Performance of a novel computer‐aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy

Autor: Ejaz Hossain, Mohamed Abdelrahim, Andrea Tanasescu, Masayoshi Yamada, Hiroko Kondo, Shijemi Yamada, Ryuji Hamamoto, Atsushi Marugame, Yutaka Saito, Pradeep Bhandari
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: DEN Open, Vol 3, Iss 1, Pp n/a-n/a (2023)
Druh dokumentu: article
ISSN: 2692-4609
DOI: 10.1002/deo2.178
Popis: Abstract Background and aims There has been an increasing role of artificial intelligence (AI) in the characterization of colorectal polyps. Recently, a novel AI algorithm for the characterization of polyps was developed by NEC Corporation (Japan). The aim of our study is to perform an external validation of this algorithm. Methods The study was a video‐based evaluation of the computer‐aided diagnosis (CADx) system. Patients undergoing colonoscopy were recruited to record videos of colonic polyps. The frozen polyp images extracted from these videos were used for real‐time histological prediction by the endoscopists and by the CADx system, and the results were compared. Results A total of 115 polyp images were extracted from 66 patients. Sensitivity, negative predictive value and accuracy for diminutive polyps on white light imaging (WLI) and image‐enhanced endoscopy (IEE) when assessed by CADx was 90.9% [95% confidence interval (CI) 77.3–100] and 95.8% [95% CI 87.5–100], 80% [95% CI 44.4–97.5] and 90.9% [95% CI 58.7–99.8], 84.8% [95% CI 72.7‐97] and 84.6% [95%CI 71.8‐94.9], respectively, compared to 48.1% [95%CI 37.7–59.1] and 72% [95% CI 62.5–81], 37.5% [95% CI 28.8–46.8] and 55% [95% CI 44.7–65.0], 53.7% [95% CI 44.2–63.2] and 66.7% [95% CI 59.7–73.3] when assessed by endoscopists. Concordance between histology and CADx‐based post‐polypectomy surveillance intervals was 93.02% on WLI and 96% on IEE. Conclusion AI‐based optical diagnosis is promising and has the potential to be better than the performance of general endoscopists. We believe that AI can help make real‐time optical diagnoses of polyps meeting the Preservation and Incorporation of Valuable endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy.
Databáze: Directory of Open Access Journals
Externí odkaz: