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Magnetic Resonance Imaging-Based Reference Values for Two-Dimensional Quantitative Brain Metrics in a Cohort of Extremely Preterm Infants.

Authors :
Buchmayer, Julia
Kasprian, Gregor
Jernej, Raphaela
Stummer, Sophie
Schmidbauer, Victor
Giordano, Vito
Klebermass-Schrehof, Katrin
Berger, Angelika
Goeral, Katharina
Source :
Neonatology (16617800); 2024, Vol. 121 Issue 1, p97-105, 9p
Publication Year :
2024

Abstract

Introduction: Cerebral magnetic resonance imaging (cMRI) is an important diagnostic tool in neonatology. In addition to qualitative analysis, quantitative measurements may help identify infants with impaired brain growth. This study aimed to create reference values for brain metrics of various brain areas in neonates without major brain injuries born before 28 weeks of gestation. Methods: This retrospective study analyzes cMRI imaging data of high-risk patients without severe brain pathologies at term-equivalent age, collected over 4 years since November 2017. Nineteen brain areas were measured, reference values created, and compared to published values from fetal and postnatal MRI. Furthermore, correlations between brain metrics and gestational age at birth were evaluated. Results: A total of 174 cMRI examinations were available for analysis. Reference values including cut-offs for impaired brain growth were established for different gestational age groups. There was a significant correlation between gestational age at birth and larger "tissue" parameters, as well as smaller "fluid" parameters, including intracerebral and extracerebral spaces. Discussion: With quantitative brain metrics infants with impaired brain growth might be detected earlier. Compared to preexisting reference values, these are the first of a contemporary collective of extremely preterm neonates without severe brain injuries. Measurements can be easily performed by radiologists as well as neonatologists without specialized equipment or computational expertise. Conclusion: Two-dimensional cMRI brain measurements at term-equivalent age represent an easy and reliable approach for the evaluation of brain size and growth in infants at high risk for neurodevelopmental impairment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16617800
Volume :
121
Issue :
1
Database :
Complementary Index
Journal :
Neonatology (16617800)
Publication Type :
Academic Journal
Accession number :
175341785
Full Text :
https://doi.org/10.1159/000534009