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Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis.

Publication ,  Journal Article
Li, BSY; Regal, J; Soher, BJ; Mannon, LJ; Grossman, RI; Gonen, O
Published in: AJNR Am J Neuroradiol
January 2003

BACKGROUND AND PURPOSE: Persistent T1-hypointense lesions ("black holes") are thought to represent permanent damage of brain parenchyma. We attempted to ascertain whether the metabolic profiles of these hypointense areas support this hypothesis and whether these profiles correlate with these hypointense findings. METHODS: Four patients with relapsing-remitting multiple sclerosis and four matched control volunteers underwent MR imaging and 3D proton MR spectroscopy. Absolute levels of N-acetylaspartate (NAA), creatine, and choline (Cho) were obtained in 0.19 cm(3) voxels containing 14 T1-hypointense lesions (average volume, 0.4 cm(3); range, 0.2-1.0 cm(3)) in patients. Metabolite levels were analyzed, by using Pearson correlation, against their respective lesions' hypointensity relative to the surrounding normal-appearing white matter. RESULTS: Moderate correlation, r = 0.56, was found between the NAA level and MR imaging hypointensity. Of the 14 lesions studied, 12 were deficient in NAA and 11 had excess Cho compared with corresponding brain regions in control volunteers. Only one lesion was significantly deficient in all three metabolites, indicative of total damage or matrix loss. CONCLUSION: No relationship was found between the hypointensity of the lesions and their metabolic profile. Specifically, lesions with the same hypointensity on T1-weighted MR images were metabolically variable (ie, displayed disparate metabolite levels and behavior). Also, although 86% of the lesions exhibited abnormally low NAA, 71% also had increased Cho. This indicates that although neuronal damage had already occurred (lower NAA), these lesions were still "smoldering" with active membrane turnover (high Cho), most likely because of de- and remyelination, indicative of shadow plaques (remyelinated lesions). Consequently, relapsing-remitting hypointense lesions represent neither final-stage nor static pathologic abnormality.

Duke Scholars

Published In

AJNR Am J Neuroradiol

ISSN

0195-6108

Publication Date

January 2003

Volume

24

Issue

1

Start / End Page

68 / 74

Location

United States

Related Subject Headings

  • Statistics as Topic
  • Nuclear Medicine & Medical Imaging
  • Multiple Sclerosis, Relapsing-Remitting
  • Male
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Female
 

Citation

APA
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MLA
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Li, B. S. Y., Regal, J., Soher, B. J., Mannon, L. J., Grossman, R. I., & Gonen, O. (2003). Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis. AJNR Am J Neuroradiol, 24(1), 68–74.
Li, Belinda S. Y., Juleiga Regal, Brian J. Soher, Lois J. Mannon, Robert I. Grossman, and Oded Gonen. “Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis.AJNR Am J Neuroradiol 24, no. 1 (January 2003): 68–74.
Li BSY, Regal J, Soher BJ, Mannon LJ, Grossman RI, Gonen O. Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis. AJNR Am J Neuroradiol. 2003 Jan;24(1):68–74.
Li, Belinda S. Y., et al. “Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis.AJNR Am J Neuroradiol, vol. 24, no. 1, Jan. 2003, pp. 68–74.
Li BSY, Regal J, Soher BJ, Mannon LJ, Grossman RI, Gonen O. Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis. AJNR Am J Neuroradiol. 2003 Jan;24(1):68–74.

Published In

AJNR Am J Neuroradiol

ISSN

0195-6108

Publication Date

January 2003

Volume

24

Issue

1

Start / End Page

68 / 74

Location

United States

Related Subject Headings

  • Statistics as Topic
  • Nuclear Medicine & Medical Imaging
  • Multiple Sclerosis, Relapsing-Remitting
  • Male
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Female