Initial Biopsy Outcome Prediction in Korean Patients-Comparison of a Noble Web-based Korean Prostate Cancer Risk Calculator versus Prostate-specific Antigen Testing

Park, Jae Young; Yoon, Sungroh; Park, Man Sik; Cho, Dae Yeon; Park, Hong Seok; Moon, Du Geon; Yoon, Dae Wui

doi:10.3346/jkms.2011.26.1.85

Cited by 15 publications

(16 citation statements)

References 22 publications

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“…While these results are similar with those reported from previous studies ( Table 3), [15][16][17][18][19] this is the first report to do so in a Chinese population, using a Chinese cohort. Recently, a systematic review comparing different models for predicting the risk of a positive prostate biopsy using PSA levels alone was reported.…”

supporting

confidence: 55%

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

Tang¹,

Chen²,

Uhlman³

et al. 2012

Asian J Androl

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Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort. In the present study, we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population. A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included. Stepwise logistic regression was used to determine the independent predictors of a positive initial biopsy. Age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE) status, % free PSA and transrectal ultrasound (TRUS) findings were included in the analysis. A nomogram model was developed that was based on these independent predictors to calculate the probability of a positive initial prostate biopsy. A receiver-operating characteristic curve was used to assess the accuracy of using the nomogram and PSA levels alone for predicting positive prostate biopsy. The rate for positive initial prostate biopsy was 41.7% (223/535). The independent variables used to predict a positive initial prostate biopsy were age, PSA, PV and DRE status. The areas under the receiver-operating characteristic curve for a positive initial prostate biopsy for PSA alone and the nomogram were 79.7% and 84.8%, respectively. Our results indicate that the risk of a positive initial prostate biopsy can be predicted to a satisfactory level in a Chinese population using our nomogram. The nomogram can be used to identify and counsel patients who should consider a prostate biopsy, ultimately enhancing accuracy in diagnosing prostate cancer.

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supporting

confidence: 55%

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

Tang¹,

Chen²,

Uhlman³

et al. 2012

Asian J Androl

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“…Many prediction models based on Western data to diagnose PC at initial biopsy have been developed and compared each other [4, 5]. Our team also developed a prostate cancer risk calculator based on a Korean cohort, validated it externally, and compare its performance with Western risk calculators [7, 8]. However, unlike the ERSPCRC-HG and PCPTRC-HG, our previous calculator does not predict high-grade PC.…”

Section: Discussionmentioning

confidence: 99%

“…These data were identical to those used in the previous studies, and the inclusion/exclusion criteria and the details about TRUS/TRUS biopsy procedure have been described previously [7, 8]. Briefly, biopsy was performed systemically and its indications were increased level of PSA, a palpable nodule upon DRE, or a hypoechoic lesion upon TRUS [7]. …”

Section: Methodsmentioning

confidence: 99%

“…Our team showed in previous studies that the Korean Prostate Cancer Risk Calculator was better than a Western calculator in predicting the probability of PC [7, 8]. Here, we developed the Korean Prostate Cancer Risk Calculator for high-grade prostate cancer (KPCRC-HG) in order to reduce overdiagnosis and overtreatment of PC in our daily practice.…”

Section: Introductionmentioning

confidence: 99%

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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

et al. 2017

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PurposeWe 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 MethodsUsing 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.ResultsPC 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.ConclusionsKPCRC-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.

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“…In the multiple logistic regression analysis with a backward variable selection procedure, the significant predictors of a positive prostate biopsy for all patients were age, DRE findings, the logarithmic transformations of PSA level, and TV (Table III). The prediction equation and its variables were described previously 8. As for continuous variables such as age, PSA, and TV, the value itself was put into the equation.…”

Section: Resultsmentioning

confidence: 99%

Can the prostate risk calculator based on western population be applied to asian population?

et al. 2011

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Initial Biopsy Outcome Prediction in Korean Patients-Comparison of a Noble Web-based Korean Prostate Cancer Risk Calculator versus Prostate-specific Antigen Testing

Cited by 15 publications

References 22 publications

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

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

Can the prostate risk calculator based on western population be applied to asian population?

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