OBJECTIVES: The aim of this study was to investigate the longitudinal 5-year long-term outcomes for urinary continence and quality of life (QOL) after robot-assisted radical prostatectomy (RARP), particularly nerve-sparing.
OBJECTIVE: After radical prostatectomy (RP), one-third of patients will experience biochemical recurrence (BCR), which is associated with subsequent metastasis and cancer-specific mortality. We employed machine learning (ML) algorithms to predict BCR...
Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic grading by pathologists. Interpretation of these convoluted three-dim...
Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethral resection of the prostate (TURP). Few studies analyze this peculiar group of patients, and hence we sought to investigate the outcome of RARP in pos...
OBJECTIVE: We evaluated the impact of the duration between the biopsy and surgery on the biochemical recurrence (BCR) after robot-assisted radical prostatectomy (RARP).
BACKGROUND: Robot-assisted laparoscopic prostatectomy (RALP) is a favored surgical approach for treating prostate cancer. However, RALP does not decrease postoperative pain significantly despite its minimal invasiveness. The pain associated with robo...
Journal of magnetic resonance imaging : JMRI
Nov 13, 2021
BACKGROUND: Deep learning-based reconstruction (DLR) can potentially improve image quality by reduction of noise, thereby enabling fast acquisition of magnetic resonance imaging (MRI). However, a systematic evaluation of image quality and diagnostic ...
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