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Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography
OBJECTIVE: This study was performed to investigate the value of computed tomography (CT) in the differentiation of gastric glomus tumors (GGTs) and small gastric stromal tumors (GSTs). METHODS: Fifty-nine patients with pathologically confirmed GGTs (n = 11) and GSTs (n = 48) from 2006 to 2019 were r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425284/ https://www.ncbi.nlm.nih.gov/pubmed/32779507 http://dx.doi.org/10.1177/0300060520936194 |
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author | Wang, Jian Liu, Chang Ao, Weiqun An, Yongyu Zhang, Wenming Niu, Zhongfeng Jia, Yuzhu |
author_facet | Wang, Jian Liu, Chang Ao, Weiqun An, Yongyu Zhang, Wenming Niu, Zhongfeng Jia, Yuzhu |
author_sort | Wang, Jian |
collection | PubMed |
description | OBJECTIVE: This study was performed to investigate the value of computed tomography (CT) in the differentiation of gastric glomus tumors (GGTs) and small gastric stromal tumors (GSTs). METHODS: Fifty-nine patients with pathologically confirmed GGTs (n = 11) and GSTs (n = 48) from 2006 to 2019 were retrospectively evaluated. All patients’ preoperative CT imaging features were analyzed. RESULTS: The following features were significantly different between GGTs and small GSTs: location in the antrum, endophytic growth, heterogeneous enhancement in the arterial phase, CT value in the arterial phase of ≥60.7 Hounsfield units (HU), CT value in the portal phase of ≥87.6 HU, degree of enhancement in the arterial phase of ≥29.9 HU, and degree of enhancement in the portal phase of ≥49.0 HU. A model including four randomly selected features among these seven criteria was built to differentiate GGTs from small GSTs with a sensitivity and specificity of 90.9% (10/11) and 100% (48/48), respectively. CONCLUSION: We identified seven features that are useful for differentiating GGTs from small GSTs. A combination of four of these seven criteria may increase the diagnostic accuracy. |
format | Online Article Text |
id | pubmed-7425284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74252842020-08-25 Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography Wang, Jian Liu, Chang Ao, Weiqun An, Yongyu Zhang, Wenming Niu, Zhongfeng Jia, Yuzhu J Int Med Res Retrospective Clinical Research Report OBJECTIVE: This study was performed to investigate the value of computed tomography (CT) in the differentiation of gastric glomus tumors (GGTs) and small gastric stromal tumors (GSTs). METHODS: Fifty-nine patients with pathologically confirmed GGTs (n = 11) and GSTs (n = 48) from 2006 to 2019 were retrospectively evaluated. All patients’ preoperative CT imaging features were analyzed. RESULTS: The following features were significantly different between GGTs and small GSTs: location in the antrum, endophytic growth, heterogeneous enhancement in the arterial phase, CT value in the arterial phase of ≥60.7 Hounsfield units (HU), CT value in the portal phase of ≥87.6 HU, degree of enhancement in the arterial phase of ≥29.9 HU, and degree of enhancement in the portal phase of ≥49.0 HU. A model including four randomly selected features among these seven criteria was built to differentiate GGTs from small GSTs with a sensitivity and specificity of 90.9% (10/11) and 100% (48/48), respectively. CONCLUSION: We identified seven features that are useful for differentiating GGTs from small GSTs. A combination of four of these seven criteria may increase the diagnostic accuracy. SAGE Publications 2020-08-11 /pmc/articles/PMC7425284/ /pubmed/32779507 http://dx.doi.org/10.1177/0300060520936194 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Retrospective Clinical Research Report Wang, Jian Liu, Chang Ao, Weiqun An, Yongyu Zhang, Wenming Niu, Zhongfeng Jia, Yuzhu Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title | Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title_full | Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title_fullStr | Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title_full_unstemmed | Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title_short | Differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
title_sort | differentiation of gastric glomus tumor from small gastric stromal tumor by computed tomography |
topic | Retrospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425284/ https://www.ncbi.nlm.nih.gov/pubmed/32779507 http://dx.doi.org/10.1177/0300060520936194 |
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