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Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review

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AMERICAN JOURNAL OF NEURORADIOLOGY
卷 43, 期 5, 页码 661-669

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AMER SOC NEURORADIOLOGY
DOI: 10.3174/ajnr.A7414

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Ischemic stroke is a global problem, and MR imaging plays a crucial role in understanding brain changes and predicting recovery after stroke, especially in the nonacute stage. Recent studies suggest that certain diffusion MR imaging methods are more effective in predicting motor scores and are more sensitive than traditional DTI methods.
Ischemic stroke is a worldwide problem, with 15 million people experiencing a stroke annually. MR imaging is a valuable tool for understanding and assessing brain changes after stroke and predicting recovery. Of particular interest is the use of diffusion MR imaging in the nonacute stage 1?30?days poststroke. Thousands of articles have been published on the use of diffusion MR imaging in stroke, including several recent articles reviewing the use of DTI for stroke. The goal of this work was to survey and put into context the recent use of diffusion MR imaging methods beyond DTI, including diffusional kurtosis, generalized fractional anisotropy, spherical harmonics methods, and neurite orientation and dispersion models, in patients poststroke. Early studies report that these types of beyond-DTI methods outperform DTI metrics either in being more sensitive to poststroke changes or by better predicting outcome motor scores. More and larger studies are needed to confirm the improved prediction of stroke recovery with the beyond-DTI methods.

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