A mathematical model of coronary blood flow control : Simulation of patientspecific three-dimensional hemodynamics during exercise
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 124459769
- Type
- D - Journal article
- DOI
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10.1152/ajpheart.00517.2015
- Title of journal
- American Journal of Physiology (Heart and Circulatory Physiology)
- Article number
- -
- First page
- H1242
- Volume
- 310
- Issue
- 9
- ISSN
- 0363-6135
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Impaired regulation of coronary microvascular resistance is implicated in coronary artery disease, but poorly understood. We introduce the first feedback model of coronary resistance control during 3D Navier-Stokes flow simulation. It comprises a novel, rigorous mathematical conceptualisation of the cardiac oxygen supply/demand balance. It reproduces observed coronary flow changes in patient exercise data (422 seconds in duration), via one of the most extensive 3D blood flow simulation ever run. We subsequently used it to model pre-operative risk to the coronary circulation during liver transplant [https://doi.org/10.1371/journal.pone.0205829]. It is available online as part of our software package, CRIMSON [www.crimson.software], at https://github.com/carthurs/CRIMSONFlowsolver/tree/master/testbin/mainTests/netlist/coronaryControlPython
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
