normal;\"><strong>Rockne R<\/strong>, Alvord EC Jr., Reed P, Swanson KR: 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 \u00a0<strong><a href=\"https:\/\/www.worldscibooks.com\/lifesci\/6814.html\">World Scientific<\/a><\/strong><\/span><\/li>\n<li><span style=\"font-weight: normal;\">Swanson KR, Harpold HLP, Peacock DL,\u00a0<strong>Rockne R<\/strong>, Pennington C, Kilbride L, Grant R, Wardlaw J, Alvord EC, Jr. Velocity of Radial Expansion of Contrast-Enhancing Gliomas and Effectiveness of Radiotherapy in Individual Patients: A Proof of Principle. Clin Oncol 20: 301-308, 2008 \u00a0\u00a0<strong>Pubmed ID:\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/18308523\" target=\"_blank\" rel=\"noopener\">18308523<\/a><\/strong><\/span><\/li>\n<li><span style=\"font-weight: normal;\">Swanson KR, Chakraborty G, Wang CH,\u00a0<strong>Rockne R<\/strong>, Harpold HLP, Muzi M, Anderson TCH, Krohn KA, Spence AM: Complimentary but Distinct Roles for MRI and\u00a0<sup>18<\/sup>F-Fluoromisonidazole PET in the Assessment of Human Glioblastomas.\u00a0<em>Journal of Nuclear Medicine<\/em>,\u00a0<strong>50<\/strong>: 36-44 2009.\u00a0<strong>Pubmed ID:\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19091885\" target=\"_blank\" rel=\"noopener\">19091885<\/a><\/strong><\/span><\/li>\n<li><span style=\"font-weight: normal;\">M. D. Szeto, G. Chakraborty, J. Hadley,\u00a0<strong>R. Rockne<\/strong>, 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.<em>Cancer Research<\/em> <strong>69<\/strong>(10):4502-9<strong> Pubmed ID:\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19366800\" target=\"_blank\" rel=\"noopener\">19366800<\/a><\/strong><\/span><\/li>\n<li>Wang C, Rockhill JK, Mrugala M, Peacock DL, Lai A, Jusenius K, Wardlaw JM, Cloughesy T, Spence AM, <strong>Rockne R<\/strong>, Alvord EC Jr., Swanson KR: Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel bio-mathematical model. <em>Cancer Research,<\/em> 2009 <strong>69<\/strong>(23): 9133-9140 Pubmed ID<strong>: <\/strong><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19366800\">19366800<\/a><\/li>\n<li>Assefa M, <strong>Rockne R<\/strong>, Szeto M, Swanson KR. Mathematical Modeling of Glioma Proliferation and Diffusion. <em>Ethnicity and Disease<\/em>, 2009 <strong>19<\/strong>:2, Supplement 3 \u00a0<strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19554787\">19554787<\/a><\/strong><\/li>\n<li>Swanson KR, Chakraborty G, Wang CH, <strong>Rockne R<\/strong>, Harpold HLP, Muzi M, Anderson TCH, Krohn KA, Spence AM: Complimentary but Distinct Roles for MRI and 18F-Fluoromisonidazole PET in the Assessment of Human Glioblastomas. <em>Journal of Nuclear Medicine<\/em>, 2009 <strong>50<\/strong>: 36-44.\u00a0<strong>Pubmed ID:<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/19091885\"> 19091885<\/a><\/strong><\/li>\n<li><strong>Rockne, R<\/strong>, Rockhill JK, Mrugala M, Spence AM, Kalet I, Hendrickson K, Lai A, Cloughsey T, Alvord EC Jr, Swanson KR: Predicting the efficacy of radiotherapy in individual glioblastoma patients <em>in vivo<\/em>: a mathematical modeling approach. <em>Physics in Medicine and Biology<\/em>, 2010 <strong>55<\/strong>: 3271-3285. \u00a0<strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/20484781\">20484781<\/a><\/strong><\/li>\n<li>D. Basanta, J. G. Scott, <strong>R. Rockne<\/strong>, K. R. Swanson, A. R. A. Anderson: The role of IDH1 mutated tumour cells in secondary glioblastomas: an evolutionary game theoretical view. <em>Physical Biology<\/em>, <strong>8<\/strong>(1):, 2011 <strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/sites\/entrez\/21301070\" target=\"_blank\" rel=\"noopener\">21301070<\/a><\/strong> <a href=\"https:\/\/ec2-107-22-238-17.compute-1.amazonaws.com\/wp-content\/uploads\/2010\/07\/2011-Basanta-et-al-PB-IDH1-Evolutionary-Game-Theory.pdf\">PDF<\/a><\/li>\n<li>Bohman LE, Swanson KR, Moore JL, <strong>Rockne R<\/strong>, Mandigo C, Hankinson T, Assanah M, \u00a0Canoll P, Bruce JN. Preoperative MRI Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny. <em>Neurosurgery, <\/em>67(5):1319-27, 2010 <strong>Pubmed ID: <a title=\"20871424\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/20871424\" target=\"_blank\" rel=\"noopener\">20871424<\/a><\/strong><\/li>\n<li>Gu S, Chakraborty G, Champley K, Alessio A, Claridge J, <strong>Rockne R<\/strong>, Muzi M, Krohn KA, Spence AM, Alvord EC Jr, Anderson ARA, Kinahan P, Swanson KR. Applying A Patient-Specific Bio-Mathematical Model of Glioma Growth to Develop Virtual [18F]-FMISO PET Images. <em>Mathematics in Medicine and Biology<\/em> 2011 <strong>Article DOI: 10.1093\/imammb\/dqr002<\/strong> In: Computation modeling in cancer special double issue: IMA Mathematical Medicine and Biology. Ed. Rejniak K, Anderson ARA.<\/li>\n<li>Swanson KR, <strong>Rockne RC<\/strong>, 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. <em>Cancer Research<\/em>;, 2011 <strong>Pubmed ID: <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/21900399\" target=\"_blank\" rel=\"noopener\">21900399<\/a><\/strong><\/li>\n<\/ul>\n<h3><strong>Contributed Works<\/strong><\/h3>\n<ol>\n<li><span style=\"font-weight: normal;\"><strong>Rockne R<\/strong>, Alvord EC Jr., Szeto M, Gu S, Chakraborty G, 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\u00a0<strong>ISBN 13<\/strong> 978-0817647124<\/span><\/li>\n<li>Chakraborty G, Sodt R, Massey S, Gu S, <strong>Rockne R<\/strong>, Alvord EC Jr., Swanson KR. Bridging from Multi-scale Modeling to Practical Clinical Applications in the Study of Human Gliomas. In: Multiscale Cancer Modeling. Ed. Deisboeck T, Stamatakos G. CRC Press. <strong>ISBN-10<\/strong> 1439814406<\/li>\n<\/ol>\n<p>Currently, Director, Division of Mathematical Oncology at City of Hope<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Post-doctoral Research Associate Ph.D. Applied Mathematics 2013 My research is based on patient-specific (PS) mathematical models of cancer growth and response to therapy. Specifically, I consider how routinely collected clinical data can be used to parameterize PS models that can provide biological insight and clinically relevant predictions of individual disease behavior. I recently completed my &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mathematicalneurooncology.org\/?page_id=328\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Members: Russell Rockne&#8221;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":430,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/328"}],"collection":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=328"}],"version-history":[{"count":10,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/328\/revisions"}],"predecessor-version":[{"id":3346,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/328\/revisions\/3346"}],"up":[{"embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/pages\/430"}],"wp:attachment":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}