Use of systematic biopsy results to predict pathologic stage in patients with clinically localized prostate cancer: a preliminary report. Academic Article uri icon

Overview

abstract

  • BACKGROUND: The purpose of this study was to determine the ability of clinical tests to predict advanced pathologic stage (seminal vesicle invasion, pT3c, or pelvic lymph node metastases, pN+). METHODS: T stage, PSA, PSA density, and pathologic features in systematic biopsy specimens were correlated with pathologic stage in 190 consecutive patients with clinically localized (T1-3) prostate cancer detected by systematic needle biopsies and treated with radical prostatectomies. RESULTS: Thirty-three patients (17%) had an advanced pathologic stage cancer (pT3c or pN+). In logistic regression analysis, the total length of cancer in all biopsy cores (P < 0.0005), the percent of poorly-differentiated cancer in each specimen (P< 0.021), and serum PSA (P< 0.028) were the only significant predictors of advanced stage. A model was constructed to predict advanced stage: if the PSA was > or = 6 ng/mL and 4 or more biopsy cores were positive and the total length of cancer in all cores was > or = 20 mm and at least 10% of the cancer was poorly-differentiated, then 14 (93%) of 15 patients had an advanced pathologic stage cancer compared to 11% of the remaining 175 patients (P < 0.0005). CONCLUSION: The pathologic features of cancer in systematic needle biopsy specimens more accurately predicts which patients have advanced stage cancer than standard clinical tests alone.

publication date

  • July 1, 1998

Research

keywords

  • Algorithms
  • Neoplasm Staging
  • Prostatic Neoplasms

Identity

Scopus Document Identifier

  • 0031663103

PubMed ID

  • 9712441

Additional Document Info

volume

  • 5

issue

  • 4