Personalized pathology maps to quantify diffuse and focal brain damage.

Details

Ressource 1Download: 30502080_BIB_E5AB43A1383E.pdf (3808.11 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_E5AB43A1383E
Type
Article: article from journal or magazin.
Collection
Publications
Title
Personalized pathology maps to quantify diffuse and focal brain damage.
Journal
NeuroImage. Clinical
Author(s)
Bonnier G., Fischi-Gomez E., Roche A., Hilbert T., Kober T., Krueger G., Granziera C.
ISSN
2213-1582 (Electronic)
ISSN-L
2213-1582
Publication state
Published
Issued date
2019
Peer-reviewed
Oui
Volume
21
Pages
101607
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Quantitative MRI (qMRI) permits the quantification of brain changes compatible with inflammation, degeneration and repair in multiple sclerosis (MS) patients. In this study, we propose a new method to provide personalized maps of tissue alterations and longitudinal brain changes based on different qMRI metrics, which provide complementary information about brain pathology.
We performed baseline and two-years follow-up on (i) 13 relapsing-remitting MS patients and (ii) four healthy controls. A group consisting of up to 65 healthy controls was used to compute the reference distribution of qMRI metrics in healthy tissue. All subjects underwent 3T MRI examinations including T1, T2, T2* relaxation and Magnetization Transfer Ratio (MTR) imaging. We used a recent partial volume estimation algorithm to estimate the concentration of different brain tissue types on T1 maps; then, we computed a deviation map (z-score map) for each contrast at both time-points. Finally, we subtracted those deviation maps only for voxels showing a significant difference with healthy tissue in one of the time points, to obtain a difference map for each subject.
Control subjects did not show any significant z-score deviations or longitudinal z-score changes. On the other hand, MS patients showed brain regions with cross-sectional and longitudinal concomitant increase in T1, T2, T2* z-scores and decrease of MTR z-scores, suggesting brain tissue degeneration/loss. In the lesion periphery, we observed areas with cross-sectional and longitudinal decreased T1/T2 and slight decrease in T2* most likely related to iron accumulation. Moreover, we measured longitudinal decrease in T1, T2 - and to a lesser extent in T2* - as well as a concomitant increase in MTR, suggesting remyelination/repair. In summary, we have developed a method that provides whole-brain personalized maps of cross-sectional and longitudinal changes in MS patients, which are computed in patient space. These maps may open new perspectives to complement and support radiological evaluation of brain damage for a given patient.
Keywords
Deviation maps, MRI pathology, Multi-parametric MRI, Multiple sclerosis, Personalized MRI, Quantitative MRI
Pubmed
Web of science
Open Access
Yes
Create date
05/01/2019 18:16
Last modification date
20/08/2019 17:09
Usage data