BACKGROUND: Neuroaxonal loss is a pathological substrate of disability in progressive multiple sclerosis (MS) and can be estimated in vivo by measuring tissue atrophy on magnetic resonance imaging (MRI). While there is some evidence that brain atrophy correlates better with disability than T2 lesion load in secondary progressive MS, the clinical relevance of atrophy within specific regions of the central nervous system requires further evaluation. METHODS: Clinical and MRI examinations were performed in 117 subjects with secondary progressive MS. MRI analysis included measures of normalized brain volume (NBV), normalized grey matter (NGMV) and white matter volume (NWMV), central cerebral volume (CCV), spinal cord cross-sectional area (SCCA), and brain T2 and T1 lesion volume. Clinical assessments included the expanded disability status scale (EDSS) and MS functional composite (MSFC). RESULTS: All MRI measures correlated significantly with the MSFC score, with the strongest correlation being for the NBV (r = 0.47; P < 0.001). NBV and SCCA were the only significant independent predictors of the MSFC score in a stepwise regression model containing all the MRI measures, and SCCA was the only MRI measure to show a significant association with the EDSS. While NGMV had stronger correlations with the clinical variables than NWMV, NBV was more correlated with clinical impairment than either measure. CONCLUSIONS: This data suggests that measures of atrophy, particularly of the whole brain and spinal cord, are relevant and useful disease markers in secondary progressive MS.
BACKGROUND:Neuroaxonal loss is a pathological substrate of disability in progressive multiple sclerosis (MS) and can be estimated in vivo by measuring tissue atrophy on magnetic resonance imaging (MRI). While there is some evidence that brain atrophy correlates better with disability than T2 lesion load in secondary progressive MS, the clinical relevance of atrophy within specific regions of the central nervous system requires further evaluation. METHODS: Clinical and MRI examinations were performed in 117 subjects with secondary progressive MS. MRI analysis included measures of normalized brain volume (NBV), normalized grey matter (NGMV) and white matter volume (NWMV), central cerebral volume (CCV), spinal cord cross-sectional area (SCCA), and brain T2 and T1 lesion volume. Clinical assessments included the expanded disability status scale (EDSS) and MS functional composite (MSFC). RESULTS: All MRI measures correlated significantly with the MSFC score, with the strongest correlation being for the NBV (r = 0.47; P < 0.001). NBV and SCCA were the only significant independent predictors of the MSFC score in a stepwise regression model containing all the MRI measures, and SCCA was the only MRI measure to show a significant association with the EDSS. While NGMV had stronger correlations with the clinical variables than NWMV, NBV was more correlated with clinical impairment than either measure. CONCLUSIONS: This data suggests that measures of atrophy, particularly of the whole brain and spinal cord, are relevant and useful disease markers in secondary progressive MS.
Authors: Adam B Cohen; Mohit Neema; Ashish Arora; Elisa Dell'oglio; Ralph H B Benedict; Shahamat Tauhid; Daniel Goldberg-Zimring; Christian Chavarro-Nieto; Antonella Ceccarelli; Joshua P Klein; James M Stankiewicz; Maria K Houtchens; Guy J Buckle; David C Alsop; Charles R G Guttmann; Rohit Bakshi Journal: J Neuroimaging Date: 2011-03-29 Impact factor: 2.486
Authors: Nico Papinutto; Carlo Asteggiano; Antje Bischof; Tristan J Gundel; Eduardo Caverzasi; William A Stern; Stefano Bastianello; Stephen L Hauser; Roland G Henry Journal: J Neuroimaging Date: 2019-09-30 Impact factor: 2.486
Authors: Nico Papinutto; Christian Cordano; Carlo Asteggiano; Eduardo Caverzasi; Maria Luisa Mandelli; Michael Lauricella; Nicole Yabut; Matthew Neylan; Gina Kirkish; Maria Luisa Gorno-Tempini; Roland G Henry Journal: J Neuroimaging Date: 2020-07-08 Impact factor: 2.486
Authors: T Hayton; J Furby; K J Smith; D R Altmann; R Brenner; J Chataway; R A C Hughes; K Hunter; D J Tozer; D H Miller; R Kapoor Journal: J Neurol Date: 2009-03-06 Impact factor: 4.849
Authors: Regina Schlaeger; Nico Papinutto; Valentina Panara; Carolyn Bevan; Iryna V Lobach; Monica Bucci; Eduardo Caverzasi; Jeffrey M Gelfand; Ari J Green; Kesshi M Jordan; William A Stern; H-Christian von Büdingen; Emmanuelle Waubant; Alyssa H Zhu; Douglas S Goodin; Bruce A C Cree; Stephen L Hauser; Roland G Henry Journal: Ann Neurol Date: 2014-08-21 Impact factor: 10.422