Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review.

ABSTRACT: Bladder cancer (BC) diagnosis and prediction of prognosis are hindered by subjective pathological evaluation, which may cause misdiagnosis and under-/over-treatment. Computational pathology (CPATH) can identify clinical outcome predictors, offering an objective approach to improve prognosis. However, a systematic review of CPATH in BC literature is lacking. Therefore, we present a comprehensive overview of studies that used CPATH in BC, analyzing 33 out of 2285 identified studies. Most studies analyzed regions of interest to distinguish normal versus tumor tissue and identify tumor grade/stage and tissue types (e.g., urothelium, stroma, and muscle). The cell's nuclear area, shape irregularity, and roundness were the most promising markers to predict recurrence and survival based on selecte

SUBMITTER: Khoraminia F 

PROVIDER: S-EPMC10526515 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature