Spots Global Cancer Trial Database for Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology

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Trial Identification

Brief Title: Diagnostic Efficiency of Artificial Intelligence for Surgical Neuropathology

Official Title: A Multi-center, Prospective, Self-Controlled Diagnostic Accuracy Comparative Studies of Artificial Intelligence Diagnostic System for Surgical Neuropathology

Study ID: NCT04671368

Conditions

Central Nervous System Neoplasms

Interventions

Artificial Intelligence

Practicing Pathologists

Gold Standard

Study Description

Brief Summary: This is a multi-center, prospective, self-controlled, diagnostic accuracy comparative study of Artificial Intelligence Diagnostic System for Surgical Neuropathology. The investigators will compare the diagnostic efficiency of Artificial Intelligence with that of practicing pathologists, and suppose that the diagnostic efficiency of artificial intelligence in prospective clinical data is no less than that of pathologists.

Detailed Description: In this study, 141 patients will be recruited. After being enrolled, the patients will accept surgery and specimens for pathological analysis will be taken according to the routine treatment process. The histopathologic slides will then be digitized by a whole-slide scanner. The images will be reviewed by gold standard committee for evaluation of ground truth. And then be separately diagnosed by Artificial Intelligence Diagnostic System and practicing pathologists. So the investigators can compare the diagnostic efficiency of Artificial Intelligence with that of pathologists, thus understand the gap between artificial intelligence and actual clinical practice.