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Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography

OBJECTIVE: To investigate whether computed tomography (CT) and fluorine-18-labeled fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) may be applied to distinguish thymic epithelial tumors (TETs) from benign cysts in the anterior mediastinum. MATERIALS AND METHODS: We included 262 con...

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Autores principales: Lee, Sang Hyup, Yoon, Soon Ho, Nam, Ju Gang, Kim, Hyung Jin, Ahn, Su Yeon, Kim, Hee Kyung, Lee, Hyun Ju, Lee, Hwan Hee, Cheon, Gi Jeong, Goo, Jin Mo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424822/
https://www.ncbi.nlm.nih.gov/pubmed/30887749
http://dx.doi.org/10.3348/kjr.2018.0400
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author Lee, Sang Hyup
Yoon, Soon Ho
Nam, Ju Gang
Kim, Hyung Jin
Ahn, Su Yeon
Kim, Hee Kyung
Lee, Hyun Ju
Lee, Hwan Hee
Cheon, Gi Jeong
Goo, Jin Mo
author_facet Lee, Sang Hyup
Yoon, Soon Ho
Nam, Ju Gang
Kim, Hyung Jin
Ahn, Su Yeon
Kim, Hee Kyung
Lee, Hyun Ju
Lee, Hwan Hee
Cheon, Gi Jeong
Goo, Jin Mo
author_sort Lee, Sang Hyup
collection PubMed
description OBJECTIVE: To investigate whether computed tomography (CT) and fluorine-18-labeled fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) may be applied to distinguish thymic epithelial tumors (TETs) from benign cysts in the anterior mediastinum. MATERIALS AND METHODS: We included 262 consecutive patients with pathologically proven TETs and benign cysts 5 cm or smaller who underwent preoperative CT scans. In addition to conventional morphological and ancillary CT findings, the relationship between the lesion and the adjacent mediastinal pleura was evaluated qualitatively and quantitatively. Mean lesion attenuation was measured on CT images. The maximum standardized uptake value (SUVmax) was obtained with FDG-PET scans in 40 patients. CT predictors for TETs were identified with multivariate logistic regression analysis. For validation, we assessed the diagnostic accuracy and inter-observer agreement between four radiologists in a size-matched set of 24 cysts and 24 TETs using a receiver operating characteristic curve before and after being informed of the study findings. RESULTS: The multivariate analysis showed that post-contrast attenuation of 60 Hounsfield unit or higher (odds ratio [OR], 12.734; 95% confidence interval [CI], 2.506–64.705; p = 0.002) and the presence of protrusion from the mediastinal pleura (OR, 9.855; 95% CI, 1.749–55.535; p = 0.009) were the strongest CT predictors for TETs. SUVmax was significantly higher in TETs than in cysts (5.3 ± 2.4 vs. 1.1 ± 0.3; p < 0.001). After being informed of the study findings, the readers' area under the curve improved from 0.872–0.955 to 0.949–0.999 (p = 0.066–0.149). Inter-observer kappa values for protrusion were 0.630–0.941. CONCLUSION: Post-contrast CT attenuation, protrusion from the mediastinal pleura, and SUVmax were useful imaging features for distinguishing TETs from cysts in the anterior mediastinum.
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spelling pubmed-64248222019-04-01 Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography Lee, Sang Hyup Yoon, Soon Ho Nam, Ju Gang Kim, Hyung Jin Ahn, Su Yeon Kim, Hee Kyung Lee, Hyun Ju Lee, Hwan Hee Cheon, Gi Jeong Goo, Jin Mo Korean J Radiol Thoracic Imaging OBJECTIVE: To investigate whether computed tomography (CT) and fluorine-18-labeled fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) may be applied to distinguish thymic epithelial tumors (TETs) from benign cysts in the anterior mediastinum. MATERIALS AND METHODS: We included 262 consecutive patients with pathologically proven TETs and benign cysts 5 cm or smaller who underwent preoperative CT scans. In addition to conventional morphological and ancillary CT findings, the relationship between the lesion and the adjacent mediastinal pleura was evaluated qualitatively and quantitatively. Mean lesion attenuation was measured on CT images. The maximum standardized uptake value (SUVmax) was obtained with FDG-PET scans in 40 patients. CT predictors for TETs were identified with multivariate logistic regression analysis. For validation, we assessed the diagnostic accuracy and inter-observer agreement between four radiologists in a size-matched set of 24 cysts and 24 TETs using a receiver operating characteristic curve before and after being informed of the study findings. RESULTS: The multivariate analysis showed that post-contrast attenuation of 60 Hounsfield unit or higher (odds ratio [OR], 12.734; 95% confidence interval [CI], 2.506–64.705; p = 0.002) and the presence of protrusion from the mediastinal pleura (OR, 9.855; 95% CI, 1.749–55.535; p = 0.009) were the strongest CT predictors for TETs. SUVmax was significantly higher in TETs than in cysts (5.3 ± 2.4 vs. 1.1 ± 0.3; p < 0.001). After being informed of the study findings, the readers' area under the curve improved from 0.872–0.955 to 0.949–0.999 (p = 0.066–0.149). Inter-observer kappa values for protrusion were 0.630–0.941. CONCLUSION: Post-contrast CT attenuation, protrusion from the mediastinal pleura, and SUVmax were useful imaging features for distinguishing TETs from cysts in the anterior mediastinum. The Korean Society of Radiology 2019-04 2019-03-11 /pmc/articles/PMC6424822/ /pubmed/30887749 http://dx.doi.org/10.3348/kjr.2018.0400 Text en Copyright © 2019 The Korean Society of Radiology http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Thoracic Imaging
Lee, Sang Hyup
Yoon, Soon Ho
Nam, Ju Gang
Kim, Hyung Jin
Ahn, Su Yeon
Kim, Hee Kyung
Lee, Hyun Ju
Lee, Hwan Hee
Cheon, Gi Jeong
Goo, Jin Mo
Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title_full Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title_fullStr Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title_full_unstemmed Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title_short Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography
title_sort distinguishing between thymic epithelial tumors and benign cysts via computed tomography
topic Thoracic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6424822/
https://www.ncbi.nlm.nih.gov/pubmed/30887749
http://dx.doi.org/10.3348/kjr.2018.0400
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