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Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging

CONTEXT: Developing brain imaging is a critical subject for infants born preterm. Impaired brain growth is correlated with poor neurological outcomes, regardless of overt brain lesions, such as hemorrhage or leukomalacia. As magnetic resonance imaging (MRI) remains a research tool for assessing regi...

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Autores principales: Vo Van, Philippe, Beck, Jonathan, Meunier, Hélène, Venot, Perrine, Mac Caby, Gratiella, Bednarek, Nathalie, Loron, Gauthier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531030/
https://www.ncbi.nlm.nih.gov/pubmed/36204665
http://dx.doi.org/10.3389/fped.2022.961556
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author Vo Van, Philippe
Beck, Jonathan
Meunier, Hélène
Venot, Perrine
Mac Caby, Gratiella
Bednarek, Nathalie
Loron, Gauthier
author_facet Vo Van, Philippe
Beck, Jonathan
Meunier, Hélène
Venot, Perrine
Mac Caby, Gratiella
Bednarek, Nathalie
Loron, Gauthier
author_sort Vo Van, Philippe
collection PubMed
description CONTEXT: Developing brain imaging is a critical subject for infants born preterm. Impaired brain growth is correlated with poor neurological outcomes, regardless of overt brain lesions, such as hemorrhage or leukomalacia. As magnetic resonance imaging (MRI) remains a research tool for assessing regional brain volumes, two-dimensional metrics (2D metrics) provide a reliable estimation of brain structures. In neonatal intensive care, cerebral ultrasound (cUS) is routinely performed to assess brain integrity. This prospective work has compared US and MRI accuracy for the measurement of 2D brain metrics and identification of overt injuries. METHODS: MRI and cUS were performed at term equivalent age (TEA) in infants born before 32 weeks of gestation (GW). Demographical data and results of serial cUS (Neonatal Intensive Care Unit [NICU]-US) performed during hospitalization were gathered from medical charts. Blinded, experienced senior doctors reviewed the scans for both standard analysis and standardized, 2D measurements. The correlation of 2D metrics and inter-/intraobserver agreements were evaluated using Pearson’s coefficient, Bland-Altman plots, and intraclass coefficient (ICC), respectively. RESULTS: In total, 102 infants born preterm were included. The performance of “TEA-cUS and NICU-cUS” when compared to “TEA-MRI and NICU-cUS” was identical for the detection of high-grade hemorrhages and close for low-grade ones. However, TEA-MRI only detected nodular lesions of the white matter (WM). No infant presented a cerebellar infarct on imaging. Intra- and inter-observer agreements were excellent for all 2D metrics except for the corpus callosum width (CCW) and anteroposterior vermis diameter. MRI and cUS showed good to excellent correlation for brain and bones biparietal diameters, corpus callosum length (CCL), transcerebellar diameters (TCDs), and lateral ventricle diameters. Measures of CCW and vermis dimensions were poorly correlated. CONCLUSION AND PERSPECTIVE: The cUS is a reliable tool to assess selected 2D measurements in the developing brain. Repetition of these metrics by serial cUS during NICU stay would allow the completion of growth charts for several brain structures. Further studies will assess whether these charts are relevant markers of neurological outcome.
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spelling pubmed-95310302022-10-05 Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging Vo Van, Philippe Beck, Jonathan Meunier, Hélène Venot, Perrine Mac Caby, Gratiella Bednarek, Nathalie Loron, Gauthier Front Pediatr Pediatrics CONTEXT: Developing brain imaging is a critical subject for infants born preterm. Impaired brain growth is correlated with poor neurological outcomes, regardless of overt brain lesions, such as hemorrhage or leukomalacia. As magnetic resonance imaging (MRI) remains a research tool for assessing regional brain volumes, two-dimensional metrics (2D metrics) provide a reliable estimation of brain structures. In neonatal intensive care, cerebral ultrasound (cUS) is routinely performed to assess brain integrity. This prospective work has compared US and MRI accuracy for the measurement of 2D brain metrics and identification of overt injuries. METHODS: MRI and cUS were performed at term equivalent age (TEA) in infants born before 32 weeks of gestation (GW). Demographical data and results of serial cUS (Neonatal Intensive Care Unit [NICU]-US) performed during hospitalization were gathered from medical charts. Blinded, experienced senior doctors reviewed the scans for both standard analysis and standardized, 2D measurements. The correlation of 2D metrics and inter-/intraobserver agreements were evaluated using Pearson’s coefficient, Bland-Altman plots, and intraclass coefficient (ICC), respectively. RESULTS: In total, 102 infants born preterm were included. The performance of “TEA-cUS and NICU-cUS” when compared to “TEA-MRI and NICU-cUS” was identical for the detection of high-grade hemorrhages and close for low-grade ones. However, TEA-MRI only detected nodular lesions of the white matter (WM). No infant presented a cerebellar infarct on imaging. Intra- and inter-observer agreements were excellent for all 2D metrics except for the corpus callosum width (CCW) and anteroposterior vermis diameter. MRI and cUS showed good to excellent correlation for brain and bones biparietal diameters, corpus callosum length (CCL), transcerebellar diameters (TCDs), and lateral ventricle diameters. Measures of CCW and vermis dimensions were poorly correlated. CONCLUSION AND PERSPECTIVE: The cUS is a reliable tool to assess selected 2D measurements in the developing brain. Repetition of these metrics by serial cUS during NICU stay would allow the completion of growth charts for several brain structures. Further studies will assess whether these charts are relevant markers of neurological outcome. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9531030/ /pubmed/36204665 http://dx.doi.org/10.3389/fped.2022.961556 Text en Copyright © 2022 Vo Van, Beck, Meunier, Venot, Mac Caby, Bednarek and Loron. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Vo Van, Philippe
Beck, Jonathan
Meunier, Hélène
Venot, Perrine
Mac Caby, Gratiella
Bednarek, Nathalie
Loron, Gauthier
Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title_full Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title_fullStr Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title_full_unstemmed Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title_short Assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: Correlation of ultrasound scans with magnetic resonance imaging
title_sort assessment of brain two-dimensional metrics in infants born preterm at term equivalent age: correlation of ultrasound scans with magnetic resonance imaging
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531030/
https://www.ncbi.nlm.nih.gov/pubmed/36204665
http://dx.doi.org/10.3389/fped.2022.961556
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