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Magnetic resonance fingerprinting in multiple sclerosis.
Ontaneda, Daniel; Gulani, Vikas; Deshmane, Anagha; Shah, Amisha; Guruprakash, Deepti K; Jiang, Yun; Ma, Dan; Fisher, Elizabeth; Rudick, Richard A; Raza, Praneeta; Kilbane, Meghan; Cohen, Jeffrey A; Sakaie, Ken; Lowe, Mark J; Griswold, Mark A; Nakamura, Kunio.
Affiliation
  • Ontaneda D; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, United States. Electronic address: ontaned@ccf.org.
  • Gulani V; Department of Radiology, University of Michigan, Michigan, United States.
  • Deshmane A; Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
  • Shah A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States.
  • Guruprakash DK; Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, United States.
  • Jiang Y; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States; Department of Radiology, University of Michigan, Ann Arbor, United States.
  • Ma D; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States.
  • Fisher E; Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, United States.
  • Rudick RA; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, United States.
  • Raza P; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, United States.
  • Kilbane M; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, United States.
  • Cohen JA; Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, United States.
  • Sakaie K; Imaging Institute, Cleveland Clinic, Cleveland, United States.
  • Lowe MJ; Imaging Institute, Cleveland Clinic, Cleveland, United States.
  • Griswold MA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States.
  • Nakamura K; Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, United States.
Mult Scler Relat Disord ; 79: 105024, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37783196
ABSTRACT

BACKGROUND:

In this cross sectional study, we used MRF to investigate tissue properties of normal-appearing white matter, gray matter, and lesions in relapsing remitting MS (n = 21), secondary progressive MS (n = 16) and healthy controls (n = 9). A FISP-based MRF sequence was used for acquisition, imaging time 5 min 15 s. MRF T1 and T2 relaxation times were measured from lesional tissue, normal-appearing frontal white matter, corpus callous, thalamus, and caudate. Differences between healthy controls and MS were examined using ANCOVA adjusted for age and sex. Spearman rank correlations were assessed between T1 and T2 relaxation times and clinical measures.

OBJECTIVES:

To examine brain T1 and T2 values using magnetic resonance fingerprinting (MRF) in healthy controls and MS.

METHODS:

The subjects included 21 relapsing-remitting (RR) MS, 16 secondary progressive (SP) MS, and 9 age- and sex-matched HC without manifest neurological disease participating in a longitudinal MRI study. A 3T/ FISP-based MRF sequence was acquired. Regions of interest were drawn for lesions and normal appearing white matter. ANCOVA adjusted for age and sex were used to compare the groups with significance set at 0.05.

RESULTS:

A step-wise increase in T1 and T2 relaxation times was found between healthy controls, relapsing remitting MS, and secondary progressive MS. Significant differences were found in T1 and T2 between MS and healthy controls in the frontal normal-appearing white matter, corpus callosum, and thalamus (p < 0.04 for all). Significant differences in T1 and T2 between RR and SPMS were found in the frontal normal-appearing white matter and T2 lesions (p < 0.02 for all). T1 relaxation from the frontal normal-appearing white matter correlated with the Expanded Disability Status Scale [ρ = 0.62, p < 0.001], timed 25 foot walk (ρ = 0.45, p = 0.01), 9 hole peg test (ρ = 0.62, p < 0.001), and paced auditory serial addition test (ρ = -0.4, p = 0.01).

CONCLUSION:

These results suggest that MRF may be a clinically feasible quantitative approach for characterizing tissue damage in MS.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis, Relapsing-Remitting / Multiple Sclerosis Type of study: Observational_studies Limits: Humans Language: En Journal: Mult Scler Relat Disord Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis, Relapsing-Remitting / Multiple Sclerosis Type of study: Observational_studies Limits: Humans Language: En Journal: Mult Scler Relat Disord Year: 2023 Document type: Article
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