External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts. Issue 10 (6th May 2021)
- Record Type:
- Journal Article
- Title:
- External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts. Issue 10 (6th May 2021)
- Main Title:
- External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts
- Authors:
- Desai, Madhav
Kennedy, Kevin
Aihara, Hiroyuki
Van Dam, Jacques
Gross, Seth
Haber, Gregory
Pohl, Heiko
Rex, Douglas
Saltzman, John
Sethi, Amrita
Waxman, Irving
Wang, Kenneth
Wallace, Michael
Repici, Alessandro
Sharma, Prateek - Abstract:
- 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 mucusAbstract: 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. … (more)
- Is Part Of:
- Journal of gastroenterology and hepatology. Volume 36:Issue 10(2021)
- Journal:
- Journal of gastroenterology and hepatology
- Issue:
- Volume 36:Issue 10(2021)
- Issue Display:
- Volume 36, Issue 10 (2021)
- Year:
- 2021
- Volume:
- 36
- Issue:
- 10
- Issue Sort Value:
- 2021-0036-0010-0000
- Page Start:
- 2728
- Page End:
- 2734
- Publication Date:
- 2021-05-06
- Subjects:
- blue light imaging -- colon polyps -- image‐enhanced endoscopy
Gastroenterology -- Periodicals
Digestive organs -- Diseases -- Periodicals
Liver -- Diseases -- Periodicals
Gastroenterology -- Periodicals
Liver Diseases -- Periodicals
616.33 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1440-1746 ↗
http://onlinelibrary.wiley.com/ ↗
http://www.blackwell-synergy.com/loi/jgh ↗ - DOI:
- 10.1111/jgh.15529 ↗
- Languages:
- English
- ISSNs:
- 0815-9319
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4987.615000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19385.xml