AIMC Topic: Prostatic Neoplasms

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Solitary Fibrous Tumor of the Prostate Treated with Frozen-Section Supported Robot-Assisted Nerve-Sparing Radical Prostatectomy.

Urologia internationalis
INTRODUCTION: Solitary fibrous tumors (SFTs) of the prostate are extremely rare. We report on a 60-year-old man who was diagnosed with prostatic SFT through transurethral resection (TUR) of the prostate, and we provide a narrative literature review t...

From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

European urology oncology
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...

Quality of life after non-nerve-sparing, robot-assisted radical prostatectomy.

Asia-Pacific journal of clinical oncology
OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostatectomy (RARP) and factors associated with worsened QOL.

Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation.

Academic radiology
RATIONALE AND OBJECTIVES: Prostate MRI quality is essential in guiding prostate biopsies. However, assessment of MRI quality is subjective with variation. Quality degradation sources exert varying impacts based on the sequence under consideration, su...

Insights into urinary incontinence after robot-assisted radical prostatectomy: urgent urinary incontinence or stress urinary incontinence.

World journal of urology
PURPOSE: Urinary incontinence is a common complication following robot-assisted radical prostatectomy (RARP). Few studies have explored the relationships and differences between stress urinary incontinence (SUI) and urgent urinary incontinence (UUI) ...

Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.

Annals of nuclear medicine
OBJECTIVE: We aimed to develop deep learning classifiers for assessing therapeutic response on bone scans of patients with prostate cancer.

Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability.

New biotechnology
Diagnostic histopathology faces increasing demands due to aging populations and expanding healthcare programs. Semi-automated diagnostic systems employing deep learning methods are one approach to alleviate this pressure. The learning models for hist...

Comparative analysis of robot-assisted simple prostatectomy: the HUGO™ RAS system versus the DaVinci® Xi system.

Prostate cancer and prostatic diseases
BACKGROUND: Robot-Assisted Simple Prostatectomy (RASP) has emerged as a promising alternative in the treatment of benign prostatic obstruction (BPO). However, there is currently a lack of comparative studies evaluating different robotic platforms for...