Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure.
Computational fluid dynamics
Coronary perfusion
Hypoplastic left heart syndrome
Norwood procedure
Journal
Cardiovascular engineering and technology
ISSN: 1869-4098
Titre abrégé: Cardiovasc Eng Technol
Pays: United States
ID NLM: 101531846
Informations de publication
Date de publication:
08 Mar 2024
08 Mar 2024
Historique:
received:
17
07
2023
accepted:
19
02
2024
medline:
9
3
2024
pubmed:
9
3
2024
entrez:
8
3
2024
Statut:
aheadofprint
Résumé
This study created 3D CFD models of the Norwood procedure for hypoplastic left heart syndrome (HLHS) using standard angiography and echocardiogram data to investigate the impact of shunt characteristics on pulmonary artery (PA) hemodynamics. Leveraging routine clinical data offers advantages such as availability and cost-effectiveness without subjecting patients to additional invasive procedures. Patient-specific geometries of the intrathoracic arteries of two Norwood patients were generated from biplane cineangiograms. "Virtual surgery" was then performed to simulate the hemodynamics of alternative PA shunt configurations, including shunt type (modified Blalock-Thomas-Taussig shunt (mBTTS) vs. right ventricle-to-pulmonary artery shunt (RVPAS)), shunt diameter, and pulmonary artery anastomosis angle. Left-right pulmonary flow differential, Q There was strong agreement between clinically measured data and CFD model output throughout the patient-specific models. Geometries with a RVPAS tended toward more balanced left-right pulmonary flow, lower Q Excellent correlation between clinically measured and CFD model data shows that 3D CFD models of HLHS Norwood can be developed using standard angiography and echocardiographic data. The CFD analysis also revealed consistent changes in PA TAWSS, flow differential, and OSI as a function of shunt characteristics.
Identifiants
pubmed: 38459240
doi: 10.1007/s13239-024-00724-3
pii: 10.1007/s13239-024-00724-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIH HHS
ID : DP5OD019876
Pays : United States
Organisme : NIH HHS
ID : DP1AG082343
Pays : United States
Informations de copyright
© 2024. The Author(s) under exclusive licence to Biomedical Engineering Society.
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