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Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis

Gastric mesenchymal tumors (GMTs) are incidentally discovered in national gastric screening programs in Korea. Endoscopic ultrasonography (EUS) is the most useful diagnostic modality for evaluating GMTs. The differentiation of gastrointestinal stromal tumors from benign mesenchymal tumors, such as s...

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Autores principales: Lee, Moon Won, Kim, Gwang Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Gastrointestinal Endoscopy 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182255/
https://www.ncbi.nlm.nih.gov/pubmed/32549523
http://dx.doi.org/10.5946/ce.2020.061
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author Lee, Moon Won
Kim, Gwang Ha
author_facet Lee, Moon Won
Kim, Gwang Ha
author_sort Lee, Moon Won
collection PubMed
description Gastric mesenchymal tumors (GMTs) are incidentally discovered in national gastric screening programs in Korea. Endoscopic ultrasonography (EUS) is the most useful diagnostic modality for evaluating GMTs. The differentiation of gastrointestinal stromal tumors from benign mesenchymal tumors, such as schwannomas or leiomyomas, is important to ensure appropriate clinical management. However, this is difficult and operator dependent because of the subjective interpretation of EUS images. Digital image analysis computes the distribution and spatial variation of pixels using texture analysis to extract useful data, enabling the objective analysis of EUS images and decreasing interobserver and intraobserver agreement in EUS image interpretation. This review aimed to summarize the usefulness and future of digital EUS image analysis for GMTs based on published reports and our experience.
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spelling pubmed-81822552021-06-17 Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis Lee, Moon Won Kim, Gwang Ha Clin Endosc Review Gastric mesenchymal tumors (GMTs) are incidentally discovered in national gastric screening programs in Korea. Endoscopic ultrasonography (EUS) is the most useful diagnostic modality for evaluating GMTs. The differentiation of gastrointestinal stromal tumors from benign mesenchymal tumors, such as schwannomas or leiomyomas, is important to ensure appropriate clinical management. However, this is difficult and operator dependent because of the subjective interpretation of EUS images. Digital image analysis computes the distribution and spatial variation of pixels using texture analysis to extract useful data, enabling the objective analysis of EUS images and decreasing interobserver and intraobserver agreement in EUS image interpretation. This review aimed to summarize the usefulness and future of digital EUS image analysis for GMTs based on published reports and our experience. Korean Society of Gastrointestinal Endoscopy 2021-05 2020-06-18 /pmc/articles/PMC8182255/ /pubmed/32549523 http://dx.doi.org/10.5946/ce.2020.061 Text en Copyright © 2021 Korean Society of Gastrointestinal Endoscopy https://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/ (https://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 Review
Lee, Moon Won
Kim, Gwang Ha
Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title_full Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title_fullStr Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title_full_unstemmed Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title_short Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis
title_sort diagnosing gastric mesenchymal tumors by digital endoscopic ultrasonography image analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182255/
https://www.ncbi.nlm.nih.gov/pubmed/32549523
http://dx.doi.org/10.5946/ce.2020.061
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