Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-Grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort
DC Field | Value | Language |
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dc.contributor.author | Park, Jae Young | - |
dc.contributor.author | Yoon, Sungroh | - |
dc.contributor.author | Park, Man Sik | - |
dc.contributor.author | Choi, Hoon | - |
dc.contributor.author | Bae, Jae Hyun | - |
dc.contributor.author | Moon, Du Geon | - |
dc.contributor.author | Hong, Sung Kyu | - |
dc.contributor.author | Lee, Sang Eun | - |
dc.contributor.author | Park, Chanwang | - |
dc.contributor.author | Byun, Seok-Soo | - |
dc.date.accessioned | 2021-09-03T11:06:29Z | - |
dc.date.available | 2021-09-03T11:06:29Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-01-03 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/84951 | - |
dc.description.abstract | Purpose We developed the Korean Prostate Cancer Risk Calculator for High-Grade Prostate Cancer (KPCRC-HG) that predicts the probability of prostate cancer (PC) of Gleason score 7 or higher at the initial prostate biopsy in a Korean cohort (http://acl.snu.ac.kr/PCRC/RISC/). In addition, KPCRC-HG was validated and compared with internet-based Western risk calculators in a validation cohort. Materials and Methods Using a logistic regression model, KPCRC-HG was developed based on the data from 602 previously unscreened Korean men who underwent initial prostate biopsies. Using 2,313 cases in a validation cohort, KPCRC-HG was compared with the European Randomized Study of Screening for PC Risk Calculator for high-grade cancer (ERSPCRC-HG) and the Prostate Cancer Prevention Trial Risk Calculator 2.0 for high-grade cancer (PCPTRC-HG). The predictive accuracy was assessed using the area under the receiver operating characteristic curve (AUC) and calibration plots. Results PC was detected in 172 (28.6%) men, 120 (19.9%) of whom had PC of Gleason score 7 or higher. Independent predictors included prostate-specific antigen levels, digital rectal examination findings, transrectal ultrasound findings, and prostate volume. The AUC of the KPCRC-HG (0.84) was higher than that of the PCPTRC-HG (0.79, p<0.001) but not different from that of the ERSPCRC-HG (0.83) on external validation. Calibration plots also revealed better performance of KPCRC-HG and ERSPCRC-HG than that of PCPTRC-HG on external validation. At a cut-off of 5% for KPCRC-HG, 253 of the 2,313 men (11%) would not have been biopsied, and 14 of the 614 PC cases with Gleason score 7 or higher (2%) would not have been diagnosed. Conclusions KPCRC-HG is the first web-based high-grade prostate cancer prediction model in Korea. It had higher predictive accuracy than PCPTRC-HG in a Korean population and showed similar performance with ERSPCRC-HG in a Korean population. This prediction model could help avoid unnecessary biopsy and reduce overdiagnosis and overtreatment in clinical settings. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.subject | PREVENTION TRIAL | - |
dc.subject | BIOPSY | - |
dc.subject | ANTIGEN | - |
dc.subject | PREDICTION | - |
dc.subject | MORTALITY | - |
dc.subject | NOMOGRAM | - |
dc.subject | AGE | - |
dc.title | Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-Grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Jae Young | - |
dc.contributor.affiliatedAuthor | Choi, Hoon | - |
dc.contributor.affiliatedAuthor | Bae, Jae Hyun | - |
dc.contributor.affiliatedAuthor | Moon, Du Geon | - |
dc.identifier.doi | 10.1371/journal.pone.0168917 | - |
dc.identifier.scopusid | 2-s2.0-85008352836 | - |
dc.identifier.wosid | 000391612300070 | - |
dc.identifier.bibliographicCitation | PLOS ONE, v.12, no.1 | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.citation.title | PLOS ONE | - |
dc.citation.volume | 12 | - |
dc.citation.number | 1 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | PREVENTION TRIAL | - |
dc.subject.keywordPlus | BIOPSY | - |
dc.subject.keywordPlus | ANTIGEN | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordPlus | MORTALITY | - |
dc.subject.keywordPlus | NOMOGRAM | - |
dc.subject.keywordPlus | AGE | - |
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