AIMC Topic: Urinary Bladder Neoplasms

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Trends of radical cystectomy and comparisons of surgical outcomes among surgical approaches focusing on robot-assisted radical cystectomy: A Japanese nationwide database study.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVE: To clarify the trends in radical cystectomy and to compare surgical outcomes among surgical approaches focusing on robot-assisted radical cystectomy based on a Japanese nationwide database.

Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging-reporting and data system.

European radiology
OBJECTIVES: To compare the diagnostic performance of a novel deep learning (DL) method based on T2-weighted imaging with the vesical imaging-reporting and data system (VI-RADS) in predicting muscle invasion in bladder cancer (MIBC).

Is Robotic Superior to Laparoscopic Approach for Radical Nephroureterectomy with Bladder Cuff Excision in Treating Upper Urinary Tract Urothelial Carcinoma?

Journal of endourology
Laparoscopic nephroureterectomy (LNU) has become popular in treating upper urinary tract urothelial carcinoma (UTUC) and an emerging trend was observed in robotic approaches. Therefore, we compared robot-assisted radical nephroureterectomy (RANU) an...

Preliminary Surgical Outcomes After Single Incision Robotic Cystectomy (SIRC).

Urology
OBJECTIVE: To report the preliminary surgical outcomes for single incision robotic cystectomy (SIRC). Robotic cystectomy is associated with low utilization rates of orthotopic neobladders due to challenges related to intracorporeal sowing and configu...

Long-term oncologic outcomes of robot-assisted radical cystectomy: update series from a high-volume robotic center beyond 10 years of follow-up.

Journal of robotic surgery
Long-term oncologic data on patients undergoing robot-assisted radical cystectomy (RARC) for non-metastatic bladder cancer (BCa) are limited. The purpose of this study is to describe long-term oncologic outcomes of patients receiving robotic radical ...

Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

International journal of molecular sciences
Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the oncogenic mechanisms between muscle-invasive bladder cancer (MIBC) and advanced bladder cancer (ABC) and the limitations of current treatments, novel the...

A propensity score matching study on robot-assisted radical cystectomy for older patients: comparison of intracorporeal ileal conduit and cutaneous ureterostomy.

BMC urology
BACKGROUND: Robot-assisted radical cystectomy (RARC) and intracorporeal urinary diversion are less invasive than conventional procedures. However, for older patients, cutaneous ureterostomy (CUS) may be preferred because urinary diversion using the i...

Multi-task deep learning based on T2-Weighted Images for predicting Muscular-Invasive Bladder Cancer.

Computers in biology and medicine
BACKGROUND: An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer (NMIBC) and Muscle-Invasive Bladder Cancer (MIBC) in Bladder Cancer (BCa) can help the urologist make diagnostic decisions. Considering the absence of multiparametr...

Robotic versus open cystectomy with ileal conduit for the management of neurogenic bladder: a comparative study.

World journal of urology
PURPOSE: Cystectomy associated with non-continent ileal diversion is a common surgery in patients with neurogenic bladder. Few data are available, especially for the robotic approach. Our purpose was to compare open cystectomy (OC) and robot-assisted...

Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method.

Scientific reports
We evaluate the diagnostic performance of deep learning artificial intelligence (AI) for bladder cancer, which used white-light images (WLIs) and narrow-band images, and tumor grade prediction of AI based on tumor color using the red/green/blue (RGB)...