Endoscopy
DOI: 10.1055/a-2663-7661
Original article

Computer-assisted optical diagnosis of colorectal polyps up to 10 mm

Authors

  • Megan Oleksiw

    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Mahsa Taghiakbari

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Roupen Djinbachian

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Heiko Pohl

    3   Gastroenterology, Dartmouth Hitchcock Medical Center, Lebanon, United States (Ringgold ID: RIN22916)
    4   Gastroenterology, VA Medical Center, White River Junction, United States
  • Alan Barkun

    5   Division of Gastroenterology, McGill University Health Centre, Montreal, Canada (Ringgold ID: RIN54473)
  • Douglas K. Rex

    6   Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, United States (Ringgold ID: RIN12250)
  • Benoit Panzini

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
  • Simon Bouchard

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
  • Dina Lasfar

    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Bilal Amani

    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Delphine Dubois

    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Yousr Jalal

    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Mikael Bouin

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada
  • Daniel von Renteln

    2   Gastroenterology, Centre hospitalier de l'Université de Montréal (CHUM), Montreal, Canada
    1   Gastroenterology, Montreal University Hospital Research Center, Montreal, Canada

Supported by: Fujifilm Europe CER21.305


Graphical Abstract

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Abstract

Background

Computer-aided diagnosis (CADx) of colorectal polyps during colonoscopy could replace pathology for certain polyps. This study aimed to evaluate CADx-assisted optical diagnosis for polyps of ≤10 mm in the context of established quality benchmarks.

Methods

We performed a post-hoc analysis of a randomized controlled trial evaluating assistive versus autonomous computer-aided optical diagnosis. Our primary outcome was achievement of the American Society for Gastrointestinal Endoscopy PIVI1 threshold for resect-and-discard implementation when CADx was used for polyps ≤3 mm. Secondary outcomes included PIVI1 threshold achievement when using CADx with a size cutoff of ≤5 mm and ≤10 mm, as well as diagnostic performance and prevalence of advanced histology across the polyp size groups.

Results

We included 313 patients with a total of 463 polyps of ≤10 mm undergoing optical diagnosis with CADx assistance. Compared with pathology-based intervals, surveillance interval agreement was 94.6% (95%CI 91.3%–96.7%), 89.5% (95%CI 85.4%–92.5%), and 85.9% (95%CI 81.5%–89.5%) when CADx was used with size cutoffs ≤3 mm, ≤5 mm, and ≤10 mm, respectively. The diagnostic accuracy of CADx-assisted optical diagnosis was 76.2%, 76.6%, and 72.5% for polyps sized ≤3 mm, >3 to ≤5 mm, and >5 to ≤10 mm, respectively. The negative predictive value for rectosigmoid adenomas was >90% for all size groups (PIVI2). The prevalence of advanced or serrated pathology was higher in polyps >3 mm, which resulted in a higher number of incorrectly assigned surveillances intervals.

Conclusions

In our study, CADx-assisted optical diagnosis met the resect-and-discard PIVI1 threshold only with a size cutoff of ≤3 mm, and the diagnose-and-leave PIVI2 threshold for polyps ≤10 mm.

Supplementary Material



Publication History

Received: 27 January 2025

Accepted after revision: 22 July 2025

Accepted Manuscript online:
23 July 2025

Article published online:
22 September 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

