Deep Gray Matter Perfusion in Multiple Sclerosis: Dynamic Susceptibility Contrast Perfusion Magnetic Resonance Imaging at 3 T

Arch Neurol. 2007 Feb;64(2):196-202. doi: 10.1001/archneur.64.2.196.

Abstract

Objectives: To assess the presence of perfusion abnormalities in the deep gray matter of patients with relapsing-remitting and primary progressive multiple sclerosis (MS) in comparison with healthy controls and to investigate the impact of perfusion impairment on clinical disability and fatigue.

Design: Survey.

Setting: Research-oriented hospital. Patients Twenty-two patients with MS and 11 age- and sex-matched healthy volunteers. Intervention Absolute cerebral blood flow, cerebral blood volume, and mean transit time were measured in the thalamus, putamen, and caudate nuclei.

Main outcome measures: Decrease of cerebral blood flow in the deep gray matter of patients with MS and correlation between perfusion impairment and the severity of fatigue.

Results: The cerebral blood flow value averaged over the thalamus, putamen, and caudate nuclei was significantly lower in patients with primary progressive MS (P<.001) and in patients with relapsing-remitting MS (P = .01) compared with controls, and there was a trend for patients with primary progressive MS to have lower average cerebral blood flow than patients with relapsing-remitting MS (P = .06). With respect to cerebral blood volume, there was a significant difference between patients with primary progressive MS and controls (P<.001) and between the 2 groups of patients (P = .03) but not between patients with relapsing-remitting MS and controls (P>.30). The fatigue score was significantly correlated with cerebral blood flow (r = 0.4; P<.001) and cerebral blood volume (r = 0.5; P = .004).

Conclusion: The decrease of tissue perfusion in the deep gray matter of patients with MS is associated with the severity of fatigue.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Analysis of Variance
  • Blood Flow Velocity
  • Blood Volume
  • Case-Control Studies
  • Cerebrovascular Circulation*
  • Disease Susceptibility*
  • Female
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Linear Models
  • Magnetic Resonance Angiography*
  • Male
  • Middle Aged
  • Multiple Sclerosis, Chronic Progressive / physiopathology*
  • Multiple Sclerosis, Relapsing-Remitting / physiopathology*