Cargando…
Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions
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 addres...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Publishing Asia Pty Ltd
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578300/ https://www.ncbi.nlm.nih.gov/pubmed/33102750 http://dx.doi.org/10.1002/jgh3.12382 |
_version_ | 1783598334528716800 |
---|---|
author | Zorron Cheng Tao Pu, Leonardo Yamamura, Takeshi Nakamura, Masanao Koay, Doreen S C Ovenden, Amanda Edwards, Suzanne Burt, Alastair D Hirooka, Yoshiki Fujishiro, Mitsuhiro Singh, Rajvinder |
author_facet | Zorron Cheng Tao Pu, Leonardo Yamamura, Takeshi Nakamura, Masanao Koay, Doreen S C Ovenden, Amanda Edwards, Suzanne Burt, Alastair D Hirooka, Yoshiki Fujishiro, Mitsuhiro Singh, Rajvinder |
author_sort | Zorron Cheng Tao Pu, Leonardo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7578300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wiley Publishing Asia Pty Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-75783002020-10-23 Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions Zorron Cheng Tao Pu, Leonardo Yamamura, Takeshi Nakamura, Masanao Koay, Doreen S C Ovenden, Amanda Edwards, Suzanne Burt, Alastair D Hirooka, Yoshiki Fujishiro, Mitsuhiro Singh, Rajvinder JGH Open Original Articles 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. Wiley Publishing Asia Pty Ltd 2020-07-07 /pmc/articles/PMC7578300/ /pubmed/33102750 http://dx.doi.org/10.1002/jgh3.12382 Text en © 2020 The Authors. JGH Open: An open access journal of gastroenterology and hepatology published by Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zorron Cheng Tao Pu, Leonardo Yamamura, Takeshi Nakamura, Masanao Koay, Doreen S C Ovenden, Amanda Edwards, Suzanne Burt, Alastair D Hirooka, Yoshiki Fujishiro, Mitsuhiro Singh, Rajvinder Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title | Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title_full | Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title_fullStr | Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title_full_unstemmed | Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title_short | Comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
title_sort | comparison of different virtual chromoendoscopy classification systems for the characterization of colorectal lesions |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578300/ https://www.ncbi.nlm.nih.gov/pubmed/33102750 http://dx.doi.org/10.1002/jgh3.12382 |
work_keys_str_mv | AT zorronchengtaopuleonardo comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT yamamuratakeshi comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT nakamuramasanao comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT koaydoreensc comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT ovendenamanda comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT edwardssuzanne comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT burtalastaird comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT hirookayoshiki comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT fujishiromitsuhiro comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions AT singhrajvinder comparisonofdifferentvirtualchromoendoscopyclassificationsystemsforthecharacterizationofcolorectallesions |