Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients

Fujima, Noriyuki; Sakashita, Tomohiro; Homma, Akihiro; Harada, Taisuke; Shimizu, Yukie; Tha, Khin Khin; Kudo, Kohsuke; Shirato, Hiroki

Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients

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

Oncotarget, 2017, 8(20), 33631-33643

Permalink : https://hdl.handle.net/2115/66642

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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/66642
タイトル	Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients
著者	Fujima, Noriyuki ; Sakashita, Tomohiro ; Homma, Akihiro ; Harada, Taisuke ; Shimizu, Yukie ; Tha, Khin Khin ; 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 Harada, Taisuke
著者名 Shimizu, Yukie
e-Rad_Researcher 20451445 著者名 Tha, Khin Khin
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	head and neck squamous cell carcinoma
	tumor growth rate
	magnetic resonance imaging
	diffusion weighted imaging
	advanced diffusion model
発行日	2017-05-16
出版者	Impact Journals
収録物名	Oncotarget
巻(号)	8(20)
ページ	33631-33643
抄録	We assessed parameters of advanced diffusion weighted imaging (DWI) models for the prediction of the tumor growth rate in 55 head and neck squamous cell carcinoma (HNSCC) patients. The DWI acquisition used single-shot spin-echo echo-planar imaging with 12 b-values (0-2000). We calculated 14 DWI parameters using mono-exponential, bi-exponential, tri-exponential, stretched exponential and diffusion kurtosis imaging models. We directly measured the tumor growth rate from two sets of different-date imaging data. We divided the patients into a discovery group (n = 40) and validation group (n = 15) based on their MR acquisition dates. In the discovery group, we performed univariate and multivariate regression analyses to establish the multiple regression equation for the prediction of the tumor growth rate using diffusion parameters. The equation obtained with the discovery group was applied to the validation group for the confirmation of the equation's accuracy. After the univariate and multivariate regression analyses in the discovery-group patients, the estimated tumor growth rate equation was established by using the significant parameters of intermediate diffusion coefficient D2 and slow diffusion coefficient D3 obtained by the tri-exponential model. The discovery group's correlation coefficient between the estimated and directly measured tumor growth rates was 0.74. In the validation group, the correlation coefficient (r = 0.66) and intra-class correlation coefficient (0.65) between the estimated and directly measured tumor growth rates were respectively good. In conclusion, advanced DWI model parameters can be a predictor for determining HNSCC patients' tumor growth rate.
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 3.0 Unported
PISSN	1949-2553
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.18632/oncotarget.16851