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Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma

Purpose. To explore the potential of diffusion-weighted (DW) magnetic resonance imaging (MRI) using apparent diffusion coefficient (ADC) for predicting the response to neoadjuvant chemotherapy in nasopharyngeal carcinoma (NPC). Methods and Materials. Ninety-two consecutive patients with NPC who unde...

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Autores principales: Zhang, Guo-Yi, Wang, Yue-Jian, Liu, Jian-Ping, Zhou, Xin-Han, Xu, Zhi-Feng, Chen, Xiang-Ping, Xu, Tao, Wei, Wei-Hong, Zhang, Yang, Huang, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564581/
https://www.ncbi.nlm.nih.gov/pubmed/26413513
http://dx.doi.org/10.1155/2015/307943
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author Zhang, Guo-Yi
Wang, Yue-Jian
Liu, Jian-Ping
Zhou, Xin-Han
Xu, Zhi-Feng
Chen, Xiang-Ping
Xu, Tao
Wei, Wei-Hong
Zhang, Yang
Huang, Ying
author_facet Zhang, Guo-Yi
Wang, Yue-Jian
Liu, Jian-Ping
Zhou, Xin-Han
Xu, Zhi-Feng
Chen, Xiang-Ping
Xu, Tao
Wei, Wei-Hong
Zhang, Yang
Huang, Ying
author_sort Zhang, Guo-Yi
collection PubMed
description Purpose. To explore the potential of diffusion-weighted (DW) magnetic resonance imaging (MRI) using apparent diffusion coefficient (ADC) for predicting the response to neoadjuvant chemotherapy in nasopharyngeal carcinoma (NPC). Methods and Materials. Ninety-two consecutive patients with NPC who underwent three cycles of neoadjuvant chemotherapy were retrospectively analyzed. DW and anatomical MRI were performed before and after neoadjuvant chemotherapy prior to radiotherapy. Pretreatment ADCs and percentage increases in ADC after chemotherapy were calculated for the primary lesions and metastatic adenopathies. Receiver operating characteristic curve analysis was used to select optimal pretreatment ADCs. Results. Pretreatment mean ADCs were significantly lower for responders than for nonresponders (primary lesions, P = 0.012; metastatic adenopathies, P = 0.013). Mean percentage increases in ADC were higher for responders than for nonresponders (primary lesions, P = 0.008; metastatic adenopathies, P < 0.001). The optimal pretreatment primary lesion and metastatic adenopathy ADCs for differentiating responders from nonresponders were 0.897 × 10(−3) mm(2)/sec and 1.031 × 10(−3) mm(2)/sec, respectively. Conclusions. NPC patients with low pretreatment ADCs tend to respond better to neoadjuvant chemotherapy. Pretreatment ADCs could be used as a new pretreatment imaging biomarker of response to neoadjuvant chemotherapy.
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spelling pubmed-45645812015-09-27 Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma Zhang, Guo-Yi Wang, Yue-Jian Liu, Jian-Ping Zhou, Xin-Han Xu, Zhi-Feng Chen, Xiang-Ping Xu, Tao Wei, Wei-Hong Zhang, Yang Huang, Ying Biomed Res Int Clinical Study Purpose. To explore the potential of diffusion-weighted (DW) magnetic resonance imaging (MRI) using apparent diffusion coefficient (ADC) for predicting the response to neoadjuvant chemotherapy in nasopharyngeal carcinoma (NPC). Methods and Materials. Ninety-two consecutive patients with NPC who underwent three cycles of neoadjuvant chemotherapy were retrospectively analyzed. DW and anatomical MRI were performed before and after neoadjuvant chemotherapy prior to radiotherapy. Pretreatment ADCs and percentage increases in ADC after chemotherapy were calculated for the primary lesions and metastatic adenopathies. Receiver operating characteristic curve analysis was used to select optimal pretreatment ADCs. Results. Pretreatment mean ADCs were significantly lower for responders than for nonresponders (primary lesions, P = 0.012; metastatic adenopathies, P = 0.013). Mean percentage increases in ADC were higher for responders than for nonresponders (primary lesions, P = 0.008; metastatic adenopathies, P < 0.001). The optimal pretreatment primary lesion and metastatic adenopathy ADCs for differentiating responders from nonresponders were 0.897 × 10(−3) mm(2)/sec and 1.031 × 10(−3) mm(2)/sec, respectively. Conclusions. NPC patients with low pretreatment ADCs tend to respond better to neoadjuvant chemotherapy. Pretreatment ADCs could be used as a new pretreatment imaging biomarker of response to neoadjuvant chemotherapy. Hindawi Publishing Corporation 2015 2015-08-27 /pmc/articles/PMC4564581/ /pubmed/26413513 http://dx.doi.org/10.1155/2015/307943 Text en Copyright © 2015 Guo-Yi Zhang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Zhang, Guo-Yi
Wang, Yue-Jian
Liu, Jian-Ping
Zhou, Xin-Han
Xu, Zhi-Feng
Chen, Xiang-Ping
Xu, Tao
Wei, Wei-Hong
Zhang, Yang
Huang, Ying
Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title_full Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title_fullStr Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title_full_unstemmed Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title_short Pretreatment Diffusion-Weighted MRI Can Predict the Response to Neoadjuvant Chemotherapy in Patients with Nasopharyngeal Carcinoma
title_sort pretreatment diffusion-weighted mri can predict the response to neoadjuvant chemotherapy in patients with nasopharyngeal carcinoma
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564581/
https://www.ncbi.nlm.nih.gov/pubmed/26413513
http://dx.doi.org/10.1155/2015/307943
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