Effectiveness of artificial intelligence assisted colonoscopy on adenoma and polyp miss rate: A meta-analysis of tandem RCTs

  • M. Maida*
  • , G. Marasco
  • , M. H.J. Maas
  • , D. Ramai
  • , M. Spadaccini
  • , E. Sinagra
  • , A. Facciorusso
  • , P. D. Siersema
  • , C. Hassan
  • *Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

15 Citations (Scopus)
11 Downloads (Pure)

Abstract

Background and aims: One-fourth of colorectal neoplasia is missed at screening colonoscopy, representing the leading cause of interval colorectal cancer (I-CRC). This systematic review and meta-analysis summarizes the efficacy of computer-aided colonoscopy (CAC) compared to white-light colonoscopy (WLC) in reducing lesion miss rates. Methods: Major databases were systematically searched through May 2024 for tandem-design RCTs comparing lesion miss rates in CAC-first followed by WLC vs WLC-first followed by CAC. The primary outcomes were adenoma miss rate (AMR) and polyp miss rate (PMR). The secondary outcomes were advanced AMR (aAMR) and sessile serrated lesion miss rate (SMR). Results: Six RCTs (1718 patients) were included. AMR was significantly lower for CAC compared to WLC (RR = 0.46; 95 %CI [0.38–0.55]; P < 0.001). PMR was also lower for CAC compared to WLC (RR = 0.44; 95 %CI [0.33–0.60]; P < 0.001). No significant difference in aAMR (RR = 1.28; 95 %CI [0.34–4.83]; P = 0.71) and SMR (RR = 0.44; 95 %CI [0.15–1.28]; P = 0.13) were observed. Sensitivity analysis including only RCTs performed in CRC screening and surveillance setting confirmed lower AMR (RR = 0.48; 95 %CI [0.39–0.58]; P < 0.001) and PMR (RR = 0.50; 95 %CI [0.37–0.66]; P < 0.001), also showing significantly lower SMR (RR = 0.28; 95 %CI [0.11–0.70]; P = 0.007) for CAC compared to WLC. Conclusions: CAC results in significantly lower AMR and PMR compared to WLC overall, and significantly lower AMR, PMR and SMR in the screening/surveillance setting, potentially reducing the incidence of I-CRC.

Original languageEnglish
Pages (from-to)169-175
Number of pages7
JournalDigestive and Liver Disease
Volume57
Issue number1
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Publisher Copyright: © 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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