AJDRAJNR - American Journal of Neuroradiology

Published ahead of print on September 24, 2007
doi: 10.3174/ajnr.A0646

This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
ajnr.A0646v1
28/9/1639    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ge, Y.
Right arrow Articles by Grossman, R.I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ge, Y.
Right arrow Articles by Grossman, R.I.

BRAIN

Quantitative Assessment of Iron Accumulation in the Deep Gray Matter of Multiple Sclerosis by Magnetic Field Correlation Imaging

Y. Gea, J.H. Jensena, H. Lua, J.A. Helperna, L. Milesa, M. Inglesea, J.S. Babba, J. Herbertb and R.I. Grossmana

a Center for Biomedical Imaging, Department of Radiology, New York University Medical Center, New York, NY
b Department of Neurology, MS Care Center, Hospital for Joint Diseases, New York University School of Medicine, New York, NY

Please address correspondence to Yulin Ge, MD, Department of Radiology/Center for Biomedical Imaging, New York University School of Medicine, 650 First Ave, 6th Floor, Room 615, New York, NY 10016; e-mail: yulin.ge{at}med.nyu.edu

BACKGROUND AND PURPOSE: Deposition of iron has been recognized recently as an important factor of pathophysiologic change including neurodegenerative processes in multiple sclerosis (MS). We propose that there is an excess accumulation of iron in the deep gray matter in patients with MS that can be measured with a newly developed quantitative MR technique—magnetic field correlation (MFC) imaging.

MATERIALS AND METHODS: With a 3T MR system, we studied 17 patients with relapsing-remitting MS and 14 age-matched healthy control subjects. We acquired MFC imaging using an asymmetric single-shot echo-planar imaging sequence. Regions of interest were selected in both deep gray matter and white matter regions, and the mean MFC values were compared between patients and controls. We also correlated the MFC data with lesion load and neuropsychologic tests in the patients.

RESULTS: MFC measured in the deep gray matter in patients with MS was significantly higher than that in the healthy controls (P ≤ .03), with an average increase of 24% in the globus pallidus, 39.5% in the putamen, and 30.6% in the thalamus. The increased iron deposition measured with MFC in the deep gray matter in the patients correlated positively with the total number of MS lesions (thalamus: r = 0.61, P = .01; globus pallidus: r = 0.52, P = .02). A moderate but significant correlation between the MFC value in the deep gray matter and the neuropsychologic tests was also found.

CONCLUSION: Quantitative measurements of iron content with MFC demonstrate increased accumulation of iron in the deep gray matter in patients with MS, which may be associated with the disrupted iron outflow pathway by lesions. Such abnormal accumulation of iron may contribute to neuropsychologic impairment and have implications for neurodegenerative processes in MS.