<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10(2)</volume><submitter>Wang H</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Seminal vesicle invasion (SVI) is considered to be one of most adverse prognostic findings in prostate cancer, affecting the biochemical progression-free survival and disease-specific survival. Multiparametric magnetic resonance imaging (mpMRI) has shown excellent specificity in diagnosis of SVI, but with poor sensitivity. The aim of this study is to create a model that includes the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) score to predict postoperative SVI in patients without SVI on preoperative mpMRI.&lt;h4>Methods&lt;/h4>A total of 262 prostate cancer patients without SVI on preoperative mpMRI who underwent radical prostatectomy (RP) at our institution from January 2012 to July 2019 were enrolled retrospectively. The prostate-specific antigen levels</pubmed_abstract><journal>Translational andrology and urology</journal><pagination>584-593</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7947466</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Predictive model containing PI-RADS v2 score for postoperative seminal vesicle invasion among prostate cancer patients.</pubmed_title><pmcid>PMC7947466</pmcid><pubmed_authors>Liu H</pubmed_authors><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Ruan M</pubmed_authors><pubmed_authors>Hu X</pubmed_authors><pubmed_authors>Zhou B</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Song G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictive model containing PI-RADS v2 score for postoperative seminal vesicle invasion among prostate cancer patients.</name><description>&lt;h4>Background&lt;/h4>Seminal vesicle invasion (SVI) is considered to be one of most adverse prognostic findings in prostate cancer, affecting the biochemical progression-free survival and disease-specific survival. Multiparametric magnetic resonance imaging (mpMRI) has shown excellent specificity in diagnosis of SVI, but with poor sensitivity. The aim of this study is to create a model that includes the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) score to predict postoperative SVI in patients without SVI on preoperative mpMRI.&lt;h4>Methods&lt;/h4>A total of 262 prostate cancer patients without SVI on preoperative mpMRI who underwent radical prostatectomy (RP) at our institution from January 2012 to July 2019 were enrolled retrospectively. The prostate-specific antigen levels</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Feb</publication><modification>2025-04-26T18:33:17.373Z</modification><creation>2025-02-19T01:40:39.569Z</creation></dates><accession>S-EPMC7947466</accession><cross_references><pubmed>33718061</pubmed><doi>10.21037/tau-20-989</doi></cross_references></HashMap>