Clinical evaluation of a real-time artificial intelligence-based polyp detection system: a US multi-center pilot study

Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has been significant interest in its use within gastrointestinal endoscopy. Computer-aided detection (CAD) can potentially improve polyp detection rates and decrease miss rates in colonoscopy. However, few clin...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2022-04, Vol.12 (1), p.6598-7, Article 6598
Main Authors: Quan, Susan Y., Wei, Mike T., Lee, Jun, Mohi-Ud-Din, Raja, Mostaghim, Radman, Sachdev, Ritu, Siegel, David, Friedlander, Yishai, Friedland, Shai
Format: Article
Language:English
Subjects:
692/4020/1394
692/4020/1503/1504
Adenoma
Adenoma - diagnosis
Artificial Intelligence
Colon
Colonic Polyps - diagnosis
Colonoscopy
Colonoscopy - methods
Colorectal Neoplasms - diagnosis
Endoscopy
Humanities and Social Sciences
Humans
Hydrolases
multidisciplinary
Patients
Pilot Projects
Polyps
Prospective Studies
Science
Science (multidisciplinary)
Statistical analysis
Tumors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has been significant interest in its use within gastrointestinal endoscopy. Computer-aided detection (CAD) can potentially improve polyp detection rates and decrease miss rates in colonoscopy. However, few clinical studies have evaluated real-time CAD during colonoscopy. In this study, we analyze the efficacy of a novel real-time CAD system during colonoscopy. This was a single-arm prospective study of patients undergoing colonoscopy with a real-time CAD system. This AI-based system had previously been trained using manually labeled colonoscopy videos to help detect neoplastic polyps (adenomas and serrated polyps). In this pilot study, 300 patients at two centers underwent elective colonoscopy with the CAD system. These results were compared to 300 historical controls consisting of consecutive colonoscopies performed by the participating endoscopists within 12 months prior to onset of the study without the aid of CAD. The primary outcome was the mean number of adenomas per colonoscopy. Use of real-time CAD trended towards increased adenoma detection (1.35 vs 1.07, p = 0.099) per colonoscopy though this did not achieve statistical significance. Compared to historical controls, use of CAD demonstrated a trend towards increased identification of serrated polyps (0.15 vs 0.07) and all neoplastic (adenomatous and serrated) polyps (1.50 vs 1.14) per procedure. There were significantly more non-neoplastic polyps detected with CAD (1.08 vs 0.57, p 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-10597-y