Article (Scientific journals)
Multiparameter MRI quantification of microstructural tissue alterations in multiple sclerosis
LOMMERS, Emilie; Simon, Jessica; REUTER, Gilles et al.
2019In NeuroImage: Clinical, 23
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Keywords :
multiple sclerosis; quantitative MRI; relaxometry; histological MRI
Abstract :
[en] Objectives: Conventional MRI is not sensitive to many pathological processes underpinning multiple sclerosis (MS) ongoing in normal appearing brain tissue (NABT). Quantitative MRI (qMRI) and a multiparameter mapping (MPM) protocol were used to simultaneously quantify magnetization transfer (MT) saturation, transverse relaxation rate R2* (1/T2*) and longitudinal relaxation rate R1 (1/T1), and assess differences in NABT microstructure between MS patients and healthy controls (HC). Methods: This prospective cross-sectional study involves 36 MS patients (20 females, 16 males; age range 22-63 years; 15 relapsing-remitting MS - RRMS; 21 primary or secondary progressive MS - PMS) and 36 age-matched HC (20 females, 16 males); age range 21-61 years). The qMRI maps are computed and segmented in lesions and 3 normal appearing cerebral tissue classes: normal appearing cortical grey matter (NACGM), normal appearing deep grey matter (NADGM), normal appearing white matter (NAWM). Individual median values are extracted for each tissue class and MR parameter. MANOVAs and stepwise regressions assess differences between patients and HC. Results: MS patients are characterized by a decrease in MT, R2* and R1 within NACGM (p < 0.0001) and NAWM (p < 0.0001). In NADGM, MT decreases (p < 0.0001) but R2* and R1 remain normal. These observations tend to be more pronounced in PMS. Quantitative MRI parameters are independent predictors of clinical status: EDSS is significantly related to R1 in NACGM and R2* in NADGM; the latter also predicts motor score. Cognitive score is best predicted by MT parameter within lesions. Conclusions: Multiparametric data on brain microstructure concord with the literature, predict clinical performance and suggest a diffuse reduction in myelin and/or iron content within NABT of MS patients.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Neurology
Human health sciences: Multidisciplinary, general & others
Author, co-author :
LOMMERS, Emilie  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
Simon, Jessica  ;  Université de Liège - ULiège > Département de Psychologie > Psychologie quantitative
REUTER, Gilles  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de chirurgie > Service de neurochirurgie
DELRUE, Gaël ;  Centre Hospitalier Universitaire de Liège - CHU > Autres Services Médicaux > Médecine de l'appareil locomoteur (RNCL)
DIVE, Dominique ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Unité de revalidation neurologique (Esneux)
Degueldre, Christian ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Balteau, Evelyne ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Phillips, Christophe  ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
MAQUET, Pierre  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de neurologie
Language :
English
Title :
Multiparameter MRI quantification of microstructural tissue alterations in multiple sclerosis
Publication date :
June 2019
Journal title :
NeuroImage: Clinical
eISSN :
2213-1582
Publisher :
Elsevier, Netherlands
Volume :
23
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 07 July 2019

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