P3276 - Diagnostic Accuracy of Artificial Intelligence in the Diagnosis of Intestinal Metaplasia and Dysplasia in Patients With Barrett’s Esophagus: A Diagnostic Test Accuracy Meta-Analysis

Kayla Dadgar, MD¹, Lauren Mais, MBBS, MD¹, Stephanie Sanger, BA, MLIS², Mohammad Yaghoobi, MD^1
1McMaster University, Hamilton, ON, Canada; ²Health Science Library, McMaster University, Hamilton, ON, Canada

Introduction: Diagnosing dysplasia in patients with Barrett’s esophagus is crucial in preventing esophageal cancer but challenging in clinical practice. Artificial Intelligence (AI) could potentially provide better diagnostic accuracy.

Methods: A comprehensive electronic search was conducted of cross-sectional studies examining the accuracy of AI in diagnosing intestinal metaplasia or dysplasia. Study selection, data extraction and quality assessment were completed by two authors independently. When a study used several models, the model with the highest sensitivity was used in meta-analysis. QUADAS-2 was used to assess risk of bias and applicability. Meta-analysis was performed using a bivariate model to obtain summary estimates of sensitivity, specificity, and diagnostic odds ratio.

Results: Twenty-five (25) out of 1479 articles were included. The diagnosis of intestinal metaplasia by AI algorithms had a sensitivity, specificity, and diagnostic odds ratio of 0.95 (CI 0.76-0.99), 0.96 (CI 0.60-0.99), and 394.05 (CI -102.36-890.45) respectively. The diagnosis of dysplasia compared to intestinal metaplasia by AI algorithms had a sensitivity, specificity, and diagnostic odds ratio of 0.91 (CI 0.88-0.94), 0.88 (CI 0.81-0.92), and 74.24 (CI -28.10-120.37) respectively. A sensitivity analysis by removing the largest studies did not change the overall accuracy of AI.

Discussion: AI algorithms seem to be accurate at detecting the presence of intestinal metaplasia and dysplasia. Future studies should evaluate the use of AI in combination with endoscopist opinion as this technology could be utilized as a clinical decision tool to better target biopsies for dysplasia.


Disclosures:


Kayla Dadgar, MD¹, Lauren Mais, MBBS, MD¹, Stephanie Sanger, BA, MLIS², Mohammad Yaghoobi, MD¹. P3276 - Diagnostic Accuracy of Artificial Intelligence in the Diagnosis of Intestinal Metaplasia and Dysplasia in Patients With Barrett’s Esophagus: A Diagnostic Test Accuracy Meta-Analysis, ACG 2023 Annual Scientific Meeting Abstracts. Vancouver, BC, Canada: American College of Gastroenterology.