Shape-Guided In-Silico Characterization of 3D Fetal Arch Hemodynamics in Suspected Coarctation of the Aorta

Uxio Hermida*, Milou P.M. van Poppel, Malak Sabry, Hamed Keramati, David F.A. Lloyd, Johannes K. Steinweg, Trisha V. Vigneswaran, John M. Simpson, Reza Razavi, Kuberan Pushparajah, Pablo Lamata, Adelaide De Vecchi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Coarctation of the aorta (CoA) is a prevalent congenital heart defect. Its prenatal diagnosis is challenging, with high false positive rates. The exact cause of CoA is yet not fully understood. Recent research has provided novel insights into the anatomical determinants of CoA based on the in-utero arch anatomy. However, it is also recognized that the pathophysiology of CoA is also intrinsically linked to abnormal flow dynamics. To investigate the interplay between arch anatomy and flow, Computational Fluid Dynamics (CFD) analysis was performed in two fetal cases - a true and a false positive CoA. These anatomies were selected from a population of 108 fetuses with suspected CoA based on a statistical shape analysis score and clinical outcomes. A simplified 0D model of the fetal circulation informed by 2D PC-MRI was used to find patient-specific boundary conditions for an open-loop 3D-0D CFD model. Results from the 3D CFD models were validated against clinical imaging data for each case and provided initial evidence of hemodynamic differences between false positive and true positive CoA cases. These findings demonstrate the potential of using the SSM-guided CFD analysis on a larger cohort of representative cases to better understand the disease mechanisms in CoA and improve its diagnosis before birth.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
EditorsOlivier Bernard, Patrick Clarysse, Nicolas Duchateau, Jacques Ohayon, Magalie Viallon
PublisherSpringer Science and Business Media Deutschland GmbH
Pages495-504
Number of pages10
ISBN (Print)9783031353017
DOIs
Publication statusPublished - 2023
Externally publishedYes
EventFunctional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings - Lyon, France
Duration: 19 Jun 202322 Jun 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13958 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceFunctional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
Country/TerritoryFrance
CityLyon
Period19/06/2322/06/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Computational fluid dynamics
  • Digital twin
  • Fetal magnetic resonance imaging
  • Fetal shape analysis
  • Wall shear stress

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