Subscribe to RSS
DOI: 10.1055/a-2328-2844
A computer-aided detection system in the everyday setting of diagnostic, screening, and surveillance colonoscopy: an international, randomized trial
PENTAX MedicalTrial Registration: Uniform Trial Number (http://www.who.int/ictrp/unambiguous_identification/en/) Registration number (trial ID): NL9135 Type of study: Prospective, Randomized, Multicenter study
Abstract
Background Computer-aided detection (CADe) has been developed to improve detection during colonoscopy. After initial reports of high efficacy, there has been an increasing recognition of variability in the effectiveness of CADe systems. The aim of this study was to evaluate a CADe system in a varied colonoscopy population.
Methods A multicenter, randomized trial was conducted at seven hospitals (both university and non-university) in Europe and Canada. Participants referred for diagnostic, non-immunochemical fecal occult blood test (iFOBT) screening, or surveillance colonoscopy were randomized (1:1) to undergo CADe-assisted or conventional colonoscopy by experienced endoscopists. Participants with insufficient bowel preparation were excluded from the analysis. The primary outcome was adenoma detection rate (ADR). Secondary outcomes included adenomas per colonoscopy (APC) and sessile serrated lesions (SSLs) per colonoscopy.
Results 581 participants were enrolled, of whom 497 were included in the final analysis: 250 in the CADe arm and 247 in the conventional colonoscopy arm. The indication was surveillance in 202/497 colonoscopies (40.6 %), diagnostic in 199/497 (40.0 %), and non-iFOBT screening in 96/497 (19.3 %). Overall, ADR (38.4 % vs. 37.7 %; P = 0.43) and APC (0.66 vs. 0.66; P = 0.97) were similar between CADe and conventional colonoscopy. SSLs per colonoscopy was increased (0.30 vs. 0.19; P = 0.049) in the CADe arm vs. the conventional colonoscopy arm.
Conclusions In this study conducted by experienced endoscopists, CADe did not result in a statistically significant increase in ADR. However, the ADR of our control group substantially surpassed our sample size assumptions, increasing the risk of an underpowered trial.
Publication History
Received: 10 February 2024
Accepted after revision: 15 May 2024
Accepted Manuscript online:
15 May 2024
Article published online:
27 June 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Zhao S, Wang S, Pan P. et al. Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: a systematic review and meta-analysis. Gastroenterology 2019; 156: 1661-1674.e1611
- 2 Kaminski MF, Regula J, Kraszewska E. et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med 2010; 362: 1795-1803
- 3 Kaminski MF, Thomas-Gibson S, Bugajski M. et al. Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) quality improvement initiative. United European Gastroenterol J 2017; 5: 309-334
- 4 Corley DA, Jensen CD, Marks AR. et al. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 2014; 370: 1298-1306
- 5 Hassan C, Spadaccini M, Mori Y. et al. Real-time computer-aided detection of colorectal neoplasia during colonoscopy: a systematic review and meta-analysis. Ann Intern Med 2023; 176: 1209-1220
- 6 Ladabaum U, Shepard J, Weng Y. et al. Computer-aided detection of polyps does not improve colonoscopist performance in a pragmatic implementation trial. Gastroenterology 2023; 164: 481-483.e486
- 7 Levy I, Bruckmayer L, Klang E. et al. Artificial intelligence-aided colonoscopy does not increase adenoma detection rate in routine clinical practice. Am J Gastroenterol 2022; 117: 1871-1873
- 8 Schlemper RJ, Riddell RH, Kato Y. et al. The Vienna classification of gastrointestinal epithelial neoplasia. Gut 2000; 47: 251-255
