Use of multivariate models to improve prediction of pathologic stage for men with clinically localized prostate cancer.

Published

Journal Article

To benefit from definitive local therapy, men with clinically localized prostate cancer should have organ-confined disease. We discuss the use of multivariate analysis using serum PSA, biopsy Gleason score and clinical stage to improve the prediction of pathologic stage. Serum PSA, biopsy Gleason scores and clinical stage correlate with pathologic stage by univariate analysis are used in this study. However, each of these variables cannot accurately predict stage for the individual patient. Several investigators have proposed clinical algorithms based on multivariate analysis to enhance pretreatment staging. For men with clinically localized prostate cancer, multivariate algorithms are useful to determine the probability of a man having organ-confined disease, seminal vesicle invasion and lymph node involvement. This information will better enable clinicians and patients to make informed decisions about appropriate treatment options.

Full Text

Duke Authors

Cited Authors

  • Polascik, TJ; Pearson, JD; Partin, AW; Polascik, DTJ

Published Date

  • December 1998

Published In

Volume / Issue

  • 1 / 6

Start / End Page

  • 301 - 306

PubMed ID

  • 12496871

Pubmed Central ID

  • 12496871

Electronic International Standard Serial Number (EISSN)

  • 1476-5608

Digital Object Identifier (DOI)

  • 10.1038/sj.pcan.4500258

Language

  • eng

Conference Location

  • England