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Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases
OBJECTIVE: To investigate the computed tomography (CT) characteristics of adrenal ganglioneuromas (AGNs) and to determine the ability of CT scanning to distinguish between large (>3 cm) and small (≤3 cm) AGNs. METHODS: This retrospective study searched the electronic medical record system of a ho...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673062/ https://www.ncbi.nlm.nih.gov/pubmed/33176508 http://dx.doi.org/10.1177/0300060520945510 |
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author | Shao, Meihua Zhang, Wenming Niu, Zhongfeng Chen, Songkuan Jia, Yuzhu An, Yongyu Zhu, Fangmei Wang, Jian |
author_facet | Shao, Meihua Zhang, Wenming Niu, Zhongfeng Chen, Songkuan Jia, Yuzhu An, Yongyu Zhu, Fangmei Wang, Jian |
author_sort | Shao, Meihua |
collection | PubMed |
description | OBJECTIVE: To investigate the computed tomography (CT) characteristics of adrenal ganglioneuromas (AGNs) and to determine the ability of CT scanning to distinguish between large (>3 cm) and small (≤3 cm) AGNs. METHODS: This retrospective study searched the electronic medical record system of a hospital between January 2008 and July 2019 in order to identify patients with pathologically-confirmed AGNs that underwent three phases of CT scanning. The CT features were compared between large and small AGNs. RESULTS: A total of 30 patients with pathologically-confirmed AGNs were included in the study. The majority of patients (76.7%; 23 of 30) were asymptomatic and there were nonspecific symptoms in seven patients. The ‘pointed peach’ sign appeared in more than half of the patients (53.3%; 16 of 30). The CT value of the arterial phase, progressive enhancement, morphology and calcification in the CT images were found to be significantly different between large and small AGNs. Progressive enhancement was more likely to occur in small AGNs. Most large AGNs had irregular shapes, while small AGNs were likely to be round or oval with a smooth border. Calcifications were noted in large AGNs (42.9%; six of 14). CONCLUSION: CT scanning can show many of the key imaging characteristics of AGNs used to distinguish between large and small AGNs. |
format | Online Article Text |
id | pubmed-7673062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-76730622020-11-24 Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases Shao, Meihua Zhang, Wenming Niu, Zhongfeng Chen, Songkuan Jia, Yuzhu An, Yongyu Zhu, Fangmei Wang, Jian J Int Med Res Retrospective Clinical Research Report OBJECTIVE: To investigate the computed tomography (CT) characteristics of adrenal ganglioneuromas (AGNs) and to determine the ability of CT scanning to distinguish between large (>3 cm) and small (≤3 cm) AGNs. METHODS: This retrospective study searched the electronic medical record system of a hospital between January 2008 and July 2019 in order to identify patients with pathologically-confirmed AGNs that underwent three phases of CT scanning. The CT features were compared between large and small AGNs. RESULTS: A total of 30 patients with pathologically-confirmed AGNs were included in the study. The majority of patients (76.7%; 23 of 30) were asymptomatic and there were nonspecific symptoms in seven patients. The ‘pointed peach’ sign appeared in more than half of the patients (53.3%; 16 of 30). The CT value of the arterial phase, progressive enhancement, morphology and calcification in the CT images were found to be significantly different between large and small AGNs. Progressive enhancement was more likely to occur in small AGNs. Most large AGNs had irregular shapes, while small AGNs were likely to be round or oval with a smooth border. Calcifications were noted in large AGNs (42.9%; six of 14). CONCLUSION: CT scanning can show many of the key imaging characteristics of AGNs used to distinguish between large and small AGNs. SAGE Publications 2020-11-12 /pmc/articles/PMC7673062/ /pubmed/33176508 http://dx.doi.org/10.1177/0300060520945510 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 Shao, Meihua Zhang, Wenming Niu, Zhongfeng Chen, Songkuan Jia, Yuzhu An, Yongyu Zhu, Fangmei Wang, Jian Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title | Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title_full | Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title_fullStr | Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title_full_unstemmed | Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title_short | Computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
title_sort | computed tomography characteristics of adrenal ganglioneuroma: a retrospective analysis of 30 pathologically-confirmed cases |
topic | Retrospective Clinical Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673062/ https://www.ncbi.nlm.nih.gov/pubmed/33176508 http://dx.doi.org/10.1177/0300060520945510 |
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