|
|
Hokkaido University Collection of Scholarly and Academic Papers >
Hokkaido University Hospital >
Peer-reviewed Journal Articles, etc >
Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma : Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI
| Title: | Intravoxel incoherent motion diffusion-weighted imaging in head and neck squamous cell carcinoma : Assessment of perfusion-related parameters compared to dynamic contrast-enhanced MRI |
| 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 | | Tha, Khin Khin Browse this author →KAKEN DB | | Kudo, Kohsuke Browse this author →KAKEN DB | | Shirato, Hiroki Browse this author →KAKEN DB |
| Keywords: | Intravoxel incoherent motion | | Diffusion-weighted imaging | | Head and neck squamous cell carcinoma | | Dynamic contrast-enhanced MRI |
| Issue Date: | Dec-2014 |
| Publisher: | Elsevier |
| Journal Title: | Magnetic resonance imaging |
| Volume: | 32 |
| Issue: | 10 |
| Start Page: | 1206 |
| End Page: | 1213 |
| Publisher DOI: | 10.1016/j.mri.2014.08.009 |
| PMID: | 25131628 |
| Abstract: | Purpose: To investigate the correlation between perfusion-related parameters obtained with intravoxel incoherent motion (IVIM) and classical perfusion parameters obtained with dynamic contrast-enhanced (DCE) magnetic resonance imaging in patients with head and neck squamous cell carcinoma (HNSCC), and to compare direct and asymptotic fitting, the pixel-by-pixel approach, and a region of interest (ROI)-based approach respectively for IVIM parameter calculation. Materials and methods: Seventeen patients with HNSCC were included in this retrospective study. All magnetic resonance (MR) scanning was performed using a 3 T MR unit. Acquisition of IVIM was performed using single-shot spin-echo echo-planar imaging with three orthogonal gradients with 12 b-values (0, 10, 20, 30, 50, 80, 100, 200, 400, 800, 1000, and 2000). Perfusion-related parameters of perfusion fraction 'f' and the pseudo-diffusion coefficient 'D*' were calculated from IVIM data by using least square fitting with the two fitting methods of direct and asymptotic fitting, respectively. DCE perfusion was performed in a total of 64 dynamic phases with a 3.2-s phase interval. The two-compartment exchange model was used for the quantification of tumor blood volume (TBV) and tumor blood flow (TBF). Each tumor was delineated with a polygonal ROI for the calculation of f, f center dot D* performed using both the pixel-by-pixel approach and the ROI-based approach. In the pixel-by-pixel approach, after fitting each pixel to obtain f, f center dot D* maps, the mean value in the delineated ROI on these maps was calculated. In the ROI-based approach, the mean value of signal intensity was calculated within the ROI for each b-value in IVIM images, and then fitting was performed using these values. Correlations between fin a total of four combinations (direct or asymptotic fitting and pixel-by-pixel or ROI-based approach) and TBV were respectively analyzed using Pearson's correlation coefficients. Correlations between f center dot D* and TBF were also similarly analyzed. Results: In all combinations of f and TBV, f center dot D* and TBF, there was a significant correlation. In the comparison of f and TBV, a moderate correlation was observed only between f obtained by direct fitting with the pixel-by-pixel approach, whereas a good correlation was observed in the comparisons using the other three combinations. In the comparison of f center dot D* and TBF, a good correlation was observed only with f center dot D* obtained by asymptotic fitting with the ROI-based approach. In contrast, moderate correlations were observed in the comparisons using the other three combinations. Conclusion: IVIM was found to be feasible for the analysis of perfusion-related parameters in patients with HNSCC. Especially, the combination of asymptotic fitting with the ROI-based approach was better correlated with DCE perfusion. (C) 2014 Elsevier Inc. All rights reserved. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/57770 |
| Appears in Collections: | 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)
北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 藤間 憲幸
|
