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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleHead & Neck
Open Access

Treatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis Imaging

N. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen and G. Wu
American Journal of Neuroradiology February 2019, 40 (2) 326-333; DOI: https://doi.org/10.3174/ajnr.A5925
N. Tu
aFrom the Departments of Radiology (N.T., X.W., F.X., G.W.)
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Y. Zhong
bRadiation and Medical Oncology (Y.Z., L.C.), Zhongnan Hospital of Wuhan University, Wuhan University, Hubei, China.
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X. Wang
aFrom the Departments of Radiology (N.T., X.W., F.X., G.W.)
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F. Xing
aFrom the Departments of Radiology (N.T., X.W., F.X., G.W.)
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L. Chen
bRadiation and Medical Oncology (Y.Z., L.C.), Zhongnan Hospital of Wuhan University, Wuhan University, Hubei, China.
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G. Wu
aFrom the Departments of Radiology (N.T., X.W., F.X., G.W.)
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Abstract

BACKGROUND AND PURPOSE: The prediction of treatment response is important in planning and modifying the chemoradiation therapy regimen. This study aimed to explore the quantitative histogram indices for treatment-response prediction of nasopharyngeal carcinoma based on diffusional kurtosis imaging compared with a standard ADC value (ADCstandard).

MATERIALS AND METHODS: Thirty-six patients with an initial diagnosis of locoregionally advanced nasopharyngeal carcinoma and diffusional kurtosis imaging acquisitions before and after neoadjuvant chemotherapy were enrolled. Patients were divided into respond-versus-nonrespond groups after neoadjuvant chemotherapy and residual-versus-nonresidual groups after radiation therapy. Histogram parameters of diffusional kurtosis imaging–derived parameters (ADC, ADC coefficient corrected by the non-Gaussain model [D], apparent kurtosis coefficient without a unit [K]) were calculated. The ADCstandard was calculated on the basis of intravoxel incoherent movement data. The intraclass correlation coefficient, Kolmogorov-Smirnov test, Student t test or Mann-Whitney U test, and receiver operating characteristic analysis were performed.

RESULTS: Most of the parameters had good-to-excellent consistency (intraclass correlation coefficient = 0.675–0.998). The pre-ADCstandard, pre-ADC (10th, 25th, 50th percentiles), pre-D (10th, 25th, 50th percentiles), and pre-K50th were significantly different between the respond and nonrespond groups, while the pre-ADC10th, pre-K90th, post-ADC50th, post-K75th, post-K90th, and the percentage change of parameters before and after neoadjuvant chemotherapy (▵ADC50th%) were significantly different between the residual and nonresidual groups (all P < .05). Receiver operating characteristic analysis indicated that setting pre-D50th = 0.875 × 10−3mm2/s as the cutoff value could result in optimal diagnostic performance for neoadjuvant chemotherapy response prediction (area under the curve = 0.814, sensitivity = 0.70, specificity = 0.92), while the post-K90th = 1.035 (area under the curve = 0.829, sensitivity = 0.78, specificity = 0.72), and▵ADC50th% = 0.253 (area under the curve = 0.833, sensitivity = 0.94, specificity = 0.72) were optimal for radiation therapy response prediction.

CONCLUSIONS: Histogram analysis of diffusional kurtosis imaging may potentially predict the neoadjuvant chemotherapy and short-term radiation therapy response in locoregionally advanced nasopharyngeal carcinoma, therefore providing evidence for modification of the treatment regimen.

ABBREVIATIONS:

CR
complete response
D
ADC coefficient corrected by the non-Gaussain model
DKI
diffusional kurtosis imaging
IMRT
intensity-modulated radiation therapy
K
apparent kurtosis coefficient without a unit
NAC
neoadjuvant chemotherapy
NPC
nasopharyngeal carcinoma
PR
partial response
SD
stable disease
▵ADC50th%
the percentage change of parameters before and after neoadjuvant chemotherapy
  • © 2019 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 40 (2)
American Journal of Neuroradiology
Vol. 40, Issue 2
1 Feb 2019
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Cite this article
N. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen, G. Wu
Treatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis Imaging
American Journal of Neuroradiology Feb 2019, 40 (2) 326-333; DOI: 10.3174/ajnr.A5925

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Treatment Response Prediction of Nasopharyngeal Carcinoma Based on Histogram Analysis of Diffusional Kurtosis Imaging
N. Tu, Y. Zhong, X. Wang, F. Xing, L. Chen, G. Wu
American Journal of Neuroradiology Feb 2019, 40 (2) 326-333; DOI: 10.3174/ajnr.A5925
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