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

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/66642

Title: Non-invasive prediction of the tumor growth rate using advanced diffusion models in head and neck squamous cell carcinoma patients
Authors: Fujima, Noriyuki Browse this author →KAKEN DB
Sakashita, Tomohiro Browse this author →KAKEN DB
Homma, Akihiro Browse this author →KAKEN DB
Harada, Taisuke 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: head and neck squamous cell carcinoma
tumor growth rate
magnetic resonance imaging
diffusion weighted imaging
advanced diffusion model
Issue Date: 16-May-2017
Publisher: Impact Journals
Journal Title: Oncotarget
Volume: 8
Issue: 20
Start Page: 33631
End Page: 33643
Publisher DOI: 10.18632/oncotarget.16851
Abstract: 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.
Rights: http://creativecommons.org/licenses/by/3.0/
Type: article
URI: http://hdl.handle.net/2115/66642
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)
国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 藤間 憲幸

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