Objective: To evaluate the association between body fat mass distribution measured by bioelectrical impedanciometry (BEI) and high-grade prostate cancer (HGPC). Methods: We prospectively analyze 323 patients who underwent prostate biopsy. BEI was performed prior to biopsy. Prostate cancer (PC) was stratified according to D'Amico classification. For univariate analysis, Student t test was done. For multivariate analysis, bivariate logistic regression was performed using PSA, body mass index (BMI), percentage central body fat, percentage total body fat, and visceral fat as explicative variables for the diagnosis of HGPC. Results: PC was found in 134 patients. Thirty seven (27.2%) were HGPC. This group had higher age, PSA, and percentage central body fat (p = 0.001, p = 0.001, p = 0.04). BMI showed no association with HRPC. Age, PSA, and percentage central body fat (OR 1,123, 95% CI 1,022-1,233, p = 0.001) were independent risk factors. Conclusions: Central body fat measured by BEI could explain the association between obesity and HGPC better than BMI suggesting the use of this technique to study body fat distribution.

Watchful waiting is a useful option in patients with incidental prostate adenocarcinoma and favourable prognostic criteria. Postoperative PSA and Gleason score can predict progression in T1a stage and postoperative PSA in T1b stage.

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OMS define el carcinoma sarcomatoide como tumor maligno con evidencia morfoló gica y/o inmunohistoquímica de diferenciació n epitelial y mesenquimal, especificando en el diagnó stico la presencia o ausencia de elementos heteró logos 9