Measuring in vivo cerebral maturation using age-related T2 relaxation times at 3T

Eva Bültmann1, Loukia M Spineli2, Hans Hartmann3

  • 1Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.

Brain & Development
|August 13, 2017
PubMed

Insights

T2 relaxation times in the brain decrease with age during childhood. These age-related changes in T2 values, measured using routine MRI, are consistent in both healthy and diseased children, suggesting potential as a biomarker.

Area of Science:

  • Neuroimaging
  • Pediatric Radiology
  • Biomarker Development

Background:

  • T2 relaxation times are a key MRI parameter reflecting tissue properties.
  • Understanding age-related changes in brain T2 values is crucial for interpreting pediatric MRI scans.
  • Routine MRI data offers a potential source for assessing these developmental changes.

Purpose of the Study:

  • To investigate age-related changes in T2 relaxation times in the brain during infancy and childhood.
  • To evaluate the utility of T2 values from routine MRI as a potential biomarker.
  • To compare T2 relaxation time changes between healthy children and those with various clinical abnormalities.

Main Methods:

  • Retrospective analysis of 99 pediatric MRI examinations (3T) with normal conventional scans.
  • Creation of T2 maps from triple echo turbo spin echo sequences.
  • Measurement of T2 values in 22 brain regions for age-related analysis in healthy and diseased children.

Main Results:

  • Age significantly reduced T2 relaxation times across all brain regions (p<0.05).
  • T2 values showed a continuous decline with age, faster in the first 10 months and slower thereafter.
  • No significant difference in age-related T2 changes was observed between healthy and diseased children.

Conclusions:

  • Age-related T2 relaxation time changes in 22 brain regions can be determined from routine clinical pediatric MRI.
  • T2 maps derived from clinical MRI data are valuable for assessing normal developmental trajectories.
  • These findings support the use of T2 values as a potential biomarker for distinguishing normal from pathologic ranges.
Abstract