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Preoperative parameters, including percent of positive biopsy cores, in predicting pathological findings after radical prostatectomy
Authors:Inagaki Takeshi  Kohjimoto Yasuo  Hagino Keizo  Kuramoto Tomomi  Mori Takashi  Kikkawa Kazurou  Iba Akinori  Uekado Yasunari  Shinka Toshiaki
Affiliation:Department of Urology, Wakayama Medical University.
Abstract:
OBJECTIVES: We investigated whether preoperative parameters predict pathological stage at radical prostatectomy for patients with clinically localized prostatic cancer. MATERIALS AND METHODS: We studied a total of 160 men with clinically localized prostatic cancer (less than or equal to clinical T2) who underwent radical rertropubic prostatectomy at Wakayama Medical University. Clinical Ts patients are not included in this study. Preoperative parameters include patient age, Body Mass Index, preoperative serum PSA value, biopsy Gleason score, clinical stage, the percent of positive biopsy cores (%PosBx) and the percent of positive biopsy cores on the dominant side (%DomPosBx). Univariate and multivariate analysis were performed to examine the prognostic significance of these preoperative parameters. Significant independent factors were combined to create a table to predict pathologically organ confined disease. RESULTS: Univariate analysis showed preoperative serum PSA value (p< 0.001), biopsy Gleason score (p =0.001), clinical stage (p = 0.026), %PosBx (p= 0.002) and %DomPosBx (p=0.003) were significantly related to the pathological stage. On multivariate analysis, serum PSA value (p< 0.01), biopsy Gleason score (p<0.05) and %DomPosBx (p<0.05) were significant independent predictors of pathological stage. CONCLUSION: We provide two model combinations using preoperative clinical factors, one is a combination of serum PSA and biopsy Gleason score and the other is a combination of serum PSA and %DomPosBx, which define a new preoperative model for predicting pathological organ confined prostatic cancer. These combinations are useful and provide important information for urologists to determine the appropriate treatment strategy for clinically localized prostatic cancer.
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