Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jian, Liu, Chang, Ao, Weiqun, An, Yongyu, Zhang, Wenming, Niu, Zhongfeng, Jia, Yuzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
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
_version_ 1783570468778803200
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
work_keys_str_mv AT wangjian differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT liuchang differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT aoweiqun differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT anyongyu differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT zhangwenming differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT niuzhongfeng differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography
AT jiayuzhu differentiationofgastricglomustumorfromsmallgastricstromaltumorbycomputedtomography