Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 송완 | - |
dc.date.accessioned | 2019-08-01T16:30:29Z | - |
dc.date.available | 2019-08-01T16:30:29Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1558-7673 | - |
dc.identifier.other | OAK-22794 | - |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/250368 | - |
dc.description.abstract | We investigated the role of Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) for prediction of upgrading in patients with biopsy Gleason score 6 prostate cancers. After retrospective analysis of 443 patients, clinical parameters with PI-RADSv2 showed significantly higher accuracy for upgrading compared with clinical parameters alone. PI-RADSv2 might be used as a preoperative imaging tool to determine risk classification. Introduction: The objective of this study was to investigate the effect of Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) on prediction of postoperative Gleason score (GS) upgrading for patients with biopsy GS 6 prostate cancer. Patients and Methods: We retrospectively reviewed 443 patients who underwent magnetic resonance imaging (MRI) and radical prostatectomy for biopsy-proven GS 6 prostate cancer between January 2011 and December 2013. Preoperative clinical variables and pathologic GS were examined, and all MRI findings were assessed with PI-RADSv2. Receiver operating characteristic curves were used to compare predictive accuracies of multivariate logistic regression models with or without PI-RADSv2. Results: Of the total 443 patients, 297 (67.0%) experienced GS upgrading postoperatively. PI-RADSv2 scores 1 to 3 and 4 to 5 were identified in 157 (25.4%) and 286 (64.6%) patients, respectively, and the rate of GS upgrading was 54.1% and 74.1%, respectively (P <.001). In multivariate analysis, prostate-specific antigen density > 0.16 ng/mL2, number of positive cores ≥ 2, maximum percentage of cancer per core > 20, and PI-RADSv2 score 4 to 5 were independent predictors influencing GS upgrading (each P <.05). When predictive accuracies of multivariate models with or without PI-RADSv2 were compared, the model including PI-RADSv2 was shown to have significantly higher accuracy (area under the curve, 0.729 vs. 0.703; P =.041). Conclusion: Use of PI-RADSv2 is an independent predictor of postoperative GS upgrading and increases the predictive accuracy of GS upgrading. PI-RADSv2 might be used as a preoperative imaging tool to determine risk classification and to help counsel patients with regard to treatment decision and prognosis of disease. © 2018 Elsevier Inc. | - |
dc.language | English | - |
dc.publisher | Elsevier Inc. | - |
dc.subject | Magnetic resonance imaging | - |
dc.subject | PI-RADSv2 | - |
dc.subject | Prostate cancer | - |
dc.subject | Radical prostatectomy | - |
dc.subject | Upgrading | - |
dc.title | Role of PI-RADS Version 2 for Prediction of Upgrading in Biopsy-Proven Prostate Cancer With Gleason Score 6 | - |
dc.type | Article | - |
dc.relation.issue | 4 | - |
dc.relation.volume | 16 | - |
dc.relation.index | SCIE | - |
dc.relation.index | SCOPUS | - |
dc.relation.startpage | 281 | - |
dc.relation.lastpage | 287 | - |
dc.relation.journaltitle | Clinical Genitourinary Cancer | - |
dc.identifier.doi | 10.1016/j.clgc.2018.02.015 | - |
dc.identifier.wosid | WOS:000439486400036 | - |
dc.identifier.scopusid | 2-s2.0-85043514777 | - |
dc.author.google | Song W. | - |
dc.author.google | Bang S.H. | - |
dc.author.google | Jeon H.G. | - |
dc.author.google | Jeong B.C. | - |
dc.author.google | Seo S.I. | - |
dc.author.google | Jeon S.S. | - |
dc.author.google | Choi H.Y. | - |
dc.author.google | Kim C.K. | - |
dc.author.google | Lee H.M. | - |
dc.date.modifydate | 20191114081000 | - |