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Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics

Preoperative renal tumor subtype differentiation is important for radiology and urology in clinical practice. Pharmacokinetic data (K (trans) & V (e), etc.) derived from dynamic contrast-enhanced MRI (DCE-MRI) have been used to investigate tumor vessel permeability. In this prospective study on...

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Autores principales: Wang, Hai-yi, Su, Zi-hua, Xu, Xiao, Huang, Ning, Sun, Zhi-peng, Wang, Ying-wei, Li, Lu, Guo, Ai-tao, Chen, Xin, Ma, Xin, Ma, Lin, Ye, Hui-yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465189/
https://www.ncbi.nlm.nih.gov/pubmed/28596583
http://dx.doi.org/10.1038/s41598-017-03376-7
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author Wang, Hai-yi
Su, Zi-hua
Xu, Xiao
Huang, Ning
Sun, Zhi-peng
Wang, Ying-wei
Li, Lu
Guo, Ai-tao
Chen, Xin
Ma, Xin
Ma, Lin
Ye, Hui-yi
author_facet Wang, Hai-yi
Su, Zi-hua
Xu, Xiao
Huang, Ning
Sun, Zhi-peng
Wang, Ying-wei
Li, Lu
Guo, Ai-tao
Chen, Xin
Ma, Xin
Ma, Lin
Ye, Hui-yi
author_sort Wang, Hai-yi
collection PubMed
description Preoperative renal tumor subtype differentiation is important for radiology and urology in clinical practice. Pharmacokinetic data (K (trans) & V (e), etc.) derived from dynamic contrast-enhanced MRI (DCE-MRI) have been used to investigate tumor vessel permeability. In this prospective study on DCE-MRI pharmacokinetic studies, we enrolled patients with five common renal tumor subtypes: clear cell renal cell carcinoma (ccRCC; n = 65), papillary renal cell carcinoma (pRCC; n = 12), chromophobic renal cell carcinoma (cRCC; n = 9), uroepithelial carcinoma (UEC; n = 14), and fat-poor angiomyolipoma (fpAML; n = 10). The results show that K (trans) of ccRCC, pRCC, cRCC, UEC and fpAML (0.459 ± 0.190 min(−1), 0.206 ± 0.127 min(−1), 0.311 ± 0.111 min(−1), 0.235 ± 0.116 min(−1), 0.511 ± 0.159 min(−1), respectively) were different, but V (e) was not. K (trans) could distinguish ccRCC from non-ccRCC (pRCC & cRCC) with a sensitivity of 76.9% and a specificity of 71.4%, respectively, as well as to differentiate fpAML from non-ccRCC with a sensitivity of 100% and a specificity of 76.2%, respectively. Our findings suggest that DCE-MRI pharmacokinetics are promising for differential diagnosis of renal tumors, especially for RCC subtype characterization and differentiation between fpAML and non-ccRCC, which may facilitate the treatment of renal tumors.
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spelling pubmed-54651892017-06-14 Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics Wang, Hai-yi Su, Zi-hua Xu, Xiao Huang, Ning Sun, Zhi-peng Wang, Ying-wei Li, Lu Guo, Ai-tao Chen, Xin Ma, Xin Ma, Lin Ye, Hui-yi Sci Rep Article Preoperative renal tumor subtype differentiation is important for radiology and urology in clinical practice. Pharmacokinetic data (K (trans) & V (e), etc.) derived from dynamic contrast-enhanced MRI (DCE-MRI) have been used to investigate tumor vessel permeability. In this prospective study on DCE-MRI pharmacokinetic studies, we enrolled patients with five common renal tumor subtypes: clear cell renal cell carcinoma (ccRCC; n = 65), papillary renal cell carcinoma (pRCC; n = 12), chromophobic renal cell carcinoma (cRCC; n = 9), uroepithelial carcinoma (UEC; n = 14), and fat-poor angiomyolipoma (fpAML; n = 10). The results show that K (trans) of ccRCC, pRCC, cRCC, UEC and fpAML (0.459 ± 0.190 min(−1), 0.206 ± 0.127 min(−1), 0.311 ± 0.111 min(−1), 0.235 ± 0.116 min(−1), 0.511 ± 0.159 min(−1), respectively) were different, but V (e) was not. K (trans) could distinguish ccRCC from non-ccRCC (pRCC & cRCC) with a sensitivity of 76.9% and a specificity of 71.4%, respectively, as well as to differentiate fpAML from non-ccRCC with a sensitivity of 100% and a specificity of 76.2%, respectively. Our findings suggest that DCE-MRI pharmacokinetics are promising for differential diagnosis of renal tumors, especially for RCC subtype characterization and differentiation between fpAML and non-ccRCC, which may facilitate the treatment of renal tumors. Nature Publishing Group UK 2017-06-08 /pmc/articles/PMC5465189/ /pubmed/28596583 http://dx.doi.org/10.1038/s41598-017-03376-7 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wang, Hai-yi
Su, Zi-hua
Xu, Xiao
Huang, Ning
Sun, Zhi-peng
Wang, Ying-wei
Li, Lu
Guo, Ai-tao
Chen, Xin
Ma, Xin
Ma, Lin
Ye, Hui-yi
Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title_full Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title_fullStr Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title_full_unstemmed Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title_short Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
title_sort dynamic contrast-enhanced mri in renal tumors: common subtype differentiation using pharmacokinetics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465189/
https://www.ncbi.nlm.nih.gov/pubmed/28596583
http://dx.doi.org/10.1038/s41598-017-03376-7
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