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Urinary Bladder Neoplasms

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[Enhanced imaging in urological endoscopy].

Der Urologe. Ausg. A
White light cystoscopy and the concise documentation of pathological findings are standard diagnostic procedures in urology. Additional imaging modalities and technical innovations may support clinicians in the detection of bladder tumors. Modern end...

Automatic recognition of bladder tumours using deep learning technology and its clinical application.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Bladder cancer is a kind of tumors with a high recurrence rate. The improvement of the cure rate and prognosis of bladder tumor depends on the accurate recognition of bladder tumor under the cystoscope.

Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: A New Standard of Urinary Diversion.

Journal of endourology
To summarize the current evidence on robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) and compare perioperative outcomes and postoperative complications of patients undergoing RARC with extracorporeal urinary div...

Detailed Analysis of Urinary Tract Infections After Robot-Assisted Radical Cystectomy.

Journal of endourology
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and investigate the variables associated with it. A retrospective review of 616 patients who underwent RARC between 2005 and 2019 was performed. Patients wer...

Robot-Assisted Radical Cystectomy for Nonmetastatic Urothelial Carcinoma of Urinary Bladder: A Comparison Between Intracorporeal Versus Extracorporeal Orthotopic Ileal Neobladder.

Journal of endourology
To compare surgical, oncologic, functional outcomes and complication rate between intracorporeal neobladder (ICNB) and extracorporeal neobladder (ECNB) orthotopic ileal neobladder of robot-assisted radical cystectomy (RARC) in patients with nonmetas...

Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients.

Nature communications
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essential for improving therapeutic outcomes. However, current machine-learning-based predictions of drug response often fail to identify robust translational...

Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?

The Journal of urology
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize reporting of magnetic resonance imaging for bladder cancer. This study aimed to prospectively validate VI-RADS using a next-generation magnetic reson...

Robot-assisted radical cystectomy with intracorporeal neobladder: impact of learning curve and long-term assessment of functional outcomes.

Minerva urology and nephrology
BACKGROUND: There is paucity of data about functional outcomes of Robot-assisted Radical Cystectomy (RARC) with intracorporeal orthotopic neobladder (ICON), and the impact of learning curve (LC) on those outcomes remains to be addressed. The aim of t...

A deep learning network-assisted bladder tumour recognition under cystoscopy based on Caffe deep learning framework and EasyDL platform.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Cystoscopy plays an important role in the diagnosis of bladder tumours. As a typical representative of the deep learning algorithm, the convolutional neural network has shown great advantages in the field of image recognition and segmenta...