Spatiotemporal distribution of white matter lesions in relapsing–remitting and secondary progressive multiple sclerosis

Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. MS lesions show a typical distribution pattern and primarily affect the white matter (WM) in the periventricular zone and in the centrum semiovale. Objective: To track lesion development during disea...

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Veröffentlicht in:Multiple sclerosis 2012-11, Vol.18 (11), p.1577-1584
Hauptverfasser: Filli, Lukas, Hofstetter, Louis, Kuster, Pascal, Traud, Stefan, Mueller-Lenke, Nicole, Naegelin, Yvonne, Kappos, Ludwig, Gass, Achim, Sprenger, Till, Nichols, Thomas E, Vrenken, Hugo, Barkhof, Frederik, Polman, Chris, Radue, Ernst-Wilhelm, Borgwardt, Stefan J, Bendfeldt, Kerstin
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container_end_page 1584
container_issue 11
container_start_page 1577
container_title Multiple sclerosis
container_volume 18
creator Filli, Lukas
Hofstetter, Louis
Kuster, Pascal
Traud, Stefan
Mueller-Lenke, Nicole
Naegelin, Yvonne
Kappos, Ludwig
Gass, Achim
Sprenger, Till
Nichols, Thomas E
Vrenken, Hugo
Barkhof, Frederik
Polman, Chris
Radue, Ernst-Wilhelm
Borgwardt, Stefan J
Bendfeldt, Kerstin
description Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. MS lesions show a typical distribution pattern and primarily affect the white matter (WM) in the periventricular zone and in the centrum semiovale. Objective: To track lesion development during disease progression, we compared the spatiotemporal distribution patterns of lesions in relapsing–remitting MS (RRMS) and secondary progressive MS (SPMS). Methods: We used T1 and T2 weighted MR images of 209 RRMS and 62 SPMS patients acquired on two different 1.5 Tesla MR scanners in two clinical centers followed up for 25 (± 1.7) months. Both cross-sectional and longitudinal differences in lesion distribution between RRMS and SPMS patients were analyzed with lesion probability maps (LPMs) and permutation-based inference. Results: MS lesions clustered around the lateral ventricles and in the centrum semiovale. Cross-sectionally, compared to RRMS patients, the SPMS patients showed a significantly higher regional probability of T1 hypointense lesions (p≤0.03) in the callosal body, the corticospinal tract, and other tracts adjacent to the lateral ventricles, but not of T2 lesions (peak probabilities were RRMS: T1 9%, T2 18%; SPMS: T1 21%, T2 27%). No longitudinal changes of regional T1 and T2 lesion volumes between baseline and follow-up scan were found. Conclusion: The results suggest a particular vulnerability to neurodegeneration during disease progression in a number of WM tracts.
doi_str_mv 10.1177/1352458512442756
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MS lesions show a typical distribution pattern and primarily affect the white matter (WM) in the periventricular zone and in the centrum semiovale. Objective: To track lesion development during disease progression, we compared the spatiotemporal distribution patterns of lesions in relapsing–remitting MS (RRMS) and secondary progressive MS (SPMS). Methods: We used T1 and T2 weighted MR images of 209 RRMS and 62 SPMS patients acquired on two different 1.5 Tesla MR scanners in two clinical centers followed up for 25 (± 1.7) months. Both cross-sectional and longitudinal differences in lesion distribution between RRMS and SPMS patients were analyzed with lesion probability maps (LPMs) and permutation-based inference. Results: MS lesions clustered around the lateral ventricles and in the centrum semiovale. Cross-sectionally, compared to RRMS patients, the SPMS patients showed a significantly higher regional probability of T1 hypointense lesions (p≤0.03) in the callosal body, the corticospinal tract, and other tracts adjacent to the lateral ventricles, but not of T2 lesions (peak probabilities were RRMS: T1 9%, T2 18%; SPMS: T1 21%, T2 27%). No longitudinal changes of regional T1 and T2 lesion volumes between baseline and follow-up scan were found. 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MS lesions show a typical distribution pattern and primarily affect the white matter (WM) in the periventricular zone and in the centrum semiovale. Objective: To track lesion development during disease progression, we compared the spatiotemporal distribution patterns of lesions in relapsing–remitting MS (RRMS) and secondary progressive MS (SPMS). Methods: We used T1 and T2 weighted MR images of 209 RRMS and 62 SPMS patients acquired on two different 1.5 Tesla MR scanners in two clinical centers followed up for 25 (± 1.7) months. Both cross-sectional and longitudinal differences in lesion distribution between RRMS and SPMS patients were analyzed with lesion probability maps (LPMs) and permutation-based inference. Results: MS lesions clustered around the lateral ventricles and in the centrum semiovale. Cross-sectionally, compared to RRMS patients, the SPMS patients showed a significantly higher regional probability of T1 hypointense lesions (p≤0.03) in the callosal body, the corticospinal tract, and other tracts adjacent to the lateral ventricles, but not of T2 lesions (peak probabilities were RRMS: T1 9%, T2 18%; SPMS: T1 21%, T2 27%). No longitudinal changes of regional T1 and T2 lesion volumes between baseline and follow-up scan were found. Conclusion: The results suggest a particular vulnerability to neurodegeneration during disease progression in a number of WM tracts.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>22495945</pmid><doi>10.1177/1352458512442756</doi><tpages>8</tpages></addata></record>
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subjects Adult
Analysis of Variance
Biological and medical sciences
Brain - pathology
Chi-Square Distribution
Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases
Disability Evaluation
Disease Progression
Europe
Female
Humans
Leukoencephalopathies - pathology
Magnetic Resonance Imaging
Male
Medical sciences
Middle Aged
Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis
Multiple Sclerosis, Chronic Progressive - pathology
Multiple Sclerosis, Relapsing-Remitting - pathology
Neurology
Predictive Value of Tests
Time Factors
title Spatiotemporal distribution of white matter lesions in relapsing–remitting and secondary progressive multiple sclerosis
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