Urinary incontinence is one of the main concerns for patients after radical prostatectomy. Differences in surgical experience among surgeons could partly explain the wide range of frequencies observed. Our aim was to evaluate the association between ...
OBJECTIVES: To evaluate a fully automatic deep learning system to detect and segment clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different institutions not contributing to training of the system.
PURPOSE: To evaluate the impact of a commercially available deep learning-based reconstruction (DLR) algorithm with varying combinations of DLR noise reduction settings and imaging parameters on quantitative and qualitative image quality, PI-RADS cla...
International journal of urology : official journal of the Japanese Urological Association
Jul 26, 2023
OBJECTIVES: This study aimed to investigate the characteristics of patients who report improvement in quality of life (QOL) related to urinary status after undergoing robot-assisted radical prostatectomy (RARP) for localized prostate cancer.
OBJECTIVE: This study aimed to evaluate the impact of palpable prostate tumors on digital rectal exam (DRE) on the disease progression of prostate cancer (PCa) treated with RARP surgery in a tertiary referral center.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jul 15, 2023
BACKGROUND: Senhance Surgical System is a novel robotic platform used in University Hospital Centre Zagreb since February 2019. In this study, we present our 3-year experience with this platform.
BACKGROUND: We recently reported the importance of deep learning (DL) of pelvic magnetic resonance imaging in predicting the degree of urinary incontinence (UI) following robot-assisted radical prostatectomy (RARP). However, our results were limited ...
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