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- W4385545061 abstract "Diffuse gliomas demonstrate significant spatial heterogeneity which is not captured on standard anatomical MRI or with existing diffusion MRI (dMRI) methods. This is because current dMRI approaches provide voxel-averaged information about tissue composition and are based on a priori assumptions about underlying tissue microstructure, thus providing a simplified model of tissue properties. Here, we apply an unbiased, model-agnostic dMRI method (model-free diffusion tensor distribution (FDTD) and K-means clustering) to seven subjects with diffuse gliomas. We confirm the presence of intratumoral heterogeneity and find distinct differences in diffusion properties between gliomas of different histologic grades and pre- and post-treatment." @default.
- W4385545061 created "2023-08-04" @default.
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- W4385545061 date "2023-08-03" @default.
- W4385545061 modified "2023-09-27" @default.
- W4385545061 title "Investigating spatial heterogeneity in diffuse gliomas with ultra-high gradient diffusion MRI and a model-free diffusion tensor distribution" @default.
- W4385545061 doi "https://doi.org/10.58530/2022/3406" @default.
- W4385545061 hasPublicationYear "2023" @default.
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