Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …

Background Testing a hypothesis for 'factors-outcome effect'is a common quest, but standard
statistical regression analysis tools are rendered ineffective by data contaminated with too …

PURPOSE: We developed an artificial neural network and nomogram using readily
available clinical features to model the chance of identifying sperm with microdissection …

Bladder cancer is a major cause of morbidity and mortality. At initial diagnosis, 75% of
patients present with non‐muscle‐invasive disease and 25% of patients have muscle …

Study Type–Prognosis (outcomes research) Level of Evidence 2c OBJECTIVE To determine
whether published nomograms, ie The International Bladder Cancer Nomogram Consortium …

BACKGROUND At present, non-invasive methods are not comprehensive enough to enable
urologists to predict sperm retrieval results accurately in patients with non-obstructive …

BACKGROUND Risk stratification of patients with urothelial carcinoma of the bladder (UCB)
after cystectomy has important clinical and research implications. The authors assessed the …

Bladder cancer (BC) is a heterogeneous disease encompassing distinct biologic features
that lead to extremely different clinical behaviors. In the last 20 years, great efforts have been …

METHODS Comprehensive searches based on the concepts of “AI” and “urothelial cancer”
were conducted in MEDLINE, EMBASE, Web of Science, and Scopus. Study selection and …

Objectives To develop an easy tool to predict cancer specific (CSS) and disease-free
survival (DFS) in patients with bladder cancer treated with radical cystectomy. Methods Data …