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Research ArticleNeuroimaging Physics/Functional Neuroimaging/CT and MRI Technology

Development of Myelin Growth Charts of the White Matter Using T1 Relaxometry

Chang Y. Ho, Scott Persohn, Meghana Sankar and Paul R. Territo
American Journal of Neuroradiology September 2024, 45 (9) 1335-1345; DOI: https://doi.org/10.3174/ajnr.A8306
Chang Y. Ho
aFrom the Department of Radiology and Imaging Sciences (C.Y.H., P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
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Scott Persohn
bDepartment of Medicine (S.P., M.S., P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
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Meghana Sankar
bDepartment of Medicine (S.P., M.S., P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
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Paul R. Territo
aFrom the Department of Radiology and Imaging Sciences (C.Y.H., P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
bDepartment of Medicine (S.P., M.S., P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
cStark Neuroscience Research Institute (P.R.T.), Indiana University School of Medicine, Indianapolis, Indiana
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Abstract

BACKGROUND AND PURPOSE: Myelin maturation occurs in late fetal life to early adulthood, with the most rapid changes observed in the first few years of infancy. To quantify the degree of myelination, a specific MR imaging sequence is required to measure the changes in tissue proton relaxivity (R1). R1 positively correlates with the degree of myelination maturation at a given age. Similar to head circumference charts, these data can be used to develop normal growth charts for specific white matter tracts to detect pathologies involving abnormal myelination.

MATERIALS AND METHODS: This is a cross-sectional study using normal clinical pediatric brain MR images with the MP2RAGE sequence to generate T1 maps. The T1 maps were segmented to 75 brain regions from a brain atlas (white matter and gyri). Statistical modeling for all subjects across regions and the age range was computed, and estimates of population-level percentile ranking were computed to describe the effective myelination rate as a function of age. Test-retest analysis was performed to assess reproducibility. Logistic trendline and regression were performed for selected white matter regions and plotted for growth charts.

RESULTS: After exclusion for abnormal MR imaging or diseases affecting myelination from the electronic medical record, 103 subject MR images were included, ranging from birth to 17 years of age. Test-retest analysis resulted in a high correlation for white matter (r = 0.88) and gyri (r = 0.95). All white matter regions from the atlas had significant P values for logistic regression with R2 values ranging from 0.41 to 0.99.

CONCLUSIONS: These data can serve as a myelination growth chart to permit patient comparisons with normal levels with respect to age and brain regions, thus improving detection of developmental disorders affecting myelin.

ABBREVIATION:

R1
tissue proton relaxivity
  • © 2024 by American Journal of Neuroradiology
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Cite this article
Chang Y. Ho, Scott Persohn, Meghana Sankar, Paul R. Territo
Development of Myelin Growth Charts of the White Matter Using T1 Relaxometry
American Journal of Neuroradiology Sep 2024, 45 (9) 1335-1345; DOI: 10.3174/ajnr.A8306

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Myelin Growth Charts Using T1 Relaxometry
Chang Y. Ho, Scott Persohn, Meghana Sankar, Paul R. Territo
American Journal of Neuroradiology Sep 2024, 45 (9) 1335-1345; DOI: 10.3174/ajnr.A8306
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