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Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm
BACKGROUND: Computed tomography (CT) screening for lung cancer has led to frequent findings of small anterior mediastinal masses. It is very hard to distinguish small thymomas from thymic cysts. The objective of this study was to develop a clinical model for predicting small thymomas (<3 cm) in a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212157/ https://www.ncbi.nlm.nih.gov/pubmed/32395273 http://dx.doi.org/10.21037/jtd.2020.02.14 |
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author | Jung, Woohyun Cho, Sukki Yum, Sungwon Lee, Young Kyung Kim, Kwhanmien Jheon, Sanghoon |
author_facet | Jung, Woohyun Cho, Sukki Yum, Sungwon Lee, Young Kyung Kim, Kwhanmien Jheon, Sanghoon |
author_sort | Jung, Woohyun |
collection | PubMed |
description | BACKGROUND: Computed tomography (CT) screening for lung cancer has led to frequent findings of small anterior mediastinal masses. It is very hard to distinguish small thymomas from thymic cysts. The objective of this study was to develop a clinical model for predicting small thymomas (<3 cm) in asymptomatic patients. METHODS: Patients who underwent thymectomy for anterior mediastinal masses between 2004 and 2016 were included. All preoperative CT scans (pre- and post-enhanced) were retrospectively reviewed. Size, location, contour, shape, presence of calcification, and enhancement [Hounsfield units (HU)] were evaluated. A nomogram was built based on the predictive factors. For external validation, patients undergoing thymectomy in 2017 were enrolled and thymoma prediction was computed using the proposed nomogram. RESULTS: The study population consisted of 43 patients with thymoma and 57 with thymic cyst. The multivariable analysis identified a lobulated contour and a large difference in HU between post- and pre-enhancement as predictive factors of thymoma. These factors were included in the nomogram, which showed 95% (19/20) power for predicting thymoma after external validation. CONCLUSIONS: This clinical model can be used to predict thymoma in patients with small, asymptomatic thymic abnormalities on CT screening. |
format | Online Article Text |
id | pubmed-7212157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-72121572020-05-11 Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm Jung, Woohyun Cho, Sukki Yum, Sungwon Lee, Young Kyung Kim, Kwhanmien Jheon, Sanghoon J Thorac Dis Original Article BACKGROUND: Computed tomography (CT) screening for lung cancer has led to frequent findings of small anterior mediastinal masses. It is very hard to distinguish small thymomas from thymic cysts. The objective of this study was to develop a clinical model for predicting small thymomas (<3 cm) in asymptomatic patients. METHODS: Patients who underwent thymectomy for anterior mediastinal masses between 2004 and 2016 were included. All preoperative CT scans (pre- and post-enhanced) were retrospectively reviewed. Size, location, contour, shape, presence of calcification, and enhancement [Hounsfield units (HU)] were evaluated. A nomogram was built based on the predictive factors. For external validation, patients undergoing thymectomy in 2017 were enrolled and thymoma prediction was computed using the proposed nomogram. RESULTS: The study population consisted of 43 patients with thymoma and 57 with thymic cyst. The multivariable analysis identified a lobulated contour and a large difference in HU between post- and pre-enhancement as predictive factors of thymoma. These factors were included in the nomogram, which showed 95% (19/20) power for predicting thymoma after external validation. CONCLUSIONS: This clinical model can be used to predict thymoma in patients with small, asymptomatic thymic abnormalities on CT screening. AME Publishing Company 2020-04 /pmc/articles/PMC7212157/ /pubmed/32395273 http://dx.doi.org/10.21037/jtd.2020.02.14 Text en 2020 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Jung, Woohyun Cho, Sukki Yum, Sungwon Lee, Young Kyung Kim, Kwhanmien Jheon, Sanghoon Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title | Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title_full | Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title_fullStr | Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title_full_unstemmed | Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title_short | Differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
title_sort | differentiating thymoma from thymic cyst in anterior mediastinal abnormalities smaller than 3 cm |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7212157/ https://www.ncbi.nlm.nih.gov/pubmed/32395273 http://dx.doi.org/10.21037/jtd.2020.02.14 |
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