ArticleJGH open : an open access journal of gastroenterology and hepatology2020
Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions.
Article in JGH open : an open access journal of gastroenterology and hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 14 citations in OpenAlex.
- Impact of narrow band imaging in prediction of histology of advanced colorectal neoplasia.Scientific reports · 2025Article
- The Nagoya University and the University of Adelaide Joint PhD Degree Program in Medicine - A Program of Opportunity.Advances in medical education and practice · 2025Article
- Mucosal imaging in colon polyps: New advances and what the future may hold.World journal of gastroenterology · 2022Review
- Colorectal malignant polyps: a modern approach.Annals of gastroenterologyReview
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10 authors at 5 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimCommonly used classifications for colorectal lesions (CLs) include the Narrow Band Imaging (NBI) International Colorectal Endoscopic (NICE) and Japan NBI Expert Team (JNET) classifications. However, both lack a sessile serrated adenoma/polyp (SSA/P) category. This has been addressed by the modified Sano's (MS) and Workgroup serrAted polypS and Polyposis (WASP) classifications. This study aims to compare the accuracy of wNICE and wJNET (WASP added to both) with the stand-alone MS classification.
methodsPatients undergoing colonoscopy at an Australian tertiary hospital who had at least one CL detected were prospectively enrolled. In the exploratory phase, CLs were characterized in real time with NBI and magnification using all classifications. In the validation phase, CLs were assessed with both NBI and Blue Laser Imaging (BLI) by four external endoscopists in Japan. The primary outcome was the comparison of wJNET and MS. Secondary outcomes included comparisons among all classifications and the calculation of interrater reliability.
resultsA total of 483 CLs were evaluated in real time in the exploratory phase, and four sets of 30 CL images (80 on NBI and 40 on BLI) were scored in the validation phase. For high-confidence diagnoses, MS accuracy was superior to wJNET in both the exploratory (86%
conclusionsMS classification achieved the highest accuracy in both the exploratory and validation phases. MS can differentiate serrated and adenomatous polyps as a stand-alone classification.
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