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Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor

PURPOSES: This study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs). METHODS: Medical records of 62 patients who were diagnosed with TET and underwent diffusion-weighte...

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Autores principales: Chang, Chao-Chun, Lin, Chia-Ying, Huang, Li-Ting, Chuang, Ming-Tsung, Lu, Ying-Hung, Huang, Wei-Li, Chen, Ying-Yuan, Lai, Wu-Wei, Tseng, Yau-Lin, Yen, Yi-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533584/
https://www.ncbi.nlm.nih.gov/pubmed/36199129
http://dx.doi.org/10.1186/s40644-022-00495-x
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author Chang, Chao-Chun
Lin, Chia-Ying
Huang, Li-Ting
Chuang, Ming-Tsung
Lu, Ying-Hung
Huang, Wei-Li
Chen, Ying-Yuan
Lai, Wu-Wei
Tseng, Yau-Lin
Yen, Yi-Ting
author_facet Chang, Chao-Chun
Lin, Chia-Ying
Huang, Li-Ting
Chuang, Ming-Tsung
Lu, Ying-Hung
Huang, Wei-Li
Chen, Ying-Yuan
Lai, Wu-Wei
Tseng, Yau-Lin
Yen, Yi-Ting
author_sort Chang, Chao-Chun
collection PubMed
description PURPOSES: This study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs). METHODS: Medical records of 62 patients who were diagnosed with TET and underwent diffusion-weighted imaging (DWI) prior to surgery between August 2017 and July 2021 were retrospectively analyzed. ADC values were calculated from DWI images using b values of 0, 400, and 800 s/mm(2). Pathological stages were determined by histological examination of surgical specimens. Cut-off points of ADC values were calculated via receiver operating characteristic (ROC) analysis. RESULTS: Patients had a mean age of 56.3 years. Mean ADC values were negatively correlated with pathological Masaoka and T stages. Higher values of the area under the ROC curve suggested that mean ADC values more accurately predicated pathological T stages than pathological Masaoka stages. The optimal cut-off points of mean ADC were 1.62, 1.31, and 1.48 × 10(–3) mm(2)/sec for distinguishing pathological T2-T4 from pathological T1, pathological T4 from pathological T1-T3, and pathological T3-T4 from pathological T2, respectively. CONCLUSION: ADC seems to more precisely predict pathological T stages, compared to pathological Masaoka stage. The cut-off values of ADC identified may be used to preoperatively predict pathological T stages of TETs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-022-00495-x.
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spelling pubmed-95335842022-10-06 Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor Chang, Chao-Chun Lin, Chia-Ying Huang, Li-Ting Chuang, Ming-Tsung Lu, Ying-Hung Huang, Wei-Li Chen, Ying-Yuan Lai, Wu-Wei Tseng, Yau-Lin Yen, Yi-Ting Cancer Imaging Research Article PURPOSES: This study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs). METHODS: Medical records of 62 patients who were diagnosed with TET and underwent diffusion-weighted imaging (DWI) prior to surgery between August 2017 and July 2021 were retrospectively analyzed. ADC values were calculated from DWI images using b values of 0, 400, and 800 s/mm(2). Pathological stages were determined by histological examination of surgical specimens. Cut-off points of ADC values were calculated via receiver operating characteristic (ROC) analysis. RESULTS: Patients had a mean age of 56.3 years. Mean ADC values were negatively correlated with pathological Masaoka and T stages. Higher values of the area under the ROC curve suggested that mean ADC values more accurately predicated pathological T stages than pathological Masaoka stages. The optimal cut-off points of mean ADC were 1.62, 1.31, and 1.48 × 10(–3) mm(2)/sec for distinguishing pathological T2-T4 from pathological T1, pathological T4 from pathological T1-T3, and pathological T3-T4 from pathological T2, respectively. CONCLUSION: ADC seems to more precisely predict pathological T stages, compared to pathological Masaoka stage. The cut-off values of ADC identified may be used to preoperatively predict pathological T stages of TETs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-022-00495-x. BioMed Central 2022-10-05 /pmc/articles/PMC9533584/ /pubmed/36199129 http://dx.doi.org/10.1186/s40644-022-00495-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chang, Chao-Chun
Lin, Chia-Ying
Huang, Li-Ting
Chuang, Ming-Tsung
Lu, Ying-Hung
Huang, Wei-Li
Chen, Ying-Yuan
Lai, Wu-Wei
Tseng, Yau-Lin
Yen, Yi-Ting
Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title_full Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title_fullStr Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title_full_unstemmed Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title_short Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor
title_sort diagnostic value of apparent diffusion coefficient in predicting pathological t stage in patients with thymic epithelial tumor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533584/
https://www.ncbi.nlm.nih.gov/pubmed/36199129
http://dx.doi.org/10.1186/s40644-022-00495-x
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