Prostate cancers detected by saturation repeat biopsy impairs the Partin tables' accuracy to predict final pathological stage - Abstract

Departments of Urology Institute of Pathology, Medical University of Graz, Graz, Austria.

 

Study Type - Diagnostic (exploratory cohort) Level of Evidence 2b.

What's known on the subject? and What does the study add? The Partin tables represent a widely used tool to predict final pathologic stage in men with localized prostate cancer. The study provides a validity assessment of the current Partin tables' version, and compares data sets from patients with prostate cancers detected by different biopsy schedules for potential differences in predictive accuracy.

To analyse the overall accuracy of Partin tables, with special emphasis to potential limitations resulting from differences between prostate cancers detected by different biopsy schedules.

Clinical characteristics from 599 patients treated with radical prostatectomy defined the 2007 Partin probabilities of organ confinement (OC), seminal vesicle invasion (SVI) and extracapsular extension (ECE). Prostate cancers were detected by initial biopsy (IBx) with ≤ 12 cores in 405 patients (67.6%), by conventional repeat biopsy (CRBx) with ≤ 12 cores in 99 (16.5%) and by saturation repeat biopsy (SRBx) with ≥20 cores in 95 patients (15.9%). The area under the curve (AUC) estimated by the receiver operating characteristic curve, assessed the predictive accuracy of the 2007 Partin tables.

The Partin tables AUC of the IBx, CRBx and the SRBx groups were 0.730 vs 0.701 vs 0.585 for OC, 0.631 vs 0.689 vs 0.547 for ECE, and 0.775 vs 0.755 vs 0.641 for SVI, respectively.

The overall accuracy of the 2007 Partin tables was clearly inferior in patients with prostate cancers detected by SRBx. Prostate cancers detected by SRBx undermine the Partin tables' overall accuracy, and this group of patients may be miscounselled by vague predictions.

Written by:
Augustin H, Auprich M, Mannweiler S, Pachernegg O, Al-Ali BM, Pummer K.   Are you the author?

Reference: BJU Int. 2011 Nov 17. Epub ahead of print.
doi: 10.1111/j.1464-410X.2011.10765.x

PubMed Abstract
PMID: 22093162

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