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Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors

We evaluated the performance of intravoxel incoherent motion (IVIM) parameters for preoperatively predicting the subtype and Masaoka stage of thymic epithelial tumors (TETs). Seventy-seven patients with pathologically confirmed TETs underwent a diffusion weighted imaging (DWI) sequence with 9 b valu...

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Autores principales: Li, Gang-Feng, Duan, Shi-Jun, Yan, Lin-Feng, Wang, Wen, Jing, Yong, Yan, Wei-Qiang, Sun, Qian, Wang, Shu-Mei, Nan, Hai-Yan, Xu, Tian-Yong, Zheng, Dan-Dan, Hu, Yu-Chuan, Cui, Guang-Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546503/
https://www.ncbi.nlm.nih.gov/pubmed/28574817
http://dx.doi.org/10.18632/oncotarget.17857
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author Li, Gang-Feng
Duan, Shi-Jun
Yan, Lin-Feng
Wang, Wen
Jing, Yong
Yan, Wei-Qiang
Sun, Qian
Wang, Shu-Mei
Nan, Hai-Yan
Xu, Tian-Yong
Zheng, Dan-Dan
Hu, Yu-Chuan
Cui, Guang-Bin
author_facet Li, Gang-Feng
Duan, Shi-Jun
Yan, Lin-Feng
Wang, Wen
Jing, Yong
Yan, Wei-Qiang
Sun, Qian
Wang, Shu-Mei
Nan, Hai-Yan
Xu, Tian-Yong
Zheng, Dan-Dan
Hu, Yu-Chuan
Cui, Guang-Bin
author_sort Li, Gang-Feng
collection PubMed
description We evaluated the performance of intravoxel incoherent motion (IVIM) parameters for preoperatively predicting the subtype and Masaoka stage of thymic epithelial tumors (TETs). Seventy-seven patients with pathologically confirmed TETs underwent a diffusion weighted imaging (DWI) sequence with 9 b values. Differences in the slow diffusion coefficient (D), fast perfusion coefficient (D), and perfusion fraction (f) IVIM parameters, as well as the multi b-value fitted apparent diffusion coefficient (ADC(mb)), were compared among patients with low-risk (LRT) and high-risk thymomas (HRT) and thymic carcinomas (TC), and between early stage (stages I and II) and advanced stage (stages III and IV) TET patients. ADC(mb), D, and D values were higher in the LRT group than in the HRT or TC group, but did not differ between the HRT and TC groups. The mean ADC(mb), D, and D values were higher in the early stage TETs group than the advanced stage TETs group. The f values did not differ among the groups. These results suggest that IVIM DWI could be used to preoperatively predict subtype and Masaoka stage in TET patients.
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spelling pubmed-55465032017-08-23 Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors Li, Gang-Feng Duan, Shi-Jun Yan, Lin-Feng Wang, Wen Jing, Yong Yan, Wei-Qiang Sun, Qian Wang, Shu-Mei Nan, Hai-Yan Xu, Tian-Yong Zheng, Dan-Dan Hu, Yu-Chuan Cui, Guang-Bin Oncotarget Research Paper We evaluated the performance of intravoxel incoherent motion (IVIM) parameters for preoperatively predicting the subtype and Masaoka stage of thymic epithelial tumors (TETs). Seventy-seven patients with pathologically confirmed TETs underwent a diffusion weighted imaging (DWI) sequence with 9 b values. Differences in the slow diffusion coefficient (D), fast perfusion coefficient (D), and perfusion fraction (f) IVIM parameters, as well as the multi b-value fitted apparent diffusion coefficient (ADC(mb)), were compared among patients with low-risk (LRT) and high-risk thymomas (HRT) and thymic carcinomas (TC), and between early stage (stages I and II) and advanced stage (stages III and IV) TET patients. ADC(mb), D, and D values were higher in the LRT group than in the HRT or TC group, but did not differ between the HRT and TC groups. The mean ADC(mb), D, and D values were higher in the early stage TETs group than the advanced stage TETs group. The f values did not differ among the groups. These results suggest that IVIM DWI could be used to preoperatively predict subtype and Masaoka stage in TET patients. Impact Journals LLC 2017-05-15 /pmc/articles/PMC5546503/ /pubmed/28574817 http://dx.doi.org/10.18632/oncotarget.17857 Text en Copyright: © 2017 Li et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Li, Gang-Feng
Duan, Shi-Jun
Yan, Lin-Feng
Wang, Wen
Jing, Yong
Yan, Wei-Qiang
Sun, Qian
Wang, Shu-Mei
Nan, Hai-Yan
Xu, Tian-Yong
Zheng, Dan-Dan
Hu, Yu-Chuan
Cui, Guang-Bin
Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title_full Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title_fullStr Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title_full_unstemmed Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title_short Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors
title_sort intravoxel incoherent motion diffusion-weighted mr imaging parameters predict pathological classification in thymic epithelial tumors
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546503/
https://www.ncbi.nlm.nih.gov/pubmed/28574817
http://dx.doi.org/10.18632/oncotarget.17857
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