Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients

Fujima, Noriyuki; Sakashita, Tomohiro; Homma, Akihiro; Yoshida, Daisuke; Kudo, Kohsuke; Shirato, Hiroki

Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients

Fujima, Noriyuki; Sakashita, Tomohiro; Homma, Akihiro et al.

Magnetic Resonance in Medical Sciences, 2018, 17(1), 21-27

Permalink : https://hdl.handle.net/2115/74024

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アクセス権	open access
URI	https://hdl.handle.net/2115/74024
タイトル	Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients
著者	Fujima, Noriyuki ; Sakashita, Tomohiro ; Homma, Akihiro ; Yoshida, Daisuke ; Kudo, Kohsuke ; Shirato, Hiroki
e-Rad_Researcher 80431360 著者名 Fujima, Noriyuki
e-Rad_Researcher 30455654 著者名 Sakashita, Tomohiro
e-Rad_Researcher 30312359 著者名 Homma, Akihiro
著者名 Yoshida, Daisuke
e-Rad_Researcher 10374232 著者名 Kudo, Kohsuke
e-Rad_Researcher 20187537 著者名 Shirato, Hiroki
キーワード	diffusion-weighted imaging
	intravoxel incoherent motion
	diffusional kurtosis imaging
	head and neck squamous cell carcinoma
発行日	2018
出版者	Japan Society of Magnetic Resonance in Medicine
収録物名	Magnetic Resonance in Medical Sciences
巻(号)	17(1)
ページ	21-27
抄録	Purpose: To evaluate the diagnostic power of hybrid intravoxel incoherent motion (IVIM)-diffusion kurtosis imaging (DKI) model parameters in pretreatment for the prediction of future distant metastasis in head and neck squamous cell carcinoma (HNSCC) patients. Materials and Methods: We retrospectively evaluated 49 HNSCC patients who underwent curative chemoradiation therapy. Diffusion-weighted image (DWI) acquired by single-shot spin-echo echo-planar imaging with 12 b-values (0–2000) was performed in all patients before any treatment. We calculated the IVIM-DKI parameters and the conventional apparent diffusion coefficient (ADC) in the ROI placed on the primary lesion. The presence of future distant metastasis was determined by histological findings or clinical follow-up. Results: A univariate analysis revealed significant differences between the patients with distant metastasis and those without in slow diffusion coefficient (D) and kurtosis value (K). Highest diagnostic accuracy was obtained by the D value. In addition, a multivariate analysis revealed that the D value was an independent predictor of future distant metastasis. Conclusion: The D and K values obtained by this hybrid IVIM-DKI model can be one of the diagnostic tools for the prediction of future distant metastasis in HNSCC patients.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
PISSN	1347-3182
EISSN	1880-2206
関連情報	PMID 28515412
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.2463/mrms.mp.2016-0136