TY - CHAP
T1 - Shape-Guided In-Silico Characterization of 3D Fetal Arch Hemodynamics in Suspected Coarctation of the Aorta
AU - Hermida, Uxio
AU - van Poppel, Milou P.M.
AU - Sabry, Malak
AU - Keramati, Hamed
AU - Lloyd, David F.A.
AU - Steinweg, Johannes K.
AU - Vigneswaran, Trisha V.
AU - Simpson, John M.
AU - Razavi, Reza
AU - Pushparajah, Kuberan
AU - Lamata, Pablo
AU - De Vecchi, Adelaide
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Computational fluid dynamics
KW - Digital twin
KW - Fetal magnetic resonance imaging
KW - Fetal shape analysis
KW - Wall shear stress
UR - http://www.scopus.com/inward/record.url?scp=85172721031&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35302-4_51
DO - 10.1007/978-3-031-35302-4_51
M3 - Chapter
AN - SCOPUS:85172721031
SN - 9783031353017
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 495
EP - 504
BT - Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
A2 - Bernard, Olivier
A2 - Clarysse, Patrick
A2 - Duchateau, Nicolas
A2 - Ohayon, Jacques
A2 - Viallon, Magalie
PB - Springer Science and Business Media Deutschland GmbH
T2 - Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
Y2 - 19 June 2023 through 22 June 2023
ER -