Combination of artificial intelligence‐based endoscopy and miR148a methylation for gastric indefinite dysplasia diagnosis. Issue 1 (22nd November 2021)

• Record Type: Journal Article
• Authors: Watanabe, Yoshiyuki; Oikawa, Ritsuko; Agawa, Shuhei; Matsuo, Yasumasa; Oda, Ichiro; Futagami, Seiji; Yamamoto, Hiroyuki; Tada, Tomohiro; Itoh, Fumio
• Is Part Of: Journal of clinical laboratory analysis. Volume 36:Issue 1(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-11-22
• Subjects: artificial intelligence -- endoscopy -- DNA methylation -- gastric indefinite dysplasia -- gastric cancer -- endoscopy -- molecular markers; Diagnosis, Laboratory -- Periodicals; Medical laboratory technology -- Periodicals; 616
• DOI: 10.1002/jcla.24122
• Languages: English
• ISSNs: 0887-8013

Abstract

Abstract: Background and Aim: Gastrointestinal endoscopy and biopsy‐based pathological findings are needed to diagnose early gastric cancer. However, the information of biopsy specimen is limited because of the topical procedure; therefore, pathology doctors sometimes diagnose as gastric indefinite for dysplasia (GIN). Methods: We compared the accuracy of physician‐performed endoscopy (trainee, n = 3; specialists, n = 3), artificial intelligence (AI)‐based endoscopy, and/or molecular markers (DNA methylation: BARHL2, MINT31, TET1, miR‐148a, miR‐124a‐3, NKX6‐1; mutations: TP53; and microsatellite instability) in diagnosing GIN lesions. We enrolled 24, 388 patients who underwent endoscopy, and 71 patients were diagnosed with GIN lesions. Thirty‐two cases of endoscopic submucosal dissection (ESD) in 71 GIN lesions and 32 endoscopically resected tissues were assessed by endoscopists, AI, and molecular markers to identify benign or malignant lesions. Results: The board‐certified endoscopic physicians group showed the highest accuracy in the receiver operative characteristic curve (area under the curve [AUC]: 0.931), followed by a combination of AI and miR148a DNA methylation (AUC: 0.825), and finally trainee endoscopists (AUC: 0.588). Conclusion: AI with miR148s DNA methylation‐based diagnosis is a potential modality for diagnosing GIN. Abstract : This study aimed to compare and evaluate the diagnostic sensitivity and specificity of physician‐performed endoscopy, AI‐based endoscopy, and/or molecular markers in detecting gastrointestinal neoplasms (GIN). We believe that our study makes a significant contribution to the literature because despite the availability of both endoscopic and histologic diagnosis, differentiating between a benign and malignant lesions is still challenging; some lesions are classified indeterminately as GIN. AI diagnosis is gaining popularity because it enables the non‐invasive diagnosis of the presence, site, and extent of lesions. Further, we believe that this paper will be of interest to the readership of your journal because we observed that the accuracy for GIN diagnosis from the combination of miR‐148a and AI was high.