Publications by authors named "G Novella"

Objective: To test the hypothesis of associations of preoperative physical status system with major postoperative complications at hospital discharge in prostate cancer (PCa) patients treated with robot-assisted radical prostatectomy (RARP).

Materials And Methods: In a period ranging from January 2013 to October 2020, 1143 patients were evaluated. The physical status was assessed by the American Society of Anesthesiologists' (ASA) system, which was computed trained anesthesiologists.

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To test the hypothesis of an association between the American Society of Anesthesiologists (ASA) physical status classification system and the risk of 90-days postoperative complications after robot-assisted radical prostatectomy (RARP), graded using the Clavien-Dindo classification system (CDS). In a period ranging from January 2013 to October 2020, 1143 patients were evaluated. ASA classification was computed by trained anesthesiologists.

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Objective: The aim of this study is to evaluate the influence of endogenous testosterone density (ETD) on features of aggressive prostate cancer (PCa) in intermediate-risk disease treated with radical prostatectomy and extended pelvic lymph node dissection.

Materials And Methods: Density measurements included the ratio of endogenous testosterone (ET), prostate-specific antigen (PSA), and percentage of biopsy positive cores (BPC) on prostate volume (ETD, PSAD, and BPCD, respectively). The ratio of percentage of cancer invading the gland (tumor load, TL) on prostate weight (TLD) was also calculated.

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Objective: To test the hypothesis that endogenous testosterone (ET) density could be associated with tumor load (TL) in patients with intermediate risk (IR) prostate cancer (PCa).

Materials And Methods: Endogenous testosterone density (ETD, ratio between ET and prostate volume [PV]), biopsy positive cores density (BPCD, the ratio between the number of positive cores and PV) and prostate-specific antigen density (PSAD, ratio between total PSA and PV) were retrospectively evaluated on a prospectively collected data on 430 patients with IR PCa submitted to radical prostatectomy (RP). Tumor load (TL) was measured as the percentage of prostatic volume occupied by cancer at final pathology.

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Objectives: The Rotterdam Prostate Cancer Risk calculator (RPCRC) has been validated in the past years. Recently a new version including multiparametric magnetic resonance imaging (mpMRI) data has been released. The aim of our study was to analyze the performance of the mpMRI RPCRC app.

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