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DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC

In this prospective study, 36 patients with stage III non-small cell lung cancers (NSCLC), who underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo-radiotherapy (CCRT) were enrolled. Pharmacokinetic analysis was carried out after non-rigid motion registration. The perfusion para...

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Autores principales: Tao, Xiuli, Wang, Lvhua, Hui, Zhouguang, Liu, Li, Ye, Feng, Song, Ying, Tang, Yu, Men, Yu, Lambrou, Tryphon, Su, Zihua, Xu, Xiao, Ouyang, Han, Wu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071875/
https://www.ncbi.nlm.nih.gov/pubmed/27762331
http://dx.doi.org/10.1038/srep35569
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author Tao, Xiuli
Wang, Lvhua
Hui, Zhouguang
Liu, Li
Ye, Feng
Song, Ying
Tang, Yu
Men, Yu
Lambrou, Tryphon
Su, Zihua
Xu, Xiao
Ouyang, Han
Wu, Ning
author_facet Tao, Xiuli
Wang, Lvhua
Hui, Zhouguang
Liu, Li
Ye, Feng
Song, Ying
Tang, Yu
Men, Yu
Lambrou, Tryphon
Su, Zihua
Xu, Xiao
Ouyang, Han
Wu, Ning
author_sort Tao, Xiuli
collection PubMed
description In this prospective study, 36 patients with stage III non-small cell lung cancers (NSCLC), who underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo-radiotherapy (CCRT) were enrolled. Pharmacokinetic analysis was carried out after non-rigid motion registration. The perfusion parameters [including Blood Flow (BF), Blood Volume (BV), Mean Transit Time (MTT)] and permeability parameters [including endothelial transfer constant (K(trans)), reflux rate (K(ep)), fractional extravascular extracellular space volume (V(e)), fractional plasma volume (V(p))] were calculated, and their relationship with tumor regression was evaluated. The value of these parameters on predicting responders were calculated by receiver operating characteristic (ROC) curve. Multivariate logistic regression analysis was conducted to find the independent variables. Tumor regression rate is negatively correlated with V(e) and its standard variation V(e)_SD and positively correlated with K(trans) and K(ep). Significant differences between responders and non-responders existed in K(trans), K(ep), V(e), V(e)_SD, MTT, BV_SD and MTT_SD (P < 0.05). ROC indicated that V(e) < 0.24 gave the largest area under curve of 0.865 to predict responders. Multivariate logistic regression analysis also showed V(e) was a significant predictor. Baseline perfusion and permeability parameters calculated from DCE-MRI were seen to be a viable tool for predicting the early treatment response after CCRT of NSCLC.
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spelling pubmed-50718752016-10-26 DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC Tao, Xiuli Wang, Lvhua Hui, Zhouguang Liu, Li Ye, Feng Song, Ying Tang, Yu Men, Yu Lambrou, Tryphon Su, Zihua Xu, Xiao Ouyang, Han Wu, Ning Sci Rep Article In this prospective study, 36 patients with stage III non-small cell lung cancers (NSCLC), who underwent dynamic contrast-enhanced MRI (DCE-MRI) before concurrent chemo-radiotherapy (CCRT) were enrolled. Pharmacokinetic analysis was carried out after non-rigid motion registration. The perfusion parameters [including Blood Flow (BF), Blood Volume (BV), Mean Transit Time (MTT)] and permeability parameters [including endothelial transfer constant (K(trans)), reflux rate (K(ep)), fractional extravascular extracellular space volume (V(e)), fractional plasma volume (V(p))] were calculated, and their relationship with tumor regression was evaluated. The value of these parameters on predicting responders were calculated by receiver operating characteristic (ROC) curve. Multivariate logistic regression analysis was conducted to find the independent variables. Tumor regression rate is negatively correlated with V(e) and its standard variation V(e)_SD and positively correlated with K(trans) and K(ep). Significant differences between responders and non-responders existed in K(trans), K(ep), V(e), V(e)_SD, MTT, BV_SD and MTT_SD (P < 0.05). ROC indicated that V(e) < 0.24 gave the largest area under curve of 0.865 to predict responders. Multivariate logistic regression analysis also showed V(e) was a significant predictor. Baseline perfusion and permeability parameters calculated from DCE-MRI were seen to be a viable tool for predicting the early treatment response after CCRT of NSCLC. Nature Publishing Group 2016-10-20 /pmc/articles/PMC5071875/ /pubmed/27762331 http://dx.doi.org/10.1038/srep35569 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Tao, Xiuli
Wang, Lvhua
Hui, Zhouguang
Liu, Li
Ye, Feng
Song, Ying
Tang, Yu
Men, Yu
Lambrou, Tryphon
Su, Zihua
Xu, Xiao
Ouyang, Han
Wu, Ning
DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title_full DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title_fullStr DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title_full_unstemmed DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title_short DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC
title_sort dce-mri perfusion and permeability parameters as predictors of tumor response to ccrt in patients with locally advanced nsclc
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071875/
https://www.ncbi.nlm.nih.gov/pubmed/27762331
http://dx.doi.org/10.1038/srep35569
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