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Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients
Title: | Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients |
Authors: | Fujima, Noriyuki Browse this author →KAKEN DB | Yoshida, Daisuke Browse this author | Sakashita, Tomohiro Browse this author →KAKEN DB | Homma, Akihiro Browse this author →KAKEN DB | Tsukahara, Akiko 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: | Magnetic resonance imaging | Squamous cell carcinoma of the head and neck | Diffusion magnetic resonance imaging | Prognosis | Treatment outcome |
Issue Date: | Mar-2017 |
Publisher: | Springer |
Journal Title: | European radiology |
Volume: | 27 |
Issue: | 3 |
Start Page: | 956 |
End Page: | 965 |
Publisher DOI: | 10.1007/s00330-016-4440-1 |
PMID: | 27255401 |
Abstract: | Objectives: To evaluate the diagnostic value of intravoxel incoherent motion (IVIM) and diffusional kurtosis imaging (DKI) parameters in nasal or sinonasal squamous cell carcinoma (SCC) patients to determine local control/failure. Methods: Twenty-eight patients were evaluated. MR acquisition used single-shot spin-echo EPI with 12 b-values. Quantitative parameters (mean value, 25th, 50th and 75th percentiles) of IVIM (perfusion fraction f, pseudo-diffusion coefficient D*, and true-diffusion coefficient D), DKI (kurtosis value K, kurtosis corrected diffusion coefficient Dk) and apparent diffusion coefficient (ADC) were calculated. Parameter values at both the pretreatment and early-treatment period, and the percentage change between these two periods were obtained. Results: Multivariate logistic regression analysis: the percentage changes of D (mean, 25th, 50th, 75th), K (mean, 50th, 75th), Dk (mean, 25th, 50th), and ADC (mean, 25th, 50th) were predictors of local control. ROC curve analysis: the parameter with the highest accuracy = the percentage change of D value with the histogram 25th percentile (0.93 diagnostic accuracy). Multivariate Cox regression analyses: the percentage changes of D (mean, 25th, 50th), K (mean, 50th, 75th), Dk (mean, 25th, 50th) and ADC (mean, 25th, 50th) are predictors. Conclusions: IVIM and DKI parameters, especially the D-value's histogram 25th percentile, are useful for predicting local control. |
Rights: | The original publication is available at www.springerlink.com |
Type: | article (author version) |
URI: | http://hdl.handle.net/2115/68399 |
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)
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Submitter: 藤間 憲幸
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