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Cortical development in fetuses with congenital heart defects using an automated brain-age prediction algorithm.

Everwijn, SMP; Namburete, AIL; van Geloven, N; Jansen, FAR; Papageorghiou, AT; Noble, AJ; Teunissen, AKK; Rozendaal, L; Blom, NA; van Lith, JMM; et al. Everwijn, SMP; Namburete, AIL; van Geloven, N; Jansen, FAR; Papageorghiou, AT; Noble, AJ; Teunissen, AKK; Rozendaal, L; Blom, NA; van Lith, JMM; Haak, MC (2019) Cortical development in fetuses with congenital heart defects using an automated brain-age prediction algorithm. Acta Obstet Gynecol Scand, 98 (12). pp. 1595-1602. ISSN 1600-0412 https://doi.org/10.1111/aogs.13687
SGUL Authors: Papageorghiou, Aris

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Abstract

INTRODUCTION: Congenital heart defects are associated with neurodevelopmental delay. It is hypothesized that fetuses affected by congenital heart defect have altered cerebral oxygen perfusion and are therefore prone to delay in cortical maturation. The aim of this study was to determine the difference in fetal brain age between consecutive congenital heart defect cases and controls in the second and third trimester using ultrasound. MATERIAL AND METHODS: Since 2014, we have included 90 isolated severe congenital heart defect cases in the Heart And Neurodevelopment (HAND)-study. Every 4 weeks, detailed neurosonography was performed in these fetuses, including the recording of a 3D volume of the fetal brain, from 20 weeks onwards. In all, 75 healthy fetuses underwent the same protocol to serve as a control group. The volumes were analyzed by automated age prediction software which determines gestational age by the assessment of cortical maturation. RESULTS: In total, 477 volumes were analyzed using the age prediction software (199 volumes of 90 congenital heart defect cases; 278 volumes of 75 controls). Of these, 16 (3.2%) volume recordings were excluded because of imaging quality. The age distribution was 19-33 weeks. Mixed model analysis showed that the age predicted by brain maturation was 3 days delayed compared with the control group (P = .002). CONCLUSIONS: This study shows that fetuses with isolated cases of congenital heart defects show some delay in cortical maturation as compared with healthy control cases. The clinical relevance of this small difference is debatable. This finding was consistent throughout pregnancy and did not progress during the third trimester.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Everwijn, SMP, Namburete, AIL, van Geloven, N, et al. Cortical development in fetuses with congenital heart defects using an automated brain‐age prediction algorithm. Acta Obstet Gynecol Scand. 2019; 98: 1595‐ 1602, which has been published in final form at https://doi.org/10.1111/aogs.13687. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Keywords: congenital heart defects, fetus, malformations of cortical development, neurodevelopmental outcome, ultrasonography, Adult, Algorithms, Brain, Case-Control Studies, Female, Heart Defects, Congenital, Humans, Imaging, Three-Dimensional, Pregnancy, Pregnancy Trimester, Second, Pregnancy Trimester, Third, Prospective Studies, Ultrasonography, Prenatal, Brain, Humans, Heart Defects, Congenital, Imaging, Three-Dimensional, Ultrasonography, Prenatal, Case-Control Studies, Prospective Studies, Pregnancy, Pregnancy Trimester, Second, Pregnancy Trimester, Third, Algorithms, Adult, Female, congenital heart defects, fetus, malformations of cortical development, neurodevelopmental outcome, ultrasonography, congenital heart defects, fetus, malformations of cortical development, neurodevelopmental outcome, ultrasonography, 1114 Paediatrics and Reproductive Medicine, 1117 Public Health and Health Services, Obstetrics & Reproductive Medicine
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Acta Obstet Gynecol Scand
ISSN: 1600-0412
Language: eng
Dates:
DateEvent
19 November 2019Published
24 August 2019Published Online
3 July 2019Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
UNSPECIFIEDNIHR Biomedical ResearchUNSPECIFIED
PubMed ID: 31322290
Web of Science ID: WOS:000483264700001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112628
Publisher's version: https://doi.org/10.1111/aogs.13687

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