White matter bundles characteristic of multiple sclerosis patients on diffusion tensor imaging

  • Vũ Đình Triển Bệnh viện TWQĐ 108
  • Bùi Trọng Dương Bệnh viện TWQĐ 108
  • Nguyễn Tường Ngọc Linh Bệnh viện TWQĐ 108
  • Đồng Thị Thu Trang Bệnh viện TWQĐ 108
  • Lê Hải Sơn Bệnh viện TWQĐ 108

Main Article Content

Keywords

Multiple sclerosis, diffusion tensor imaging, white matter tracts, tractography, apparent diffusion coefficient.

Abstract

Objectives:To investigate microstructural alterations of major white matter tracts in patients with multiple sclerosis (MS) using 3.0 Tesla diffusion tensor imaging (DTI). Subjects and Methods: A cross-sectional study was conducted on 30 patients with multiple sclerosis and 30 healthy controls from November 2018 to June 2022. Diffusion tensor tractography was performed to evaluate major white matter tracts. Quantitative parameters included fiber number, voxel count, fractional anisotropy (FA), apparent diffusion coefficient (ADC), and fiber length. Results: Three-dimensional tractography showed no obvious abnormalities in the morphology or trajectory of the examined white matter tracts. Quantitative analysis demonstrated a trend toward reduced fiber number and voxel count in several tracts, particularly the temporo-occipital and fronto-occipital pathways, while the corticocerebellar tract showed a trend toward increased values. ADC values were generally higher across most white matter tracts, whereas FA values showed no clear differences between groups. Conclusions: DTI shows potential in reflecting microstructural alterations of white matter in patients with multiple sclerosis. However, these preliminary findings are suggestive and require further validation in studies with larger sample sizes.

Article Details

References

1. Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2): 162-173.
2. Bao J, Tu H, Li Y, Sun J, Hu Z, Zhang F et al (2022) Diffusion tensor imaging revealed microstructural changes in normal-appearing white matter regions in relapsing–remitting multiple sclerosis. Front Neurosci 16: 837452.
3. Kolasa M, Hakulinen U, Brander A, Hagman S, Dastidar P, Elovaara I et al (2019) Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study. Brain Behav 9(1): 01194.
4. Margoni M, Pagani E et al (2024) Cognitive impairment is related to glymphatic system dysfunction in pediatric multiple sclerosis. Ann Neurol 95(6): 1080-1092.
5. Mirabile A, Susinna C, Cipriano GL et al (2025) Correlation of cognitive dysfunctions and diffusion tensor MRI measures in subjects with relapsing–remitting multiple sclerosis. Front Aging Neurosci 17: 1661821.
6. Haghshomar M, Dolatshahi M et al (2018) Disruption of inferior longitudinal fasciculus microstructure in Parkinson's disease: A systematic review of diffusion tensor imaging studies. Front Aging Neurosci 9: 598.
7. Oh ME, Driever PH et al (2017) DTI fiber tractography of cerebro-cerebellar pathways and clinical evaluation of ataxia in childhood posterior fossa tumor survivors. Childs Nerv Syst 33(2): 267-276.
8. Inal M, Unal B et al (2025) ADC evaluation of the corticospinal tract in multiple sclerosis. Clin Imaging 39(2): 105-109.
9. Alsherif M, Soliman E et al (2022) Role of MRI diffusion tensor imaging in assessment of response of normal appearing white matter in cases of multiple sclerosis. Ain Shams Med J 73(2): 283–290.