{"id":157,"date":"2009-11-30T04:55:38","date_gmt":"2009-11-30T04:55:38","guid":{"rendered":"http:\/\/depts.washington.edu\/krslab\/?p=157"},"modified":"2010-08-23T04:58:21","modified_gmt":"2010-08-23T04:58:21","slug":"mathematical-model-provides-groundbreaking-approach-to-predicting-life-expectancy-among-patients-with-malignant-brain-tumors","status":"publish","type":"post","link":"https:\/\/mathematicalneurooncology.org\/?p=157","title":{"rendered":"Mathematical model provides groundbreaking approach to predicting life expectancy among patients with malignant brain tumors"},"content":{"rendered":"<p>&#8220;University of Washington researchers have discovered a way to more  accurately predict life expectancy in patients newly diagnosed with  Glioblastoma Multiforme, the most aggressive form of primary brain  tumors &#8212; and the type that took the life of Senator Ted Kennedy earlier  this year.<\/p>\n<p>This type of tumor accounts for 70% of malignant brain tumors  diagnosed in the U.S. each year, and patients on average live only 12 to  18 months following diagnosis.<\/p>\n<p>Researchers in the lab of Dr. Kristin Swanson, UW associate  professor of pathology, have found the combination of biomathematical  modeling and routinely available pre-treatment magnetic resonance images  (MRI) allows physicians &#8212; for the first time &#8212; to quantify and  visualize patient-specific tumor growth patterns and dynamics. The  results are published in the Dec. 1, 2009 issue of Cancer Research<em>.&#8221;<\/em><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/uwnews.org\/article.asp?articleID=53947\">Read the whole article here. <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;University of Washington researchers have discovered a way to more accurately predict life expectancy in patients newly diagnosed with Glioblastoma Multiforme, the most aggressive form of primary brain tumors &#8212; and the type that took the life of Senator Ted Kennedy earlier this year. This type of tumor accounts for 70% of malignant brain tumors &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mathematicalneurooncology.org\/?p=157\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Mathematical model provides groundbreaking approach to predicting life expectancy among patients with malignant brain tumors&#8221;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/157"}],"collection":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"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=157"}],"version-history":[{"count":3,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/157\/revisions"}],"predecessor-version":[{"id":160,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=\/wp\/v2\/posts\/157\/revisions\/160"}],"wp:attachment":[{"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mathematicalneurooncology.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}