OBJECTIVE: The aim of this study was to evaluate the effect of a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans.
Predicting disease-related long non-coding RNAs (lncRNAs) is beneficial to finding of new biomarkers for prevention, diagnosis and treatment of complex human diseases. In this paper, we proposed a machine learning techniques-based classification appr...
Robot-assisted radical prostatectomy (RARP) is currently the standard minimally invasive procedure for the surgical management of localized prostate cancer. It has been shown that the minimally invasive robotic approach offers comparable oncologic an...
AIMS: To assess the perioperative and short-term functional and oncologic outcomes of the salvage robot-assisted radical prostatectomy (sRARP), after recurrence following primary proton beam therapy for clinically localized prostate cancer.
Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences
Aug 18, 2021
OBJECTIVE: To evaluate urinary continence recovery time and risk factors of urinary continence recovery after robot-assisted laparoscopic radical prostatectomy (RARP).
The question of what came first-in this case the diagnosis of prostate cancer or its therapy-seems absurd at first glance and is reminiscent of the classic metaphor-like problem that preoccupied the Greek writer Plutarch (45-125). Today it is a matte...
BACKGROUND: Biparametric MRI (comprising T2-weighted MRI and apparent diffusion coefficient maps) is increasingly being used to characterise prostate cancer. Although previous studies have combined Prostate Imaging-Reporting & Data System (PI-RADS)-b...
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