Multiparametric Analysis of Cerebral Development in Preterm Infants Using Magnetic Resonance Imaging.

arterial spin labeling cerebral perfusion diffusion magnetic resonance imaging morphometry prematurity radiology

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2021
Historique:
received: 24 01 2021
accepted: 17 03 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

The severity of neurocognitive impairment increases with prematurity. However, its mechanisms remain poorly understood. Our aim was firstly to identify multiparametric magnetic resonance imaging (MRI) markers that differ according to the degree of prematurity, and secondly to evaluate the impact of clinical complications on these markers. We prospectively enrolled preterm infants who were divided into two groups according to their degree of prematurity: extremely preterm (<28 weeks' gestational age) and very preterm (28-32 weeks' gestational age). They underwent a multiparametric brain MRI scan at term-equivalent age including morphological, diffusion tensor and arterial spin labeling (ASL) perfusion sequences. We quantified overall and regional volumes, diffusion parameters, and cerebral blood flow (CBF). We then compared the parameters for the two groups. We also assessed the effects of clinical data and potential MRI morphological abnormalities on those parameters. Thirty-four preterm infants were included. Extremely preterm infants ( Magnetic resonance imaging brain scans performed at term-equivalent age in preterm infants provide quantitative imaging parameters that differ with respect to the degree of prematurity, related to brain maturation.

Identifiants

pubmed: 33927592
doi: 10.3389/fnins.2021.658002
pmc: PMC8076519
doi:

Types de publication

Journal Article

Langues

eng

Pagination

658002

Informations de copyright

Copyright © 2021 Dubois, Legouhy, Corouge, Commowick, Morel, Pladys, Ferré, Barillot and Proisy.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Marine Dubois (M)

Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Antoine Legouhy (A)

Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Isabelle Corouge (I)

Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Olivier Commowick (O)

Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Baptiste Morel (B)

Radiology Department, CHU Tours, Hôpital Gatien de Clocheville, Tours, France.

Patrick Pladys (P)

Pediatric Department, CHU Rennes, Hôpital Sud, Rennes, France.

Jean-Christophe Ferré (JC)

Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Christian Barillot (C)

Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Maïa Proisy (M)

Radiology Department, CHU Rennes, Hôpital Sud, Rennes, France.
Inria, CNRS, INSERM, IRISA, Empenn ERL U-1228, Université de Rennes 1, Rennes, France.

Classifications MeSH