4.5 Article

Diffusion Kurtosis Imaging Fiber Tractography of Major White Matter Tracts in Neurosurgery

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BRAIN SCIENCES
卷 11, 期 3, 页码 -

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MDPI
DOI: 10.3390/brainsci11030381

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diffusion tensor imaging; diffusion kurtosis imaging; fiber tractography; corticospinal tract; optic radiation; arcuate fascicle

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This study compared DTI- and DKI-based fiber tractography in CST, OR, and AF, finding that DKI showed significantly larger tract volumes in CST, similar results in OR with an exception in the right OR of patients, and comparable results in AF with DTI-based fiber tractography showing even significantly larger tract volumes in patients. DKI-based fiber tractography contributes to advanced visualization under clinical time constraints for CST and OR, while other models should be considered for AF.
Diffusion tensor imaging (DTI)-based fiber tractography is routinely used in clinical applications to visualize major white matter tracts, such as the corticospinal tract (CST), optic radiation (OR), and arcuate fascicle (AF). Nevertheless, DTI is limited due to its capability of resolving intra-voxel multi-fiber populations. Sophisticated models often require long acquisition times not applicable in clinical practice. Diffusion kurtosis imaging (DKI), as an extension of DTI, combines sophisticated modeling of the diffusion process with short acquisition times but has rarely been investigated in fiber tractography. In this study, DTI- and DKI-based fiber tractography of the CST, OR, and AF was investigated in healthy volunteers and glioma patients. For the CST, significantly larger tract volumes were seen in DKI-based fiber tractography. Similar results were obtained for the OR, except for the right OR in patients. In the case of the AF, results of both models were comparable with DTI-based fiber tractography showing even significantly larger tract volumes in patients. In the case of the CST and OR, DKI-based fiber tractography contributes to advanced visualization under clinical time constraints, whereas for the AF, other models should be considered.

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