TY - JOUR
T1 - Optical diagnosis of colorectal polyps using novel blue light imaging classification among trainee endoscopists
AU - Koehn, Christopher
AU - Rex, Douglas K.
AU - Allen, Jimmy
AU - Bhatti, Umer
AU - Bhavsar-Burke, Indira
AU - Thoguluva Chandrasekar, Viveksandeep
AU - Challa, Abhishek
AU - Duvvuri, Abhiram
AU - Dakhoul, Lara
AU - Ha, John
AU - Hamade, Nour
AU - Hicks, S. Bradley
AU - Jansson-Knodell, Claire
AU - Krajicek, Edward
AU - Das Kundumadam, Shanker
AU - Nutalapati, Venkat
AU - Phatharacharukul, Parkpoom “Peter”
AU - Razmdjou, Shadi
AU - Saito, Akira
AU - Sarkis, Fayez
AU - Sutton, Richard
AU - Wehbeh, Antonios
AU - Sharma, Prateek
AU - Desai, Madhav
N1 - Publisher Copyright:
© 2021 Japan Gastroenterological Endoscopy Society
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
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U2 - 10.1111/den.14050
DO - 10.1111/den.14050
M3 - Article
C2 - 34053136
AN - SCOPUS:85107998777
SN - 0915-5635
VL - 34
SP - 191
EP - 197
JO - Digestive Endoscopy
JF - Digestive Endoscopy
IS - 1
ER -