Diffusion tensor imaging in multiple sclerosis at different final outcomes
Journal article, 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
Radial diffusivity
Relapsing-remitting phase
Magnetic resonance imaging
Secondary progressive phase
Multiple sclerosis
Axial diffusivity
Author
O. Andersen
University of Gothenburg
Anders Hildeman
University of Gothenburg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Marco Longfils
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
University of Gothenburg
H. Tedeholm
University of Gothenburg
B. Skoog
University of Gothenburg
W. Tian
University of Rochester
J. Zhong
University of Rochester
S. Ekholm
University of Rochester
University of Gothenburg
L. Novakova
University of Gothenburg
B. Runmarker
University of Gothenburg
Olle Nerman
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
University of Gothenburg
S. A. Maier
University of Gothenburg
Acta Neurologica Scandinavica
0001-6314 (ISSN) 1600-0404 (eISSN)
Vol. 137 2 165-173Subject Categories (SSIF 2011)
Rheumatology and Autoimmunity
Neurology
Radiology, Nuclear Medicine and Medical Imaging
DOI
10.1111/ane.12797
PubMed
28741711