Background/Aims/ Objectives: In patients elected to the first prostate biopsy set, the risk of prostate cancer (PCA) may be predicted by clinical factors. The aim of this study was to investigate on prostate volume index (PVI), defined as the ratio of volume of the transitional zone to the volume of the peripheral zone, and PCA risk. METHODS: The study retrospectively evaluated 1,327 patients and included only the first biopsy set with 14 cores. PCA risk was assessed by using the multivariate logistic regression model. RESULTS: The analysis evaluated 596 patients. The detection rate of PCA was 49%. Age, prostate specific antigen, PVI and digital rectal exam were independent factors of PCA risk, which was decreased by PVI (OR 0.224; 95% CI 0.157-0.380). The goodness of fit statistics assessed model efficacy. CONCLUSIONS: In a large cohort undergoing the first biopsy set, PVI associated with a decreased risk of PCA. Confirmatory studies are required.
Background/Aims/ Objectives: In patients elected to the first prostate biopsy set, the risk of prostate cancer (PCA) may be predicted by clinical factors. The aim of this study was to investigate on prostate volume index (PVI), defined as the ratio of volume of the transitional zone to the volume of the peripheral zone, and PCA risk. METHODS: The study retrospectively evaluated 1,327 patients and included only the first biopsy set with 14 cores. PCA risk was assessed by using the multivariate logistic regression model. RESULTS: The analysis evaluated 596 patients. The detection rate of PCA was 49%. Age, prostate specific antigen, PVI and digital rectal exam were independent factors of PCA risk, which was decreased by PVI (OR 0.224; 95% CI 0.157-0.380). The goodness of fit statistics assessed model efficacy. CONCLUSIONS: In a large cohort undergoing the first biopsy set, PVI associated with a decreased risk of PCA. Confirmatory studies are required.
Authors: Antonio B Porcaro; Alessandro Tafuri; Marco Sebben; Giovanni Novella; Tania Processali; Marco Pirozzi; Nelia Amigoni; Riccardo Rizzetto; Aliasger Shakir; Arianna Mariotto; Matteo Brunelli; Maria Angela Cerruto; Giovanni Enrico Cacciamani; Filippo Migliorini; Salvatore Siracusano; Walter Artibani Journal: World J Urol Date: 2019-06-01 Impact factor: 4.226
Authors: Antonio B Porcaro; Daniele Mattevi; Giovanni Novella; Nicolò De Luyk; Paolo Corsi; Leonardo Bizzotto; Davide De Marchi; Marco Sebben; Alessandro Tafuri; Davide Inverardi; Tania Processali; Maria A Cerruto; Matteo Brunelli; Salvatore Siracusano; Walter Artibani Journal: Curr Urol Date: 2017-12-30