Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1782389456241688576 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4564581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhangguoyi pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT wangyuejian pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT liujianping pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT zhouxinhan pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT xuzhifeng pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT chenxiangping pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT xutao pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT weiweihong pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT zhangyang pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma AT huangying pretreatmentdiffusionweightedmricanpredicttheresponsetoneoadjuvantchemotherapyinpatientswithnasopharyngealcarcinoma |