<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kumar A</submitter><funding>NCI NIH HHS</funding><pagination>508-514</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9620550</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>166(3)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>We sought to determine the predictive value of combining tumor molecular subtype and computerized tomography (CT) imaging for surgical outcomes after primary cytoreductive surgery in advanced stage high-grade serous ovarian cancer (HGSOC) patients.&lt;h4>Methods&lt;/h4>We identified 129 HGSOC patients who underwent pre-operative CT imaging and post-operative tumor mRNA profiling. A continuous CT-score indicative of overall disease burden was defined based on six imaging measurements of anatomic involvement. Molecular subtypes were derived from mRNA profiling of chemo-naïve tumors and classified as mesenchymal (MES) subtype (36%) or non-MES subtype (64%). Fischer exact tests and multivariate logistic regression examined residual disease and surgical complexity.&lt;h4>Results&lt;/h4>Wo</pubmed_abstract><journal>Gynecologic oncology</journal><pubmed_title>Into the future: A pilot study combining imaging with molecular profiling to predict resectability in ovarian cancer.</pubmed_title><pmcid>PMC9620550</pmcid><funding_grant_id>R01 CA172404</funding_grant_id><funding_grant_id>R01 CA248288</funding_grant_id><pubmed_authors>Sheedy SP</pubmed_authors><pubmed_authors>Kim B</pubmed_authors><pubmed_authors>Winham SJ</pubmed_authors><pubmed_authors>Anglesio MS</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Ramus SJ</pubmed_authors><pubmed_authors>Torres D</pubmed_authors><pubmed_authors>McCauley BM</pubmed_authors><pubmed_authors>Keeney GL</pubmed_authors><pubmed_authors>Cliby WA</pubmed_authors><pubmed_authors>Kumar A</pubmed_authors><pubmed_authors>Goode EL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Into the future: A pilot study combining imaging with molecular profiling to predict resectability in ovarian cancer.</name><description>&lt;h4>Objective&lt;/h4>We sought to determine the predictive value of combining tumor molecular subtype and computerized tomography (CT) imaging for surgical outcomes after primary cytoreductive surgery in advanced stage high-grade serous ovarian cancer (HGSOC) patients.&lt;h4>Methods&lt;/h4>We identified 129 HGSOC patients who underwent pre-operative CT imaging and post-operative tumor mRNA profiling. A continuous CT-score indicative of overall disease burden was defined based on six imaging measurements of anatomic involvement. Molecular subtypes were derived from mRNA profiling of chemo-naïve tumors and classified as mesenchymal (MES) subtype (36%) or non-MES subtype (64%). Fischer exact tests and multivariate logistic regression examined residual disease and surgical complexity.&lt;h4>Results&lt;/h4>Wo</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2025-04-04T09:41:48.097Z</modification><creation>2025-04-04T09:41:48.097Z</creation></dates><accession>S-EPMC9620550</accession><cross_references><pubmed>35931468</pubmed><doi>10.1016/j.ygyno.2022.07.020</doi></cross_references></HashMap>