- 9 Wang P, Berzin TM, Glissen Brown JR. et al. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut 2019; 68: 1813-1819
- 10 Repici A, Spadaccini M, Antonelli G. et al. Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut 2022; 71: 757-765
- 11 Rondonotti E, Di Paolo D, Rizzotto ER. et al. Efficacy of a computer-aided detection system in a fecal immunochemical test-based organized colorectal cancer screening program: a randomized controlled trial (AIFIT study). Endoscopy 2022; 54: 1171-1179
- 12 Shaukat A, Lichtenstein DR, Somers SC. et al. Computer-aided detection improves adenomas per colonoscopy for screening and surveillance colonoscopy: a randomized trial. Gastroenterology 2022; 163: 732-741
- 13 Gimeno-Garcia AZ, Hernandez Negrin D, Hernandez A. et al. Usefulness of a novel computer-aided detection system for colorectal neoplasia: a randomized controlled trial. Gastrointest Endosc 2023; 97: 528-536.e521
- 14 Kamba S, Tamai N, Saitoh I. et al. Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial. J Gastroenterol 2021; 56: 746-757
- 15 Karsenti D, Tharsis G, Perrot B. et al. Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial. Lancet Gastroenterol Hepatol 2023; 8: 726-734
- 16 Repici A, Badalamenti M, Maselli R. et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology 2020; 159: 512-520.e517
- 17 Wei MT, Shankar U, Parvin R. et al. Evaluation of computer-aided detection during colonoscopy in the community (AI-SEE): a multicenter randomized clinical trial. Am J Gastroenterol 2023; 118: 1841-1847
- 18 Taghiakbari M, Coman DE, Takla M. et al. Measuring the observer (Hawthorne) effect on adenoma detection rates. Endosc Int Open 2023; 11: E908-E919
- 19 Xu H, Tang RSY, Lam TYT. et al. Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial. Clin Gastroenterol Hepatol 2023; 21: 337-346.e333
- 20 Rex DK, Schoenfeld PS, Cohen J. et al. Quality indicators for colonoscopy. Gastrointest Endosc 2015; 81: 31-53
- 21 Desai M, Rex DK, Bohm ME. et al. Impact of withdrawal time on adenoma detection rate: results from a prospective multicenter trial. Gastrointest Endosc 2023; 97: 537-543.e532
- 22 Lee TJ, Blanks RG, Rees CJ. et al. Longer mean colonoscopy withdrawal time is associated with increased adenoma detection: evidence from the Bowel Cancer Screening Programme in England. Endoscopy 2013; 45: 20-26
- 23 Ahmad A, Wilson A, Haycock A. et al. Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study. Endoscopy 2023; 55: 313-319
- 24 Mangas-Sanjuan C, de-Castro L, Cubiella J. et al. Role of artificial intelligence in colonoscopy detection of advanced neoplasias: a randomized trial. Ann Intern Med 2023; 176: 1145-1152
- 25 Edwardson N, Adsul P, Gonzalez Z. et al. Sessile serrated lesion detection rates continue to increase: 2008–2020. Endosc Int Open 2023; 11: E107-E116
- 26 Erichsen R, Baron JA, Hamilton-Dutoit SJ. et al. Increased risk of colorectal cancer development among patients with serrated polyps. Gastroenterology 2016; 150: 895-902.e895
- 27 Anderson JC, Rex DK, Mackenzie TA. et al. Higher serrated polyp detection rates are associated with lower risk of postcolonoscopy colorectal cancer: data from the New Hampshire Colonoscopy Registry. Am J Gastroenterol 2023; 118: 1927-1930
- 28 Shaukat A, Colucci D, Erisson L. et al. Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device. Endosc Int Open 2021; 9: E263-E270
- 29 Vennelaganti S, Cuatrecasas M, Vennalaganti P. et al. Interobserver agreement among pathologists in the differentiation of sessile serrated from hyperplastic polyps. Gastroenterology 2021; 160: 452-454.e451
- 30 Almansa C, Shahid MW, Heckman MG. et al. Association between visual gaze patterns and adenoma detection rate during colonoscopy: a preliminary investigation. Am J Gastroenterol 2011; 106: 1070-1074