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Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers.

DC Field Value Language
dc.contributor.author나군호-
dc.contributor.author박성윤-
dc.contributor.author오영택-
dc.contributor.author정대철-
dc.contributor.author조남훈-
dc.contributor.author최영득-
dc.contributor.author한경석-
dc.contributor.author홍성준-
dc.date.accessioned2017-02-27T08:09:00Z-
dc.date.available2017-02-27T08:09:00Z-
dc.date.issued2016-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/147099-
dc.description.abstractPurpose To retrospectively analyze whether Prostate Imaging Reporting and Data System (PI-RADS) version 2 is helpful for the detection of clinically significant prostate cancer. Materials and Methods Institutional review board approved this retrospective study. A total of 425 patients with prostate cancer who had undergone magnetic resonance (MR) imaging and radical prostatectomy were included. Preoperative parameters such as prostate-specific antigen, biopsy Gleason score, greatest percentage of the core, percentage of the positive core number, and score at PI-RADS version 2 with MR imaging were investigated. Two independent readers performed PI-RADS scoring. Clinically significant prostate cancer was defined as follows: (a) Gleason score of 7 or greater, (b) tumor volume of 0.5 cm(3) or greater, or a (c) positive extracapsular extension or seminal vesicle invasion. The reference standard was based on review of surgical specimen. Logistic regression was conducted to determine which parameters are associated with the presence of clinically significant cancer. Interreader agreement (ie, score ≥4 or not) was investigated by using κ statistics. Results At univariate analysis, all of the preoperative parameters were significant for clinically significant prostate cancer (P < .05). However, multivariate analysis revealed that PI-RADS score was the only significant parameter for both readers (reader 1: odds ratio = 28.170, P = .002; reader 2: odds ratio = 5.474, P = .007). The interreader agreement was excellent for PI-RADS score of 4 or greater (weighted κ = 0.801; 95% confidence interval: 0.737, 0.865). Conclusion The use of PI-RADS version 2 may help preoperatively diagnose clinically significant prostate cancer.-
dc.description.statementOfResponsibilityrestriction-
dc.format.extent108~116-
dc.languageEnglish-
dc.publisherRadiological Society of North America-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHPreoperative Care/methods*-
dc.subject.MESHProstate/diagnostic imaging-
dc.subject.MESHProstate/pathology-
dc.subject.MESHProstate/surgery-
dc.subject.MESHProstatic Neoplasms/diagnostic imaging*-
dc.subject.MESHProstatic Neoplasms/pathology-
dc.subject.MESHProstatic Neoplasms/surgery-
dc.subject.MESHRadiology Information Systems/statistics & numerical data*-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.titleProstate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers.-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Urology-
dc.contributor.googleauthorSung Yoon Park-
dc.contributor.googleauthorDae Chul Jung-
dc.contributor.googleauthorYoung Taik Oh-
dc.contributor.googleauthorNam Hoon Cho-
dc.contributor.googleauthorYoung Deuk Choi-
dc.contributor.googleauthorKoon Ho Rha-
dc.contributor.googleauthorSung Joon Hong-
dc.contributor.googleauthorKyunghwa Han-
dc.identifier.doi10.1148/radiol.16151133-
dc.contributor.localIdA01227-
dc.contributor.localIdA01509-
dc.contributor.localIdA02390-
dc.contributor.localIdA03592-
dc.contributor.localIdA03812-
dc.contributor.localIdA04111-
dc.contributor.localIdA04264-
dc.contributor.localIdA04402-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid26836049-
dc.identifier.urlhttp://pubs.rsna.org/doi/abs/10.1148/radiol.16151133-
dc.contributor.alternativeNameRha, Koon Ho-
dc.contributor.alternativeNamePark, Sung Yoon-
dc.contributor.alternativeNameOh, Young Taik-
dc.contributor.alternativeNameJung, Dae Chul-
dc.contributor.alternativeNameCho, Nam Hoon-
dc.contributor.alternativeNameChoi, Young Deuk-
dc.contributor.alternativeNameHan, Kyung Seok-
dc.contributor.alternativeNameHong, Sung Joon-
dc.contributor.affiliatedAuthorRha, Koon Ho-
dc.contributor.affiliatedAuthorPark, Sung Yoon-
dc.contributor.affiliatedAuthorOh, Young Taik-
dc.contributor.affiliatedAuthorJung, Dae Chul-
dc.contributor.affiliatedAuthorCho, Nam Hoon-
dc.contributor.affiliatedAuthorChoi, Young Deuk-
dc.contributor.affiliatedAuthorHan, Kyung Seok-
dc.contributor.affiliatedAuthorHong, Sung Joon-
dc.citation.volume280-
dc.citation.number1-
dc.citation.startPage108-
dc.citation.endPage116-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.280(1) : 108-116, 2016-
dc.date.modified2017-02-24-
dc.identifier.rimsid47131-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers

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