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Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures
BACKGROUND/AIMS: Depth of invasion is one of the most important factors for establishing treatment strategy for colorectal tumors. METHODS: Three blinded experts reviewed electronic photos and video clips of 33 early colorectal cancer-like lesions. They estimated the depth of invasion based on conve...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Society of Gastrointestinal Endoscopy
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630311/ https://www.ncbi.nlm.nih.gov/pubmed/23614127 http://dx.doi.org/10.5946/ce.2013.46.2.168 |
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author | Choi, Hye Jung Lee, Bo-In Choi, Hwang Choi, Kyu Yong Kim, Sang-Woo Song, Joo Yong Ji, Jeong Seon Kim, Byung-Wook |
author_facet | Choi, Hye Jung Lee, Bo-In Choi, Hwang Choi, Kyu Yong Kim, Sang-Woo Song, Joo Yong Ji, Jeong Seon Kim, Byung-Wook |
author_sort | Choi, Hye Jung |
collection | PubMed |
description | BACKGROUND/AIMS: Depth of invasion is one of the most important factors for establishing treatment strategy for colorectal tumors. METHODS: Three blinded experts reviewed electronic photos and video clips of 33 early colorectal cancer-like lesions. They estimated the depth of invasion based on conventional white light endoscopy (CWE), magnifying chromoendoscopy (MCE), and magnifying narrow band imaging endoscopy (MNE). RESULTS: The lesions included nine mucosal low-grade neoplasias, 16 mucosal high grade neoplasias, and eight carcinomas with invasion to the submucosal layer or beyond. The diagnostic accuracy for submucosal invasion by CWE ranged from 67% to 82%, while those by MCE and MNE ranged from 85% to 88% and 85% to 88%, respectively. The diagnostic accuracy significantly differed between CWE and MCE (p=0.034) and between CWE and MNE (p=0.039). The kappa values for CWE, MCE, and MNE among the endoscopists were 0.564, 0.673, and 0.673, respectively. CONCLUSIONS: The estimation of submucosal invasion for early colorectal cancer-like lesions based on MCE or MNE is more accurate than CWE. MCE and MNE were demonstrated to have substantial agreement for predicting submucosal invasion. |
format | Online Article Text |
id | pubmed-3630311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The Korean Society of Gastrointestinal Endoscopy |
record_format | MEDLINE/PubMed |
spelling | pubmed-36303112013-04-23 Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures Choi, Hye Jung Lee, Bo-In Choi, Hwang Choi, Kyu Yong Kim, Sang-Woo Song, Joo Yong Ji, Jeong Seon Kim, Byung-Wook Clin Endosc Original Article BACKGROUND/AIMS: Depth of invasion is one of the most important factors for establishing treatment strategy for colorectal tumors. METHODS: Three blinded experts reviewed electronic photos and video clips of 33 early colorectal cancer-like lesions. They estimated the depth of invasion based on conventional white light endoscopy (CWE), magnifying chromoendoscopy (MCE), and magnifying narrow band imaging endoscopy (MNE). RESULTS: The lesions included nine mucosal low-grade neoplasias, 16 mucosal high grade neoplasias, and eight carcinomas with invasion to the submucosal layer or beyond. The diagnostic accuracy for submucosal invasion by CWE ranged from 67% to 82%, while those by MCE and MNE ranged from 85% to 88% and 85% to 88%, respectively. The diagnostic accuracy significantly differed between CWE and MCE (p=0.034) and between CWE and MNE (p=0.039). The kappa values for CWE, MCE, and MNE among the endoscopists were 0.564, 0.673, and 0.673, respectively. CONCLUSIONS: The estimation of submucosal invasion for early colorectal cancer-like lesions based on MCE or MNE is more accurate than CWE. MCE and MNE were demonstrated to have substantial agreement for predicting submucosal invasion. The Korean Society of Gastrointestinal Endoscopy 2013-03 2013-03-31 /pmc/articles/PMC3630311/ /pubmed/23614127 http://dx.doi.org/10.5946/ce.2013.46.2.168 Text en Copyright © 2013 Korean Society of Gastrointestinal Endoscopy http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Choi, Hye Jung Lee, Bo-In Choi, Hwang Choi, Kyu Yong Kim, Sang-Woo Song, Joo Yong Ji, Jeong Seon Kim, Byung-Wook Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title | Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title_full | Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title_fullStr | Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title_full_unstemmed | Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title_short | Diagnostic Accuracy and Interobserver Agreement in Predicting the Submucosal Invasion of Colorectal Tumors Using Gross Findings, Pit Patterns, and Microvasculatures |
title_sort | diagnostic accuracy and interobserver agreement in predicting the submucosal invasion of colorectal tumors using gross findings, pit patterns, and microvasculatures |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630311/ https://www.ncbi.nlm.nih.gov/pubmed/23614127 http://dx.doi.org/10.5946/ce.2013.46.2.168 |
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