MR imaging quantitation of gray matter involvement in multiple sclerosis and its correlation with disability measures and neurocognitive testing.

BACKGROUND AND PURPOSE Multiple sclerosis (MS) is the most common inflammatory disease of the central nervous system and manifests both physical and neurocognitive disabilities. Although predominantly a disease of the white matter, MS is also characterized by lesions in the gray matter. Previous pathologic studies have found that cortical and deep gray matter lesions comprised 5% and 4%, respectively, of total lesions. Using software for lesion detection and quantitation, our study was designed to determine MS involvement in the cortical and deep gray matter and to correlate gray matter lesion load with neurocognitive function and the Kurtzke Expanded Disability Status Scale. METHODS Using a semiautomated segmentation algorithm that detected and delineated all possible brain MS lesions on MR images, we investigated gray matter lesion volume in 18 patients with untreated relapsing-remitting MS. Cortical and deep gray matter lesions then were correlated with the neurocognitive and physical disability measurements. RESULTS We found that cortical gray matter lesions comprised approximately 5.7% of the total lesion volume, whereas deep gray matter lesions comprised another 4.6% in this patient cohort. No strong correlations were found between gray matter lesions and disability status or neurocognitive function. CONCLUSION These results are similar to those found in previous pathologic studies. The cortical lesion load in cases of relapsing-remitting MS, as measured by MR imaging, represents less than 6% of the total lesion volume and does not correlate with disability measures or neurocognitive tests.

[1]  A. Nieto,et al.  [Neuropsychological assessment in multiple sclerosis]. , 2000, Revista de neurologia.

[2]  J. K. Udupa,et al.  Isolated U-fiber involvement in MS , 1998, Neurology.

[3]  Supun Samarasekera,et al.  Multiple sclerosis lesion quantification using fuzzy-connectedness principles , 1997, IEEE Transactions on Medical Imaging.

[4]  R Kikinis,et al.  Serial neuropsychological assessment and magnetic resonance imaging analysis in multiple sclerosis. , 1997, Archives of neurology.

[5]  M. Rovaris,et al.  Sensitivity and Reproducibility of Fast‐FLAIR, FSE, and TGSE Sequences for the MRI Assessment of Brain Lesion Load in Multiple Sclerosis: A Preliminary Study , 1997, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[6]  A. Thompson,et al.  Spinal cord atrophy and disability in multiple sclerosis. A new reproducible and sensitive MRI method with potential to monitor disease progression. , 1996, Brain : a journal of neurology.

[7]  C Becker,et al.  Quantitative assessment of MRI lesion load in multiple sclerosis. A comparison of conventional spin-echo with fast fluid-attenuated inversion recovery. , 1996, Brain : a journal of neurology.

[8]  Massimo Filippi,et al.  Brain MRI correlates of cognitive impairment in primary and secondary progressive multiple sclerosis , 1995, Journal of the Neurological Sciences.

[9]  A J Thompson,et al.  Correlations between changes in disability and T2‐weighted brain MRI activity in multiple sclerosis , 1995, Neurology.

[10]  G. Barker,et al.  Detection of multiple sclerosis by magnetic resonance imaging , 1994, The Lancet.

[11]  Dewey Odhner,et al.  3DVIEWNIX: an open, transportable, multidimensional, multimodality, multiparametric imaging software system , 1994, Medical Imaging.

[12]  J. Grafman,et al.  Relationship between frontal lobe lesions and Wisconsin Card Sorting Test performance in patients with multiple sclerosis , 1994, Neurology.

[13]  Jeffrey A. Cohen,et al.  Patterns of cognitive impairment in relapsing-remitting and chronic progressive multiple sclerosis , 1994 .

[14]  M. Prosiegel,et al.  Neuropsychology and multiple sclerosis: Diagnostic and rehabilitative approaches , 1993, Journal of the Neurological Sciences.

[15]  G. Comi,et al.  Brain magnetic resonance imaging correlates of cognitive impairment in multiple sclerosis , 1993, Journal of the Neurological Sciences.

