Prospective validation of a nomogram predictive of a positive initial prostate biopsy

Ramírez‐Backhaus, M.; Bahilo, P.; Arlandis, S.; Navarro, Cristina Santamaría; Moreno, J.L. Pontones; Jiménez-Cruz, F.

doi:10.1016/s2173-5786(10)70008-1

Cited by 2 publications

(1 citation statement)

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“…Yet, there is only one study that brought TZPSAD into its nomogram for predicting the probability of significant PCa, but not for general detection of PCa (Ohigashi et al, 2010). Likewise, only one study contained TZPV in its models for predicting the outcome of a 10-core prostate biopsy (Ram ırez-Backhaus et al, 2010). To the best of our knowledge, there is currently no nomogram specialized for predicting the outcome of a 12-core prostate biopsy using PSAD, PV, and their zone-adjusted derivatives.…”

Section: Introductionmentioning

confidence: 99%

The roles of prostate‐specific antigen (PSA) density, prostate volume, and their zone‐adjusted derivatives in predicting prostate cancer in patients with PSA less than 20.0 ng/mL

et al. 2017

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The aim of this study was to develop nomograms for predicting prostate cancer and its zonal location using prostate-specific antigen density, prostate volume, and their zone-adjusted derivatives. A total of 928 consecutive patients with prostate-specific antigen (PSA) less than 20.0 ng/mL, who underwent transrectal ultrasound-guided transperineal 12-core prostate biopsy at West China Hospital between 2011 and 2014, were retrospectively enrolled. The patients were randomly split into training cohort (70%, n = 650) and validation cohort (30%, n = 278). Predicting models and the associated nomograms were built using the training cohort, while the validations of the models were conducted using the validation cohort. Univariate and multivariate logistic regression was performed. Then, new nomograms were generated based on multivariate regression coefficients. The discrimination power and calibration of these nomograms were validated using the area under the ROC curve (AUC) and the calibration curve. The potential clinical effects of these models were also tested using decision curve analysis. In total, 285 (30.7%) patients were diagnosed with prostate cancer. Among them, 131 (14.1%) and 269 (29.0%) had transition zone prostate cancer and peripheral zone prostate cancer. Each of zone-adjusted derivatives-based nomogram had an AUC more than 0.75. All nomograms had higher calibration and much better net benefit than the scenarios in predicting patients with or without different zones prostate cancer. Prostate-specific antigen density, prostate volume, and their zone-adjusted derivatives have important roles in detecting prostate cancer and its zonal location for patients with PSA 2.5-20.0 ng/mL. To the best of our knowledge, this is the first nomogram using these parameters to predict outcomes of 12-core prostate biopsy. These instruments can help clinicians to increase the accuracy of prostate cancer screening and to avoid unnecessary prostate biopsy.

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Section: Introductionmentioning

confidence: 99%