Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases

Abstract Gastric diseases are common in China, and gastroduodenoscopy could provide accurate diagnoses. Our previous study verified that linked colour imaging (LCI) can improve endoscopic diagnostic accuracy. This study aimed for the first time to establish an LCI-based endoscopic model called colou...

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Autores principales:	Xiaotian Sun, Yiliang Bi, Tenghui Dong, Min Min, Wei Shen, Yang Xu, Yan Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d5fafdc133da4f6aafd6be26c41f69cc
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spelling	oai:doaj.org-article:d5fafdc133da4f6aafd6be26c41f69cc2021-12-02T11:41:12ZLinked colour imaging benefits the endoscopic diagnosis of distal gastric diseases10.1038/s41598-017-05847-32045-2322https://doaj.org/article/d5fafdc133da4f6aafd6be26c41f69cc2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05847-3https://doaj.org/toc/2045-2322Abstract Gastric diseases are common in China, and gastroduodenoscopy could provide accurate diagnoses. Our previous study verified that linked colour imaging (LCI) can improve endoscopic diagnostic accuracy. This study aimed for the first time to establish an LCI-based endoscopic model called colour-microstructure-vessel (CMV) criteria and validated its clinical feasibility for detecting distal gastric diseases manifested as red mucosal lesions under endoscopy in a cohort of 62 patients. Colour features were extracted from the endoscopic images and categorized into 3 types. Colour type 1 was a typical red; Colour type 2 was red ringed with purple and Colour type 3 was red with yellow in the centre and purple around the periphery, allowing for predicting chronic nonatrophic gastritis, chronic atrophic gastritis and gastric cancer. The sensitivity, specificity and Youden index of Colour type 3 with abnormal M or V for gastric cancer were 100.0%, 98.2% and 98.2%. The kappa values for intra-observer and inter-observer agreement for predicting the pathology were 0.834 and 0.791 for experienced endoscopists and 0.788 and 0.732 for endoscopy learners, and these values were comparable regardless of the experience of the endoscopists (P > 0.05). These findings support that the CMV criteria are a promising model for accurate endoscopic diagnosis.Xiaotian SunYiliang BiTenghui DongMin MinWei ShenYang XuYan LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiaotian Sun Yiliang Bi Tenghui Dong Min Min Wei Shen Yang Xu Yan Liu Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
description	Abstract Gastric diseases are common in China, and gastroduodenoscopy could provide accurate diagnoses. Our previous study verified that linked colour imaging (LCI) can improve endoscopic diagnostic accuracy. This study aimed for the first time to establish an LCI-based endoscopic model called colour-microstructure-vessel (CMV) criteria and validated its clinical feasibility for detecting distal gastric diseases manifested as red mucosal lesions under endoscopy in a cohort of 62 patients. Colour features were extracted from the endoscopic images and categorized into 3 types. Colour type 1 was a typical red; Colour type 2 was red ringed with purple and Colour type 3 was red with yellow in the centre and purple around the periphery, allowing for predicting chronic nonatrophic gastritis, chronic atrophic gastritis and gastric cancer. The sensitivity, specificity and Youden index of Colour type 3 with abnormal M or V for gastric cancer were 100.0%, 98.2% and 98.2%. The kappa values for intra-observer and inter-observer agreement for predicting the pathology were 0.834 and 0.791 for experienced endoscopists and 0.788 and 0.732 for endoscopy learners, and these values were comparable regardless of the experience of the endoscopists (P > 0.05). These findings support that the CMV criteria are a promising model for accurate endoscopic diagnosis.
format	article
author	Xiaotian Sun Yiliang Bi Tenghui Dong Min Min Wei Shen Yang Xu Yan Liu
author_facet	Xiaotian Sun Yiliang Bi Tenghui Dong Min Min Wei Shen Yang Xu Yan Liu
author_sort	Xiaotian Sun
title	Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
title_short	Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
title_full	Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
title_fullStr	Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
title_full_unstemmed	Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
title_sort	linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d5fafdc133da4f6aafd6be26c41f69cc
work_keys_str_mv	AT xiaotiansun linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT yiliangbi linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT tenghuidong linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT minmin linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT weishen linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT yangxu linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases AT yanliu linkedcolourimagingbenefitstheendoscopicdiagnosisofdistalgastricdiseases
_version_	1718395487405473792

Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases

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