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External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts

  • Madhav Desai
  • , Kevin Kennedy
  • , Hiroyuki Aihara
  • , Jacques Van Dam
  • , Seth Gross
  • , Gregory Haber
  • , Heiko Pohl
  • , Douglas Rex
  • , John Saltzman
  • , Amrita Sethi
  • , Irving Waxman
  • , Kenneth Wang
  • , Michael Wallace
  • , Alessandro Repici
  • , Prateek Sharma

Research output: Contribution to journalArticlepeer-review

Abstract

Background and Aim: Recently, the BLI Adenoma Serrated International Classification (BASIC) system was developed by European experts to differentiate colorectal polyps. Our aim was to validate the BASIC classification system among the US-based endoscopy experts. Methods: Participants utilized a web-based interactive learning system where the group was asked to characterize polyps using the BASIC criteria: polyp surface (presence of mucus, regular/irregular and [pseudo]depressed), pit appearance (featureless, round/non-round with/without dark spots; homogeneous/heterogeneous distribution with/without focal loss), and vessels (present/absent, lacy, peri-cryptal, irregular). The final testing consisted of reviewing BLI images/videos to determine whether the criteria accurately predicted the histology results. Confidence in adenoma identification (rated “1” to “5”) and agreement in polyp (adenoma vs non-adenoma) identification and characterization per BASIC criteria were derived. Strength of interobserver agreement with kappa (k) value was reported for adenoma identification. Results: Ten endoscopy experts from the United States identified conventional adenoma (vs non-adenoma) with 94.4% accuracy, 95.0% sensitivity, 93.8% specificity, 93.8% positive predictive value, and 94.9% negative predictive value using BASIC criteria. Overall strength of interobserver agreement was high: kappa 0.89 (0.82–0.96). Agreement for the individual criteria was as follows: surface mucus (93.8%), regularity (65.6%), type of pit (40.6%), pit visibility (66.9%), pit distribution (57%), vessel visibility (73%), and being lacy (46%) and peri-cryptal (61%). The confidence in diagnosis was rated at high ≥4 in 67% of the cases. Conclusions: A group of US-based endoscopy experts have validated a simple and easily reproducible BLI classification system to characterize colorectal polyps with >90% accuracy and a high level of interobserver agreement.

Original languageEnglish (US)
Pages (from-to)2728-2734
Number of pages7
JournalJournal of Gastroenterology and Hepatology (Australia)
Volume36
Issue number10
DOIs
StatePublished - Oct 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd

Keywords

  • blue light imaging
  • colon polyps
  • image-enhanced endoscopy

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