2019
DOI: 10.1016/j.nicl.2018.11.017
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Personalized pathology maps to quantify diffuse and focal brain damage

Abstract: Background and objectivesQuantitative 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.MethodsWe performed baseline and two-years follow-up on (i) 13 relapsing-remitting MS patients and (ii) four health… Show more

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Cited by 16 publications
(44 citation statements)
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“…However, the average within-subject CoV was lower than the between-subject CoV, indicating that partial volume effects and registration quality affected the between-subject figure. These issues are not unique to ihMTR but affect all quantitative MRI measures 66 , 67 .…”
Section: Discussionmentioning
confidence: 99%
“…However, the average within-subject CoV was lower than the between-subject CoV, indicating that partial volume effects and registration quality affected the between-subject figure. These issues are not unique to ihMTR but affect all quantitative MRI measures 66 , 67 .…”
Section: Discussionmentioning
confidence: 99%
“…Development of a normative myelin imaging atlas, to which individual patients can be compared, can address these challenges. Atlas‐based approaches for magnetic resonance (MR) methods influenced by myelin have been implemented for a number of different quantitative imaging techniques, including diffusion, T 1 , T 2 , MT, and mcDESPOT‐derived myelin water assessment …”
Section: Introductionmentioning
confidence: 99%
“…Previously established norms for brain relaxation times pooled values from different brain regions, missing the spatial specificity of a voxel‐by‐voxel atlases as established here, or were not further explored for single‐subject comparisons . Moreover, in previously reported single‐subject comparison studies based on relaxometry data, reference values were derived by averaging the respective tissue property across the entire HC, as well as in other imaging studies based on diffusion or myelin water imaging data. Conversely, our proposed method allows including confounding factors in the normative atlases such as sex and age of the subjects.…”
Section: Discussionmentioning
confidence: 99%
“…Although quantitative maps are better comparable across scanners and sites, they only have limited direct clinical value. To fully exploit the information provided by T 1 and T 2 maps, normative values for relaxometry in healthy tissue are required, enabling the comparison of tissue properties from a single patient to normal values . Furthermore, the quantification of changes in T 1 and T 2 with respect to norm values promotes the definition of imaging biomarkers for characterization of pathologies, potentially improving diagnosis and follow‐up assessments by correlating T 1 and T 2 variations with the undergoing microstructural changes.…”
Section: Introductionmentioning
confidence: 99%