 
  • References

  • 1 Kaltenbach T, Rastogi A, Rouse RV. et al. Real-time optical diagnosis for diminutive colorectal polyps using narrow-band imaging: the VALID randomised clinical trial. Gut 2015; 64: 1569-1577
  • 2 McGill SK, Evangelou E, Ioannidis JPA. et al. Narrow band imaging to differentiate neoplastic and non-neoplastic colorectal polyps in real time: a meta-analysis of diagnostic operating characteristics. Gut 2013; 62: 1704-1713
  • 3 Abu Dayyeh BK, Thosani N, Konda V. et al. ASGE Technology Committee systematic review and meta-analysis assessing the ASGE PIVI thresholds for adopting real-time endoscopic assessment of the histology of diminutive colorectal polyps. Gastrointest Endosc 2015; 81: 502.e1-502.e16
  • 4 Houwen BBSL, Hassan C, Coupé VMH. et al. Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2022; 54: 88-99
  • 5 Rees CJ, Rajasekhar PT, Wilson A. et al. Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study. Gut 2017; 66: 887-895
  • 6 Rex DK. It’s not lack of evidence holding back resect and discard. Gastrointest Endosc 2022; 96: 1033-1035
  • 7 Rondonotti E, Hassan C, Tamanini G. et al. Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study. Endoscopy 2023; 55: 14-22
  • 8 Lieberman D, Moravec M, Holub J. et al. Polyp size and advanced histology in patients undergoing colonoscopy screening: implications for CT colonography. Gastroenterology 2008; 135: 1100-1105
  • 9 Butterly LF, Chase MP, Pohl H. et al. Prevalence of clinically important histology in small adenomas. Clin Gastroenterol Hepatol 2006; 4: 343-348
  • 10 Schachschal G, Mayr M, Treszl A. et al. Endoscopic versus histological characterisation of polyps during screening colonoscopy. Gut 2014; 63: 458-465
  • 11 Ignjatovic A, East JE, Suzuki N. et al. Optical diagnosis of small colorectal polyps at routine colonoscopy (Detect InSpect ChAracterise Resect and Discard; DISCARD trial): a prospective cohort study. Lancet Oncol 2009; 10: 1171-1178
  • 12 Kuiper T, Marsman WA, Jansen JM. et al. Accuracy for optical diagnosis of small colorectal polyps in nonacademic settings. Clin Gastroenterol Hepatol 2012; 10: 1016-1020
  • 13 Taghiakbari M, Pohl H, Djinbachian R. et al. What size cutoff level should be used to implement optical polyp diagnosis?. Endoscopy 2022; 54: 1182-1190
  • 14 Djinbachian R, El Yamani MEM, Rex DK. et al. Using computer-aided optical diagnosis and expert review to evaluate colorectal polyps diagnosed as normal mucosa in pathology. Clin Gastroenterol Hepatol 2024; 22: 2344-2346
  • 15 Ahmad A, Moorghen M, Wilson A. et al. Implementation of optical diagnosis with a “resect and discard” strategy in clinical practice: DISCARD3 study. Gastrointest Endosc 2022; 96: 1021-1032.e2
  • 16 Djinbachian R, Haumesser C, Taghiakbari M. et al. Autonomous artificial intelligence vs artificial intelligence–assisted human optical diagnosis of colorectal polyps: a randomized controlled trial. Gastroenterology 2024; 167: 392-399.e2
  • 17 Molmenti CL, Kolb JM, Karlitz JJ. Advanced colorectal polyps on colonoscopy: a trigger for earlier screening of family members. Am J Gastroenterol 2020; 115: 311-314
  • 18 Puig I, Kaltenbach T. Optical diagnosis for colorectal polyps: a useful technique now or in the future?. Gut Liver 2018; 12: 385-392
  • 19 Gupta S, Lieberman D, Anderson JC. et al. Recommendations for follow-up after colonoscopy and polypectomy: a consensus update by the US Multi-Society Task Force on Colorectal Cancer. Gastroenterology 2020; 158: 1131-1153.e5
  • 20 Hardin JW, Hilbe JM. Generalized estimating equations. 2nd edn. New York: Chapman and Hall; 2012
  • 21 R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing. 2025
  • 22 Trovato A, Turshudzhyan A, Tadros M. Serrated lesions: a challenging enemy. World J Gastroenterol 2021; 27: 5625-5629
  • 23 von Renteln D, Kaltenbach T, Rastogi A. et al. Simplifying resect and discard strategies for real-time assessment of diminutive colorectal polyps. Clin Gastroenterol Hepatol 2018; 16: 706-714
  • 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 Hassan C, Antonelli G, Dumonceau JM. et al. Post-polypectomy colonoscopy surveillance: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2020. Endoscopy 2020; 52: 687-700
  • 26 Facciorusso A, Di Maso M, Serviddio G. et al. Factors associated with recurrence of advanced colorectal adenoma after endoscopic resection. Clin Gastroenterol Hepatol 2016; 14: 1148-1154.e4
  • 27 Brenner H, Hoffmeister M, Stegmaier C. et al. Risk of progression of advanced adenomas to colorectal cancer by age and sex: estimates based on 840 149 screening colonoscopies. Gut 2007; 56: 1585-1589
  • 28 Zhang QW, Zhang Z, Xu J. et al. Multi-step validation of a deep learning-based system with visual explanations for optical diagnosis of polyps with advanced features. iScience 2024; 27: 109461
  • 29 Shahidi N, Rex DK, Kaltenbach T. et al. Use of endoscopic impression, artificial intelligence, and pathologist interpretation to resolve discrepancies between endoscopy and pathology analyses of diminutive colorectal polyps. Gastroenterology 2020; 158: 783-785.e1
  • 30 Ponugoti P, Rastogi A, Kaltenbach T. et al. Disagreement between high confidence endoscopic adenoma prediction and histopathological diagnosis in colonic lesions ≤3 mm in size. Endoscopy 2019; 51: 221-226
  • 31 Taghiakbari M, Djinbachian R, Haumesser. et al. Measuring size of colorectal polyps using a virtual scale endoscope or visual assessment: a randomized controlled trial. Am J Gastroeneterol 2024; 119: 1309-1317
  • 32 Sudarevic B, Sodmann P, Kafetzis. et al. Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference. Endoscopy 2023; 55: 871-876
  • 33 Taghiakbari M, Djinbachian R, Labelle J. et al. Endoscopic size measurement of colorectal polyps: a systematic review of techniques. Endoscopy 2025; 57: 460-477
  • 34 Vleugels JLA, Hassan C, Senore C. et al. Diminutive polyps with advanced histologic features do not increase risk for metachronous advanced colon neoplasia. Gastroenterology 2019; 156: 623-634.e3