Prediction of the risk of harboring prostate cancer by a prebiopsy nomogram based on extended biopsy protocol

TY - JOUR

T1 - Prediction of the risk of harboring prostate cancer by a prebiopsy nomogram based on extended biopsy protocol

AU - Nicolaiew, Nathalie

AU - Ploussard, Guillaume

AU - Chun, Felix K-H

AU - Xylinas, Evanguelos

AU - Allory, Yves

AU - Salomon, Laurent

AU - de la Taille, Alexandre

N1 - Copyright © 2013 S. Karger AG, Basel.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - OBJECTIVE: We aimed to build a nomogram allowing to predict the probability of prostate cancer (PC) after an initial 21-core biopsy and with readily available clinical data.METHODS: 1,490 screened men who underwent an initial 21-core biopsy protocol were included. A multivariate logistic regression was realized including age, prostate volume, prostate-specific antigen (PSA) level, digital rectal examination (DRE) and transrectal ultrasonography (TRUS). Receiver-operating characteristic estimates were used to quantify accuracy of each model.RESULTS: PC was detected in 41.3% of the patients. Median PSA, age and prostate volume were 6.2 ng/ml (range 0.2-50), 64.6 years (range 33-87) and 40 ml (range 10-270), respectively. Abnormal TRUS findings were detected in 14.7% of patients. Age, PSA level, prostate volume, DRE and TRUS were significantly associated with PC (all p ≤ 0.004) in univariable logistic regression analysis. In multivariate logistic regression analysis, significant associations were found for age, PSA level, prostate volume and DRE. Predictive accuracy estimate of this model was equal to 0.70. TRUS was not an independent predictor of PC.CONCLUSIONS: We constructed the first prebiopsy predictive nomogram based on an extended 21-core biopsy procedure with age, PSA level, DRE and prostate volume which are readily available clinical data to urologists.

AB - OBJECTIVE: We aimed to build a nomogram allowing to predict the probability of prostate cancer (PC) after an initial 21-core biopsy and with readily available clinical data.METHODS: 1,490 screened men who underwent an initial 21-core biopsy protocol were included. A multivariate logistic regression was realized including age, prostate volume, prostate-specific antigen (PSA) level, digital rectal examination (DRE) and transrectal ultrasonography (TRUS). Receiver-operating characteristic estimates were used to quantify accuracy of each model.RESULTS: PC was detected in 41.3% of the patients. Median PSA, age and prostate volume were 6.2 ng/ml (range 0.2-50), 64.6 years (range 33-87) and 40 ml (range 10-270), respectively. Abnormal TRUS findings were detected in 14.7% of patients. Age, PSA level, prostate volume, DRE and TRUS were significantly associated with PC (all p ≤ 0.004) in univariable logistic regression analysis. In multivariate logistic regression analysis, significant associations were found for age, PSA level, prostate volume and DRE. Predictive accuracy estimate of this model was equal to 0.70. TRUS was not an independent predictor of PC.CONCLUSIONS: We constructed the first prebiopsy predictive nomogram based on an extended 21-core biopsy procedure with age, PSA level, DRE and prostate volume which are readily available clinical data to urologists.

KW - Adult

KW - Age Factors

KW - Aged

KW - Biopsy, Large-Core Needle

KW - Chi-Square Distribution

KW - Decision Support Techniques

KW - Digital Rectal Examination

KW - Humans

KW - Kallikreins

KW - Logistic Models

KW - Male

KW - Middle Aged

KW - Multivariate Analysis

KW - Nomograms

KW - Odds Ratio

KW - Organ Size

KW - Predictive Value of Tests

KW - Prostate-Specific Antigen

KW - Prostatic Neoplasms

KW - Risk Assessment

KW - Risk Factors

U2 - 10.1159/000345603

DO - 10.1159/000345603

M3 - SCORING: Journal article

C2 - 23295308

VL - 90

SP - 306

EP - 311

JO - UROL INT

JF - UROL INT

SN - 0042-1138

IS - 3

ER -