Validation of a novel numerical model to predict regionalized blood flow in the coronary arteries.

Bifurcation Computational Fluid Dynamics Coronary flow

Journal

European heart journal. Digital health
ISSN: 2634-3916
Titre abrégé: Eur Heart J Digit Health
Pays: England
ID NLM: 101778323

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 04 10 2022
revised: 28 12 2022
medline: 29 3 2023
entrez: 28 3 2023
pubmed: 29 3 2023
Statut: epublish

Résumé

Ischaemic heart disease results from insufficient coronary blood flow. Direct measurement of absolute flow (mL/min) is feasible, but has not entered routine clinical practice in most catheterization laboratories. Interventional cardiologists, therefore, rely on surrogate markers of flow. Recently, we described a computational fluid dynamics (CFD) method for predicting flow that differentiates inlet, side branch, and outlet flows during angiography. In the current study, we evaluate a new method that regionalizes flow along the length of the artery. Three-dimensional coronary anatomy was reconstructed from angiograms from 20 patients with chronic coronary syndrome. All flows were computed using CFD by applying the pressure gradient to the reconstructed geometry. Side branch flow was modelled as a porous wall boundary. Side branch flow magnitude was based on morphometric scaling laws with two models: a homogeneous model with flow loss along the entire arterial length; and a regionalized model with flow proportional to local taper. Flow results were validated against invasive measurements of flow by continuous infusion thermodilution (Coroventis™, Abbott). Both methods quantified flow relative to the invasive measures: homogeneous ( During angiography and pressure wire assessment, coronary flow can now be regionalized and differentiated at the inlet, outlet, and side branches. The effect of epicardial disease on agreement suggests the model may be best targeted at cases with a stenosis close to side branches.

Identifiants

pubmed: 36974271
doi: 10.1093/ehjdh/ztac077
pii: ztac077
pmc: PMC10039427
doi:

Types de publication

Journal Article

Langues

eng

Pagination

81-89

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.

Déclaration de conflit d'intérêts

Conflict of interest: P.D.M. is named as an inventor on a University of Sheffield patent that describes elements of the CFD method. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Daniel J Taylor (DJ)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.

Jeroen Feher (J)

ANSYS Research and Development, Lyon, France.

Krzysztof Czechowicz (K)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.

Ian Halliday (I)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Insigneo Institute for In Silico Medicine, Sheffield, UK.

D R Hose (DR)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Insigneo Institute for In Silico Medicine, Sheffield, UK.

Rebecca Gosling (R)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Insigneo Institute for In Silico Medicine, Sheffield, UK.
Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Louise Aubiniere-Robb (L)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.

Marcel Van't Veer (M)

Department of Cardiology, Catharina Hospital, Eindhoven, Netherlands.
Department of Biomechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.

Danielle C J Keulards (DCJ)

Department of Cardiology, Catharina Hospital, Eindhoven, Netherlands.

Pim Tonino (P)

Department of Cardiology, Catharina Hospital, Eindhoven, Netherlands.
Department of Biomechanical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.

Michel Rochette (M)

ANSYS Research and Development, Lyon, France.

Julian P Gunn (JP)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Insigneo Institute for In Silico Medicine, Sheffield, UK.
Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Paul D Morris (PD)

Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Insigneo Institute for In Silico Medicine, Sheffield, UK.
Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.

Classifications MeSH