Tj. Polascik et al., Use of multivariate models to improve prediction of pathologic stage for men with clinically localized prostate cancer, PROSTATE C, 1(6), 1998, pp. 301-306
To benefit from definitive local therapy, men with clinically localized pro
state cancer should have organ-confined disease. We discuss the use of mult
ivariate 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 patholog
ic stage by univariate analysis are used in this study. However, each of th
ese variables cannot accurately predict stage for the individual patient Se
veral 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 dise
ase, seminal vesicle invasion and lymph node involvement. This information
will better enable clinicians and patients to make informed decisions about
appropriate treatment options.