Back to Search Start Over

Synthetic MRI demonstrates prolonged regional relaxation times in the brain of preterm born neonates with severe postnatal morbidity

Authors :
Tim Vanderhasselt
Roya Zolfaghari
Maarten Naeyaert
Jeroen Dudink
Nico Buls
Gert-Jan Allemeersch
Hubert Raeymakers
Filip Cools
Johan de Mey
Source :
NeuroImage: Clinical, Vol 29, Iss , Pp 102544- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Background: To identify preterm infants at risk for neurodevelopment impairment that might benefit from early neurorehabilitation, early prognostic biomarkers of future outcomes are needed. Objective: To determine whether synthetic MRI is sensitive to age-related changes in regional tissue relaxation times in the brain of preterm born neonates when scanned at term equivalent age (TEA, 37–42 weeks), and to investigate whether severe postnatal morbidity results in prolonged regional tissue relaxation times. Materials and methods: This retrospective study included 70 very preterm born infants scanned with conventional and synthetic MRI between January 2017 and June 2019 at TEA. Infants with severe postnatal morbidity were allocated to a high-risk group (n = 22). All other neonates were allocated to a low-risk group (n = 48). Linear regression analysis was performed to determine the relationship between relaxation times and postmenstrual age (PMA) at scan. Analysis of covariance was used to evaluate the impact of severe postnatal morbidity in the high-risk group on T1 and T2 relaxation times. Receiver operating characteristic (ROC) curves were plotted and analysed with area under the ROC curve (AUC) to evaluate the accuracy of classifying high-risk patients based on regional relaxation times. Results: A linear age-related decrease of T1 and T2 relaxation times correlating with PMA at scan (between 37 and 42 weeks) was found in the deep gray matter, the cerebellum, the cortex, and the posterior limb of the internal capsule (PLIC) (p

Details

Language :
English
ISSN :
22131582
Volume :
29
Issue :
102544-
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.4d1265ab66c44d11bd2614424570943d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2020.102544