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...
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...
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...
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 24, 2020
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...
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
The EAU guidelines panel on muscle-invasive and metastatic bladder cancer (MIBC) recently recommended open radical cystectomy (ORC) as the best surgical approach for MIBC patients. We critically re-examine the indications for considering ORC as the f...
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