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Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/68399

Title: Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients
Authors: Fujima, Noriyuki Browse this author →KAKEN DB
Yoshida, Daisuke Browse this author
Sakashita, Tomohiro Browse this author →KAKEN DB
Homma, Akihiro Browse this author →KAKEN DB
Tsukahara, Akiko Browse this author
Shimizu, Yukie Browse this author
Tha, Khin Khin Browse this author →KAKEN DB
Kudo, Kohsuke Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: Magnetic resonance imaging
Squamous cell carcinoma of the head and neck
Diffusion magnetic resonance imaging
Prognosis
Treatment outcome
Issue Date: Mar-2017
Publisher: Springer
Journal Title: European radiology
Volume: 27
Issue: 3
Start Page: 956
End Page: 965
Publisher DOI: 10.1007/s00330-016-4440-1
PMID: 27255401
Abstract: Objectives: To evaluate the diagnostic value of intravoxel incoherent motion (IVIM) and diffusional kurtosis imaging (DKI) parameters in nasal or sinonasal squamous cell carcinoma (SCC) patients to determine local control/failure. Methods: Twenty-eight patients were evaluated. MR acquisition used single-shot spin-echo EPI with 12 b-values. Quantitative parameters (mean value, 25th, 50th and 75th percentiles) of IVIM (perfusion fraction f, pseudo-diffusion coefficient D*, and true-diffusion coefficient D), DKI (kurtosis value K, kurtosis corrected diffusion coefficient Dk) and apparent diffusion coefficient (ADC) were calculated. Parameter values at both the pretreatment and early-treatment period, and the percentage change between these two periods were obtained. Results: Multivariate logistic regression analysis: the percentage changes of D (mean, 25th, 50th, 75th), K (mean, 50th, 75th), Dk (mean, 25th, 50th), and ADC (mean, 25th, 50th) were predictors of local control. ROC curve analysis: the parameter with the highest accuracy = the percentage change of D value with the histogram 25th percentile (0.93 diagnostic accuracy). Multivariate Cox regression analyses: the percentage changes of D (mean, 25th, 50th), K (mean, 50th, 75th), Dk (mean, 25th, 50th) and ADC (mean, 25th, 50th) are predictors. Conclusions: IVIM and DKI parameters, especially the D-value's histogram 25th percentile, are useful for predicting local control.
Rights: The original publication is available at www.springerlink.com
Type: article (author version)
URI: http://hdl.handle.net/2115/68399
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 藤間 憲幸

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