Integration of Endocuff-Assisted and Computer-Aided Colonoscopy: A Meta-Analysis of Randomized Controlled Trials.

ABSTRACT:

Introduction

Colorectal cancer (CRC) is a leading cause of cancer-related deaths, with missed lesions during colonoscopy contributing to increased mortality. AI-assisted computer-aided detection (CADe) systems help reduce adenoma miss rates, and their integration with mucosal exposure devices like EndoCuff vision may enhance detection. This meta-analysis assesses the effectiveness of combining CADe and EndoCuff vision-assisted colonoscopy (EAC) compared to standard colonoscopy or CADe alone.

Methods

A comprehensive literature search was conducted in MEDLINE, Embase, and clinicaltrials.gov up to November 2024. Only randomized controlled trials (RCTs) comparing CADe+EAC with CADe alone or standard colonoscopy and reporting adenoma detection rate (ADR) were included. Statistica

SUBMITTER: Akram U 

PROVIDER: S-EPMC12906277 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature