Six additional systematic lateral cores enhance sextant biopsy prediction of pathological features at radical prostatectomy. Academic Article uri icon

Overview

abstract

  • PURPOSE: We evaluated the contribution of 6 additional systematically obtained, laterally directed biopsy cores to traditional sextant biopsy for the prediction of final pathological findings in the radical prostatectomy specimen. MATERIALS AND METHODS: We studied 178 consecutive patients with no history of prostate biopsy in whom prostate cancer was diagnosed during an initial systematic 12 core biopsy and who subsequently underwent radical prostatectomy. Of the systematic 12 cores we compared the subset of the 6 traditional sextant cores (S6C), the set of 6 laterally directed cores (L6C) and the complete 12 core set, which included the 6 traditional sextant and the 6 laterally directed cores. Biopsy Gleason score, number of positive cores, total cancer length and percent of tumor in the biopsy sets were examined for their ability to predict extracapsular extension, total tumor volume and pathological Gleason score. RESULTS: On univariable analyses the biopsy parameters of the complete 12 core set correlated more strongly with extracapsular extension and total tumor volume than the biopsy parameters of S6C or L6C. On multivariable analyses S6C and L6C were independent predictors of pathological features at prostatectomy. CONCLUSIONS: The addition of 6 systematically obtained, laterally directed cores to traditional sextant biopsy improved the ability to predict pathological features at prostatectomy by a statistically and prognostically significant margin. Preoperative nomograms that use data from a full complement of 12 systematic cores, specifying sextant and laterally directed biopsy cores, should demonstrate improved performance in predicting prostatectomy pathology.

publication date

  • January 1, 2004

Research

keywords

  • Prostate
  • Prostatectomy
  • Prostatic Neoplasms

Identity

Scopus Document Identifier

  • 0346848828

Digital Object Identifier (DOI)

  • 10.1097/01.ju.0000100220.46419.8b

PubMed ID

  • 14665877

Additional Document Info

volume

  • 171

issue

  • 1