TY - JOUR
T1 - Deep gray matter volume loss drives disability worsening in multiple sclerosis
AU - Eshaghi, Arman
AU - Prados, Ferran
AU - Brownlee, Wallace J
AU - Altmann, Daniel R
AU - Tur, Carmen
AU - Cardoso, M Jorge
AU - De Angelis, Floriana
AU - van de Pavert, Steven H
AU - Cawley, Niamh
AU - De Stefano, Nicola
AU - Stromillo, M Laura
AU - Battaglini, Marco
AU - Ruggieri, Serena
AU - Gasperini, Claudio
AU - Filippi, Massimo
AU - Rocca, Maria A
AU - Rovira, Alex
AU - Sastre-Garriga, Jaume
AU - Vrenken, Hugo
AU - Leurs, Cyra E
AU - Killestein, Joep
AU - Pirpamer, Lukas
AU - Enzinger, Christian
AU - Ourselin, Sebastien
AU - Wheeler-Kingshott, Claudia A M Gandini
AU - Chard, Declan
AU - Thompson, Alan J
AU - Alexander, Daniel C
AU - Barkhof, Frederik
AU - Ciccarelli, Olga
AU - MAGNIMS Study Group
A2 - Frederiksen, Jette Lautrup Battistini
N1 - © 2018 The Authors Annals of Neurology published by Wiley Periodicals, Inc. on behalf of American Neurological Association.
PY - 2018
Y1 - 2018
N2 - OBJECTIVE: Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.METHODS: We analyzed 3,604 brain high-resolution T1-weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing-remitting [RRMS], 128 secondary-progressive [SPMS], and 125 primary-progressive [PPMS]), over an average follow-up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow-up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time-to-EDSS progression.RESULTS: SPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time-to-EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow-up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (-1.45%), PPMS (-1.66%), and RRMS (-1.34%) than CIS (-0.88%) and HCs (-0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (-1.21%) was significantly faster than RRMS (-0.76%), CIS (-0.75%), and HCs (-0.51%). Similarly, the rate of parietal GM atrophy in SPMS (-1.24-%) was faster than CIS (-0.63%) and HCs (-0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001).INTERPRETATION: This large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210-222.
AB - OBJECTIVE: Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.METHODS: We analyzed 3,604 brain high-resolution T1-weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing-remitting [RRMS], 128 secondary-progressive [SPMS], and 125 primary-progressive [PPMS]), over an average follow-up of 2.41 years (standard deviation [SD] = 1.97), and 203 healthy controls (HCs; average follow-up = 1.83 year; SD = 1.77), attending seven European centers. Disability was assessed with the Expanded Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem, and cerebral white matter. Hierarchical mixed models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time-to-EDSS progression.RESULTS: SPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time-to-EDSS progression (hazard ratio = 0.73; 95% confidence interval, 0.65, 0.82; p < 0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow-up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (-1.45%), PPMS (-1.66%), and RRMS (-1.34%) than CIS (-0.88%) and HCs (-0.94%; p < 0.01). The rate of temporal GM atrophy in SPMS (-1.21%) was significantly faster than RRMS (-0.76%), CIS (-0.75%), and HCs (-0.51%). Similarly, the rate of parietal GM atrophy in SPMS (-1.24-%) was faster than CIS (-0.63%) and HCs (-0.23%; all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta = 0.04; p < 0.001).INTERPRETATION: This large, multicenter and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions. Ann Neurol 2018;83:210-222.
KW - Adult
KW - Atrophy/pathology
KW - Brain/diagnostic imaging
KW - Disability Evaluation
KW - Disease Progression
KW - Female
KW - Gray Matter/diagnostic imaging
KW - Humans
KW - Image Interpretation, Computer-Assisted
KW - Longitudinal Studies
KW - Magnetic Resonance Imaging/methods
KW - Male
KW - Middle Aged
KW - Multiple Sclerosis/diagnostic imaging
KW - Neuroimaging/methods
KW - Retrospective Studies
U2 - 10.1002/ana.25145
DO - 10.1002/ana.25145
M3 - Journal article
C2 - 29331092
SN - 0364-5134
VL - 83
SP - 210
EP - 222
JO - Annals of Neurology
JF - Annals of Neurology
IS - 2
ER -