In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI

Abstract In this prospective study, we compared the performance of readout segmentation of long variable echo trains of diffusion-weighted imaging (RESOLVE DWI) and diffusion kurtosis imaging (DKI) for the prediction of radiotherapy response in patients with nasopharyngeal carcinoma (NPC). Forty-one...

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Autores principales: Wei-Yuan Huang, Meng-Meng Li, Shao-Min Lin, Feng Chen, Kai Yang, Xiao-Lei Zhu, Gang Wu, Jian-Jun Li
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Publicado: Nature Portfolio 2018
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spelling oai:doaj.org-article:3ae7ba768afa4a309cbab3a4bc8463042021-12-02T15:08:06ZIn Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI10.1038/s41598-018-34072-92045-2322https://doaj.org/article/3ae7ba768afa4a309cbab3a4bc8463042018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-34072-9https://doaj.org/toc/2045-2322Abstract In this prospective study, we compared the performance of readout segmentation of long variable echo trains of diffusion-weighted imaging (RESOLVE DWI) and diffusion kurtosis imaging (DKI) for the prediction of radiotherapy response in patients with nasopharyngeal carcinoma (NPC). Forty-one patients with NPC were evaluated. All patients underwent conventional MRI, RESOLVE DWI and DKI, before and after radiotherapy. All patients underwent conventional MRI every 3 months until 1 year after radiotherapy. The patients were divided into response group (RG; 36/41 patients) and no-response group (NRG; 5/41 patients) based on follow-up results. DKI (the mean of kurtosis coefficient, Kmean and the mean of diffusion coefficient, Dmean) and RESOLVE DWI (the minimum apparent diffusion coefficient, ADCmin) parameters were calculated. Parameter values at the pre-treatment period, post-treatment period, and the percentage change between these 2 periods were obtained. All parameters differed between the RG and NRG groups except for the pretreatment Dmean and ADCmin. Kmean-post was considered as an independent predictor of local control, with 87.5% sensitivity and 91.3% specificity (optimal threshold = 0.30, AUC: 0.924; 95% CI, 0.83–1.00). Kmean-post values of DKI have the potential to be used as imaging biomarkers for the early evaluation of treatment effects of radiotherapy on NPC.Wei-Yuan HuangMeng-Meng LiShao-Min LinFeng ChenKai YangXiao-Lei ZhuGang WuJian-Jun LiNature PortfolioarticleDiffusion Kurtosis Imaging (DKI)Nasopharyngeal Carcinoma (NPC)Predicts Radiation ResponseReadout SegmentationMinimum Apparent Diffusion CoefficientMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-8 (2018)
institution DOAJ
collection DOAJ
language EN
topic Diffusion Kurtosis Imaging (DKI)
Nasopharyngeal Carcinoma (NPC)
Predicts Radiation Response
Readout Segmentation
Minimum Apparent Diffusion Coefficient
Medicine
R
Science
Q
spellingShingle Diffusion Kurtosis Imaging (DKI)
Nasopharyngeal Carcinoma (NPC)
Predicts Radiation Response
Readout Segmentation
Minimum Apparent Diffusion Coefficient
Medicine
R
Science
Q
Wei-Yuan Huang
Meng-Meng Li
Shao-Min Lin
Feng Chen
Kai Yang
Xiao-Lei Zhu
Gang Wu
Jian-Jun Li
In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
description Abstract In this prospective study, we compared the performance of readout segmentation of long variable echo trains of diffusion-weighted imaging (RESOLVE DWI) and diffusion kurtosis imaging (DKI) for the prediction of radiotherapy response in patients with nasopharyngeal carcinoma (NPC). Forty-one patients with NPC were evaluated. All patients underwent conventional MRI, RESOLVE DWI and DKI, before and after radiotherapy. All patients underwent conventional MRI every 3 months until 1 year after radiotherapy. The patients were divided into response group (RG; 36/41 patients) and no-response group (NRG; 5/41 patients) based on follow-up results. DKI (the mean of kurtosis coefficient, Kmean and the mean of diffusion coefficient, Dmean) and RESOLVE DWI (the minimum apparent diffusion coefficient, ADCmin) parameters were calculated. Parameter values at the pre-treatment period, post-treatment period, and the percentage change between these 2 periods were obtained. All parameters differed between the RG and NRG groups except for the pretreatment Dmean and ADCmin. Kmean-post was considered as an independent predictor of local control, with 87.5% sensitivity and 91.3% specificity (optimal threshold = 0.30, AUC: 0.924; 95% CI, 0.83–1.00). Kmean-post values of DKI have the potential to be used as imaging biomarkers for the early evaluation of treatment effects of radiotherapy on NPC.
format article
author Wei-Yuan Huang
Meng-Meng Li
Shao-Min Lin
Feng Chen
Kai Yang
Xiao-Lei Zhu
Gang Wu
Jian-Jun Li
author_facet Wei-Yuan Huang
Meng-Meng Li
Shao-Min Lin
Feng Chen
Kai Yang
Xiao-Lei Zhu
Gang Wu
Jian-Jun Li
author_sort Wei-Yuan Huang
title In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
title_short In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
title_full In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
title_fullStr In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
title_full_unstemmed In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI
title_sort in vivo imaging markers for prediction of radiotherapy response in patients with nasopharyngeal carcinoma: resolve dwi versus dki
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/3ae7ba768afa4a309cbab3a4bc846304
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