[16]  J V Hajnal,et al.  MR of the brain using fluid-attenuated inversion recovery (FLAIR) pulse sequences. , 1992, AJNR. American journal of neuroradiology.

[17]  Joseph V. Hajnal,et al.  Use of Fluid Attenuated Inversion Recovery (FLAIR) Pulse Sequences in MRI of the Brain , 1992, Journal of computer assisted tomography.

[18]  M. Ron,et al.  Clinically isolated lesions of the type seen in multiple sclerosis: a cognitive, psychiatric, and MRI follow up study. , 1992, Journal of neurology, neurosurgery, and psychiatry.

[19]  R. Bergamaschi,et al.  Neuropsychological assessment in MS: clinical, neurophysiological and neuroradiological relationships , 1992, Acta neurologica Scandinavica.

[20]  R. Knobler,et al.  Neuropsychological and structural brain lesions in multiple sclerosis , 1992, Neurology.

[21]  A. Jennekens‐Schinkel,et al.  Neuropsychological assessment in patients with multiple sclerosis and mild functional impairment. , 1991, Journal of neurology, neurosurgery, and psychiatry.

[22]  Stephen M. Rao,et al.  Cognitive dysfunction in multiple sclerosis. , 1991, Neurology.

[23]  Richard L. Abbott,et al.  A Follow-up Study , 1990 .

[24]  S. Cappa,et al.  Neuropsychological assessment in patients with relapsing-remitting multiple sclerosis and mild functional impairment: correlation with magnetic resonance imaging. , 1990, Journal of neurology, neurosurgery, and psychiatry.

[25]  K. Syndulko,et al.  Quantitative multiple sclerosis plaque assessment with magnetic resonance imaging. Its correlation with clinical parameters, evoked potentials, and intra-blood-brain barrier IgG synthesis. , 1990, Archives of neurology.

[26]  E. Warrington,et al.  Cognitive impairment in patients with clinically isolated lesions of the type seen in multiple sclerosis. A psychometric and MRI study. , 1989, Brain : a journal of neurology.

[27]  R. Heaton,et al.  A comparison of dementia in Alzheimer's disease and multiple sclerosis. , 1989, Archives of neurology.

[28]  R. Heaton,et al.  Cognitive loss in multiple sclerosis. Case reports and review of the literature. , 1989, Archives of neurology.

[29]  V. Haughton,et al.  Correlation of magnetic resonance imaging with neuropsychological testing in multiple sclerosis , 1989, Neurology.

[30]  L. Gauthier,et al.  The Bells Test: A quantitative and qualitative test for visual neglect. , 1989 .

[31]  R. Heaton,et al.  Correlation of neuropsychological and MRI findings in chronic/progressive multiple sclerosis , 1988, Neurology.

[32]  R. Jouvent,et al.  Cognitive function in recent-onset demyelinating diseases. , 1986, Archives of neurology.

[33]  J. Fisher,et al.  Neuropsychological Assessment, 2nd Ed , 1985 .

[34]  C. Poser,et al.  Cognitive function in patients with multiple sclerosis. , 1980, Archives of neurology.

[35]  D. Gronwall Paced Auditory Serial-Addition Task: A Measure of Recovery from Concussion , 1977, Perceptual and motor skills.

[36]  F. Ikuta,et al.  Distribution of plaques in seventy autopsy cases of multiple sclerosis in the United States , 1976, Neurology.

[37]  N. Woodhouse,et al.  Regulation of plasma calcium in man: the influence of parathyroid hormone and calcitonin. , 1971, Hormones.

[38]  M. Albert,et al.  Missile wounds of the brain: Freda Newcombe. Oxford University Press, London, 1969. 145 pp. 42s , 1970 .

[39]  F. Newcombe,et al.  Missile wounds of the brain: a study of psychological deficits , 1969 .

[40]  J. Money,et al.  A standardized road-map test of direction sense , 1965 .

[41]  B. Brownell,et al.  The distribution of plaques in the cerebrum in multiple sclerosis , 1962, Journal of neurology, neurosurgery, and psychiatry.