Diffusion tensor imaging in multiple sclerosis at different final outcomes
Artikel i vetenskaplig tidskrift, 2018

OBJECTIVES: Methods to evaluate the relative contributions of demyelination vs axonal degeneration over the long-term course of MS are urgently needed. We used magnetic resonance diffusion tensor imaging (DTI) to estimate degrees of demyelination and axonal degeneration in the corpus callosum (CC) in cases of MS with different final outcomes. MATERIALS AND METHODS: We determined DTI measures mean diffusivity (MD), fractional anisotropy (FA), and axial (AD) and radial (RD) diffusivities in the CC of 31 MS patients, of whom 13 presented a secondary progressive course, 11 a non-progressive course, and seven a monophasic course. The study participants were survivors from an incidence cohort of 254 attack-onset MS patients with 50 years of longitudinal follow-up. As reference, we included five healthy individuals without significant morbidity. RESULTS: In patients with secondary progression, compared to all other groups, the corpus callosum showed increased RD and reduced FA, but no change in AD. None of the parameters exhibited differences among non-progressive and monophasic course groups and controls. CONCLUSION: Increased RD was observed in secondary progressive MS, indicating significant myelin loss. Normal RD values observed in the clinically isolated syndrome and non-progressive groups confirm their benign nature. AD was not a characterizing parameter for long-term outcome. Demyelination revealed by increased RD is a distinguishing trait for secondary progression.

Diffusion tensor imaging

Fractional anisometropy

Magnetic resonance imaging

Axial diffusivity

Multiple sclerosis

Secondary progressive phase

Relapsing-remitting phase

Radial diffusivity

Författare

O. Andersen

Göteborgs universitet

Anders Hildeman

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Marco Longfils

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Göteborgs universitet

H. Tedeholm

Göteborgs universitet

B. Skoog

Göteborgs universitet

W. Tian

University of Rochester

J. Zhong

University of Rochester

S. Ekholm

University of Rochester

Göteborgs universitet

L. Novakova

Göteborgs universitet

B. Runmarker

Göteborgs universitet

Olle Nerman

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Göteborgs universitet

S. A. Maier

Göteborgs universitet

Acta Neurologica Scandinavica

0001-6314 (ISSN) 1600-0404 (eISSN)

Vol. 137 2 165-173

Ämneskategorier

Reumatologi och inflammation

Neurologi

Radiologi och bildbehandling

DOI

10.1111/ane.12797

PubMed

28741711

Mer information

Senast uppdaterat

2020-03-05