Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients

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

Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients

Fujima, Noriyuki; Yoshida, Daisuke; Sakashita, Tomohiro et al.

European journal of radiology, 2017, 90, 14-19

Permalink : https://hdl.handle.net/2115/70028

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/70028
タイトル	Residual tumour detection in post-treatment granulation tissue by using advanced diffusion models in head and neck squamous cell carcinoma patients
著者	Fujima, Noriyuki ; Yoshida, Daisuke ; Sakashita, Tomohiro ; Homma, Akihiro ; Kudo, Kohsuke ; Shirato, Hiroki
e-Rad_Researcher 80431360 著者名 Fujima, Noriyuki
著者名 Yoshida, Daisuke
e-Rad_Researcher 30455654 著者名 Sakashita, Tomohiro
e-Rad_Researcher 30312359 著者名 Homma, Akihiro
e-Rad_Researcher 10374232 著者名 Kudo, Kohsuke
e-Rad_Researcher 20187537 著者名 Shirato, Hiroki
言語	英語
キーワード	Diffusion weighted imaging
	Advanced diffusion model
	Residual tumour
	Post-treatment granulation tissue
	Head and neck squamous cell carcinoma
発行日	2017-05
出版者	Elsevier
収録物名	European journal of radiology
巻(号)	90
ページ	14-19
抄録	Purpose: To evaluate the detectability of the residual tumour in post-treatment granulation tissue using parameters obtained with an advanced diffusion model in patients with head and neck squamous cell carcinoma (HNSCC) treated by chemoradiation therapy. Materials and methods: We retrospectively evaluated 23 patients with HNSCC after the full course of chemoradiation therapy. The diffusion-weighted image (DWI) acquisition used single-shot spin-echo echo-planar imaging with 11 b-values (0-1000). We calculated 10 DWI parameters using a mono-exponential model, a bi-exponential model, a stretched exponential model (SEM), a diffusion kurtosis imaging (DKI) model and a statistical diffusion model (SDM) in the region of interest (ROI) placed on the post-treatment granulation tissue. The presence of residual tumour was determined by histological findings or clinical follow-up. Results: Among the 23 patients, seven patients were revealed to have residual tumour. The univariate analysis revealed significant differences in six parameters between the patients with and without residual tumour. From the receiver operating characteristic curve analysis, the highest area under curve was detected in the center of the Gaussian distribution of diffusion coefficient (Ds) obtained by the SDM. The multivariate analysis revealed that the Ds and diffusion heterogeneity (α) obtained by the SEM were predictors for the presence of residual tumour. Conclusion: DWI parameters obtained by advanced fitting models will be one of the diagnostic tools for the detection of residual tumour.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
権利情報	© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
PISSN	0720-048X
関連情報	PMID 28583625
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.ejrad.2017.02.025