Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions

JGH Open

Takeshi Yamamura¹  Doreen S C Koay²  Amanda Ovenden²  Yoshiki Hirooka³  Masanao Nakamura⁴  Mitsuhiro Fujishiro⁴  Leonardo Zorron Cheng Tao Pu⁵  Suzanne Edwards⁵  Alastair D Burt⁵  Rajvinder Singh⁵ 

[1] Department of Endoscopy Nagoya University Hospital Nagoya Japan;Department of Gastroenterology Lyell McEwin Hospital Adelaide South Australia Australia;Department of Gastroenterology and Gastroenterological Oncology Fujita Health University Toyoake Japan;Department of Gastroenterology and Hepatology Nagoya University Nagoya Japan;Faculty of Health and Medical Sciences The University of Adelaide Adelaide South Australia Australia;

关键词: adenoma;    colonoscopy;    colorectal neoplasms;    serrated polyp;   

DOI  :  10.1002/jgh3.12382

来源: DOAJ

【 摘 要 】

Abstract Background and Aim Commonly 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. Methods Patients 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. Results A 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% vs 79%, P < 0.05) and validation (85% vs 69%, P < 0.05) phases. The interrater reliability was substantial for all classifications (κ = 0.74, 0.69, and 0.63 for wNICE, wJNET, and MS, respectively). Conclusions MS classification achieved the highest accuracy in both the exploratory and validation phases. MS can differentiate serrated and adenomatous polyps as a stand‐alone classification.

【 授权许可】

Unknown