Three‐Dimensional Lesion Phenotyping and Physiologic Characterization Inform Remyelination Ability in Multiple Sclerosis

  title={Three‐Dimensional Lesion Phenotyping and Physiologic Characterization Inform Remyelination Ability in Multiple Sclerosis},
  author={Dinesh K. Sivakolundu and Madison Hansen and Kathryn L. West and Yeqi Wang and Thomas Stanley and Andrew Wilson and Morgan McCreary and Monroe P. Turner and Marco C. Pinho and Braeden D. Newton and Xiaohu Guo and Bart Rypma and Darin T. Okuda},
  journal={Journal of Neuroimaging},
Multiple sclerosis (MS) clinical management is based upon lesion characterization from 2‐dimensional (2D) magnetic resonance imaging (MRI) views. Such views fail to convey the lesion‐phenotype (ie, shape and surface texture) complexity, underlying metabolic alterations, and remyelination potential. We utilized a 3‐dimensional (3D) lesion phenotyping approach coupled with imaging to study physiologic profiles within and around MS lesions and their impacts on lesion phenotypes. 
Utility of shape evolution and displacement in the classification of chronic multiple sclerosis lesions
Longitudinal 3D shape evolution and displacement characteristics may improve lesion classification, adding to MRI techniques aimed at improving lesion specificity.
BOLD signal within and around white matter lesions distinguishes multiple sclerosis and non-specific white matter disease: a three-dimensional approach
The physiologic profiles within and around MS and NSWMD lesions and their ability to distinguish the two disease states are investigated and it is suggested that this technique shows promise for clinical utility in distinguishing NSWMD or MS disease states and identifyingNSMD lesions occurring in MS patients.
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Direction and magnitude of displacement differ between slowly expanding and non-expanding multiple sclerosis lesions as compared to small vessel disease
Lesion dynamics may reveal distinct characteristics associated with the biology of disease while providing further insights into the behavior of inflammatory CNS disorders.


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