Machine learning-based prediction of motor status in glioma patients using diffusion MRI metrics along the corticospinal tract.

ABSTRACT: Along tract statistics enables white matter characterization using various diffusion MRI metrics. These diffusion models reveal detailed insights into white matter microstructural changes with development, pathology and function. Here, we aim at assessing the clinical utility of diffusion MRI metrics along the corticospinal tract, investigating whether motor glioma patients can be classified with respect to their motor status. We retrospectively included 116 brain tumour patients suffering from either left or right supratentorial, unilateral World Health Organization Grades II, III and IV gliomas with a mean age of 53.51 ± 16.32 years. Around 37% of patients presented with preoperative motor function deficits according to the Medical Research Council scale. At group level comparison, the h

SUBMITTER: Shams B 

PROVIDER: S-EPMC9175193 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature