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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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| 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)
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Submitter: 藤間 憲幸
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