Abstract
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.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 4 print issues and online access
$259.00 per year
only $64.75 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Polascik, T., Pearson, J., Partin, A. et al. Use of multivariate models to improve prediction of pathologic stage for men with clinically localized prostate cancer. Prostate Cancer Prostatic Dis 1, 301–306 (1998). https://doi.org/10.1038/sj.pcan.4500258
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/sj.pcan.4500258