Optical diagnosis of colorectal polyps using novel blue light imaging classification among trainee endoscopists

Christopher Koehn, Douglas K. Rex, Jimmy Allen, Umer Bhatti, Indira Bhavsar-Burke, Viveksandeep Thoguluva Chandrasekar, Abhishek Challa, Abhiram Duvvuri, Lara Dakhoul, John Ha, Nour Hamade, S. Bradley Hicks, Claire Jansson-Knodell, Edward Krajicek, Shanker Das Kundumadam, Venkat Nutalapati, Parkpoom “Peter” Phatharacharukul, Shadi Razmdjou, Akira Saito, Fayez SarkisRichard Sutton, Antonios Wehbeh, Prateek Sharma, Madhav Desai

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Background: Blue light imaging (BLI) has been shown to improve the characterization of colorectal polyps among the endoscopy experts. We aimed to determine if this technology could be taught to endoscopy trainees while maintaining high accuracy and interobserver agreement. Methods: Twenty-one gastroenterology trainees (fellows) from two academic institutions participated in this prospective study. Each trainee completed a web-based learning comprising four modules: pre-test, didactic videos explaining the BLI Adenoma Serrated International Classification (BASIC), interactive examples, and post-test assessment. The pre- and post-test modules consisted of reviewing video images of colon polyps in high definition white light imaging and BLI and then applying the BASIC classification to determine if the polyps were likely to be adenomatous. Confidence in adenoma identification (rated ‘1’ to ‘5’), accuracy in polyp (adenoma vs. non-adenoma) identification, and agreement in characterization per BASIC criteria were derived. Results: Trainee accuracy in the adenoma diagnosis improved from 74.7% (pre-test) to 85.4% (post-test) (P < 0.01). There was a trend towards higher accuracy in polyp characterization with subsequent years of training (1st year fellows 77.4%, 2nd year 88.5%, and final year 94.0%) with consistent improvements after the e-learning across years of trainees. Overall, trainees were able to identify adenoma with a high sensitivity of 86.9%, specificity 83.9%, positive predictive value of 84.4%, and negative predictive value of 86.5%. However, their interobserver agreement in adenoma diagnosis was moderate (k = 0.52). Conclusion: The novel BLI classification can be easily taught to gastroenterology trainees using an online module and accuracy improves with years of training reaching >90% for colorectal polyp characterization.

Original languageEnglish (US)
Pages (from-to)191-197
Number of pages7
JournalDigestive Endoscopy
Issue number1
StatePublished - Jan 2022
Externally publishedYes

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© 2021 Japan Gastroenterological Endoscopy Society


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