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Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists

Bing Li, Yanjun Du, Weimin Tan, Dong-Li He, Zhipeng Qi, Hon-Ho Yu, Qiang Shi, Zhong Ren, Ming‐Yan Cai, Bo Yan, Shi‐Lun Cai, Yunshi Zhong

2025npj Digital Medicine8 citationsDOIOpen Access PDF

Abstract

A computer-aided detection (CAD) system for early esophagus carcinoma identification during endoscopy with narrow-band imaging (NBI) was evaluated in a large-scale, prospective, tandem, randomized controlled trial to assess its effectiveness. The study was registered at the Chinese Clinical Trial Registry (ChiCTR2100050654, 2021/09/01). Involving 3400 patients were randomly assigned to either routine (routine-first) or CAD-assisted (CAD-first) NBI endoscopy, followed by the other procedure, with targeted biopsies taken at the end of the second examination. The primary outcome was the diagnosis of 1 or more neoplastic lesion of esophagus during the first examination. The CAD-first group demonstrated a significantly higher neoplastic lesion detection rate (3.12%) compared to the routine-first group (1.59%) with a relative detection ratio of 1.96 (P = 0.0047). Subgroup analysis revealed a higher detection rate in junior endoscopists using CAD-first, while no significant difference was observed for senior endoscopists. The CAD system significantly improved esophageal neoplasm detection, particularly benefiting junior endoscopists.

Topics & Concepts

MedicineSet (abstract data type)RadiologyComputer scienceProgramming languageEsophageal Cancer Research and TreatmentLung Cancer Diagnosis and TreatmentGastric Cancer Management and Outcomes
Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists | Litcius