<HashMap><database>biostudies-literature</database><scores/><additional><submitter>LaViolette PS</submitter><funding>NCATS NIH HHS</funding><funding>NCI NIH HHS</funding><pagination>442-50</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3607265</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(4)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Standard pre- and postcontrast (T1 + C) anatomical MR imaging is proving to be insufficient for accurately monitoring bevacizumab treatment response in recurrent glioblastoma (GBM). We present a novel imaging biomarker that detects abnormal tumor vasculature exhibiting both arterial and venous perfusion characteristics. We hypothesized that a decrease in the extent of this abnormal vasculature after bevacizumab treatment would predict treatment efficacy and overall survival.&lt;h4>Methods&lt;/h4>Dynamic susceptibility contrast perfusion MRI was gathered in 43 patients with high-grade glioma. Independent component analysis separated vasculature into arterial and venous components. Voxels with perfusion characteristics of both arteries and veins (ie, arterio-venous overlap [AVOL]) were measured in patients with de novo untreated GBM and patients with recurrent high-grade glioma before and after bevacizumab treatment. Treated patients were separated on the basis of an increase or decrease in AVOL volume (+/-ΔAVOL), and overall survival following bevacizumab onset was then compared between +/-ΔAVOL groups.&lt;h4>Results&lt;/h4>AVOL in untreated GBM was significantly higher than in normal vasculature (P &lt; .001). Kaplan-Meier survival curves revealed a greater median survival (348 days) in patients with GBM with a negative ΔAVOL after bevacizumab treatment than in patients with a positive change (197 days; hazard ratio, 2.51; P &lt; .05). Analysis of patients with combined grade III and IV glioma showed similar results, with median survivals of 399 days and 153 days, respectively (hazard ratio, 2.71; P &lt; .01). Changes in T1+C volume and ΔrCBV after treatment were not significantly different across +/-ΔAVOL groups, and ΔAVOL was not significantly correlated with ΔT1+C or ΔrCBV.&lt;h4>Conclusions&lt;/h4>The independent component analysis dynamic susceptibility contrast-derived biomarker AVOL adds additional information for determining bevacizumab treatment efficacy.</pubmed_abstract><journal>Neuro-oncology</journal><pubmed_title>Vascular change measured with independent component analysis of dynamic susceptibility contrast MRI predicts bevacizumab response in high-grade glioma.</pubmed_title><pmcid>PMC3607265</pmcid><funding_grant_id>UL1 TR000055</funding_grant_id><funding_grant_id>R01 CA082500</funding_grant_id><pubmed_authors>LaViolette PS</pubmed_authors><pubmed_authors>Cohen AD</pubmed_authors><pubmed_authors>Schmainda KM</pubmed_authors><pubmed_authors>Mueller WM</pubmed_authors><pubmed_authors>Prah MA</pubmed_authors><pubmed_authors>Connelly J</pubmed_authors><pubmed_authors>Malkin MG</pubmed_authors><pubmed_authors>Rand SD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Vascular change measured with independent component analysis of dynamic susceptibility contrast MRI predicts bevacizumab response in high-grade glioma.</name><description>&lt;h4>Background&lt;/h4>Standard pre- and postcontrast (T1 + C) anatomical MR imaging is proving to be insufficient for accurately monitoring bevacizumab treatment response in recurrent glioblastoma (GBM). We present a novel imaging biomarker that detects abnormal tumor vasculature exhibiting both arterial and venous perfusion characteristics. We hypothesized that a decrease in the extent of this abnormal vasculature after bevacizumab treatment would predict treatment efficacy and overall survival.&lt;h4>Methods&lt;/h4>Dynamic susceptibility contrast perfusion MRI was gathered in 43 patients with high-grade glioma. Independent component analysis separated vasculature into arterial and venous components. Voxels with perfusion characteristics of both arteries and veins (ie, arterio-venous overlap [AVOL]) were measured in patients with de novo untreated GBM and patients with recurrent high-grade glioma before and after bevacizumab treatment. Treated patients were separated on the basis of an increase or decrease in AVOL volume (+/-ΔAVOL), and overall survival following bevacizumab onset was then compared between +/-ΔAVOL groups.&lt;h4>Results&lt;/h4>AVOL in untreated GBM was significantly higher than in normal vasculature (P &lt; .001). Kaplan-Meier survival curves revealed a greater median survival (348 days) in patients with GBM with a negative ΔAVOL after bevacizumab treatment than in patients with a positive change (197 days; hazard ratio, 2.51; P &lt; .05). Analysis of patients with combined grade III and IV glioma showed similar results, with median survivals of 399 days and 153 days, respectively (hazard ratio, 2.71; P &lt; .01). Changes in T1+C volume and ΔrCBV after treatment were not significantly different across +/-ΔAVOL groups, and ΔAVOL was not significantly correlated with ΔT1+C or ΔrCBV.&lt;h4>Conclusions&lt;/h4>The independent component analysis dynamic susceptibility contrast-derived biomarker AVOL adds additional information for determining bevacizumab treatment efficacy.</description><dates><release>2013-01-01T00:00:00Z</release><publication>2013 Apr</publication><modification>2025-04-04T20:28:38.785Z</modification><creation>2019-03-27T01:06:35Z</creation></dates><accession>S-EPMC3607265</accession><cross_references><pubmed>23382287</pubmed><doi>10.1093/neuonc/nos323</doi></cross_references></HashMap>