The onset of coarctation of the aorta before birth: Mechanistic insights from fetal arch anatomy and haemodynamics.

Computational fluid dynamics Digital twin Fetal magnetic resonance imaging Statistical shape model Wall shear stress

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
11 Sep 2024
Historique:
received: 28 12 2023
revised: 17 06 2024
accepted: 23 08 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

Accurate prenatal diagnosis of coarctation of the aorta (CoA) is challenging due to high false positive rate burden and poorly understood aetiology. Despite associations with abnormal blood flow dynamics, fetal arch anatomy changes and alterations in tissue properties, its underlying mechanisms remain a longstanding subject of debate hindering diagnosis in utero. This study leverages computational fluid dynamics (CFD) simulations and statistical shape modelling to investigate the interplay between fetal arch anatomy and blood flow alterations in CoA. Using cardiac magnetic resonance imaging data from 188 fetuses, including normal controls and suspected CoA cases, a statistical shape model of the fetal arch anatomy was built. From this analysis, digital twin models of false and true positive CoA cases were generated. These models were then used to perform CFD simulations of the three-dimensional fetal arch haemodynamics, considering physiological variations in arch shape and blood flow conditions across the disease spectrum. This analysis revealed that independent changes in the shape of. the arch and the balance of left-to-right ventricular output led to qualitatively similar haemodynamic alterations. Transitioning from a false to a true positive phenotype increased retrograde flow through the aortic isthmus. This resulted in the appearance of an area of low wall shear stress surrounded by high wall shear stress values at the flow split apex on the aortic posterior wall opposite the ductal insertion point. Our results suggest a distinctive haemodynamic signature in CoA characterised by the appearance of retrograde flow through the aortic isthmus and altered wall shear stress at its posterior side. The consistent link between alterations in shape and blood flow in CoA suggests the need for comprehensive anatomical and functional diagnostic approaches in CoA. This study presents an application of the digital twin approach to support the understanding of CoA mechanisms in utero and its potential for improved diagnosis before birth.

Identifiants

pubmed: 39265477
pii: S0010-4825(24)01162-4
doi: 10.1016/j.compbiomed.2024.109077
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109077

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None declared.

Auteurs

Uxio Hermida (U)

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK. Electronic address: uxio.hermida_nunez@kcl.ac.uk.

Milou P M van Poppel (MPM)

Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

Malak Sabry (M)

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

Hamed Keramati (H)

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

Johannes K Steinweg (JK)

Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

John M Simpson (JM)

Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK.

Trisha V Vigneswaran (TV)

Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK.

Reza Razavi (R)

Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK.

Kuberan Pushparajah (K)

Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK.

David F A Lloyd (DFA)

Department of Perinatal Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK; Department of Congenital Heart Disease, Evelina London Children's Hospital, SE1 7EH, UK.

Pablo Lamata (P)

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

Adelaide De Vecchi (A)

Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.

Classifications MeSH