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Childs Nerv Syst. 2017 May;33(5):735-745. doi: 10.1007/s00381-017-3391-4. Epub 2017 Mar 31.

Changes in brain microstructure during infancy and childhood using clinical feasible ADC-maps.

Author information

1
Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany. bueltmann.eva@mh-hannover.de.
2
Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
3
Department of Medical Statistics, University Medical Center, Göttingen, Germany.
4
Clinic for Pediatric Kidney, Liver, and Metabolic Diseases, Hannover Medical School, Hannover, Germany.
5
Department of Diagnostic and Interventional Neuroradiology, Radiological University Hospital, University of Tübingen, Tübingen, Germany.

Abstract

PURPOSE:

The purpose of this study was to examine age-related changes in apparent diffusion coefficient (ADC) during infancy and childhood using routine MRI data.

METHODS:

A total of 112 investigations of patients aged 0 to 17.2 years showing a normal degree of myelination and no signal abnormalities on conventional MRI were retrospectively selected from our pool of pediatric MRI examinations at 1.5T. ADC maps based on our routinely included axial diffusion weighted sequence were created from the scanner. ADC values were measured in 35 different brain regions investigating normal age-related changes during the maturation of the human brain in infancy and childhood using clinical feasible sequences at 1.5T.

RESULTS:

The relationship between ADC values and age in infancy and childhood can be described as an exponential function. With increasing age, the ADC values decrease significantly in all brain regions, especially during the first 2 years of life. Except in the peritrigonal white matter, no significant differences were found between both hemispheres. Between 0 and 2 years of life, no significant gender differences were detected.

CONCLUSIONS:

Using ADC maps based on a routinely performed axial diffusion weighted sequence, it was possible first to describe the relationship between ADC values and age in infancy and childhood as exponential function in the whole brain and second to determine normative age-related ADC values in multiple brain regions.

KEYWORDS:

Brain maturation; Diffusion; Magnetic resonance imaging; Quantitative imaging

PMID:
28364169
DOI:
10.1007/s00381-017-3391-4
[Indexed for MEDLINE]

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