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PMID: 38459240 Published · ppublish English Journal Article

Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure.

Cardiovascular engineering and technology ·Vol. 15 ·No. 4 ·2024-08-00 ·页码 431-442

Chidyagwai SG, Kaplan MS, Jensen CW, Chen JS, Chamberlain RC, Hill KD, Barker PCA, Slesnick TC, Randles A

Abstract

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, Qp/Qs, time-averaged wall shear stress (TAWSS), and oscillatory shear index (OSI) were evaluated. 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 Qp/Qs, and greater TAWSS and OSI than models with a mBTTS. For both shunt types, larger shunts resulted in a higher Qp/Qs and higher TAWSS, with minimal effect on OSI. Low TAWSS areas correlated with regions of low flow and changing the PA-shunt anastomosis angle to face toward low TAWSS regions increased TAWSS. 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.

Keywords
Computational fluid dynamics Coronary perfusion Hypoplastic left heart syndrome Norwood procedure
MeSH 主题词
Pulmonary Artery/physiopathology,surgery,diagnostic imaging Humans Hypoplastic Left Heart Syndrome/surgery,physiopathology,diagnostic imaging Norwood Procedures Models, Cardiovascular Stress, Mechanical Hemodynamics Pulmonary Circulation Patient-Specific Modeling Cineangiography Blood Flow Velocity Infant, Newborn Treatment Outcome
作者与单位
共 9 位作者,点击展开单位 / ORCID
Chidyagwai Simbarashe G
Department of Biomedical Engineering, Duke University, 534 Research Drive, 27708, Durham, NC, USA.
Kaplan Michael S
Department of Biomedical Engineering, Duke University, 534 Research Drive, 27708, Durham, NC, USA. | Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Jensen Christopher W
Department of Biomedical Engineering, Duke University, 534 Research Drive, 27708, Durham, NC, USA. | Division of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University School of Medicine, Durham, NC, USA.
Chen James S
Department of Biomedical Engineering, Duke University, 534 Research Drive, 27708, Durham, NC, USA.
Chamberlain Reid C
Division of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.
Hill Kevin D
Division of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.
Barker Piers C A
Division of Pediatric Cardiology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.
Slesnick Timothy C
Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Randles Amanda
Department of Biomedical Engineering, Duke University, 534 Research Drive, 27708, Durham, NC, USA. [email protected].
Article Info
Journal
Cardiovascular engineering and technology
Abbr.
Cardiovasc Eng Technol
ISSN
1869-4098
Corresponding email
Published
2024-08-00
电子出版
2024-00-08
页码
431-442
Language
English
Country/Region
United States
NLM ID
101531846
基金资助
NIA NIH HHS · DP1 AG082343 · United States
NIH HHS · DP5 OD019876 · United States
NIH HHS · DP5OD019876 · United States
NIH HHS · DP1AG082343 · United States
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