Literature DB >> 24363304

Scalability and in vivo validation of a multiscale numerical model of the left coronary circulation.

Jonathan P Mynard1, Daniel J Penny, Joseph J Smolich.   

Abstract

Multiscale modeling is a promising tool for the study of coronary hemodynamics. A key strength of this approach is that it accounts for microvascular properties and extravascular forces that differ regionally and transmurally, as well as wave propagation effects in the conduit arteries. However, little validation of such models has been reported and no models of the newborn coronary circulation have been described. We therefore validated a multiscale model of the left coronary circulation using high-fidelity data from nine adult sheep and nine newborn lambs and investigated whether wave propagation effects are more prominent in adults, whose body size (and hence wave transit distance) is greater. The model consisted of a one-dimensional (1D) network of the major conduit arteries and a lumped parameter model of microvascular beds. Intramyocardial pressure was considered to arise via contraction-related myocyte thickening and transmission of ventricular cavity pressure into the heart wall. 1D network geometry from published human anatomical data was scaled using myocardial weights, while subject-specific aortic pressure/flow and ventricular pressure formed model inputs. Total vascular resistance was determined iteratively from measured mean circumflex coronary flow (CxQ), but no fitting of phasic aspects of the waveform was performed. Excellent agreement was obtained between simulated and measured CxQ waveforms in most cases. Detailed flow waveform analysis did not clearly reveal a greater prominence of wave propagation effects in adults compared with newborns. This multiscale model is likely to be useful for investigating wave phenomena and phasic aspects of coronary flow in adults and during development.

Entities:  

Keywords:  allometric scaling; computer model; coronary arteries; hemodynamics; newborn; wave propagation

Mesh:

Year:  2013        PMID: 24363304     DOI: 10.1152/ajpheart.00603.2013

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  18 in total

1.  Major influence of a 'smoke and mirrors' effect caused by wave reflection on early diastolic coronary arterial wave intensity.

Authors:  Jonathan P Mynard; Daniel J Penny; Joseph J Smolich
Journal:  J Physiol       Date:  2018-02-13       Impact factor: 5.182

2.  Diagnostic performance of virtual fractional flow reserve derived from routine coronary angiography using segmentation free reduced order (1-dimensional) flow modelling.

Authors:  Kevin Mohee; Jonathan P Mynard; Gauravsingh Dhunnoo; Rhodri Davies; Perumal Nithiarasu; Julian P Halcox; Daniel R Obaid
Journal:  JRSM Cardiovasc Dis       Date:  2020-11-05

3.  Multiscale model of the physiological control of myocardial perfusion to delineate putative metabolic feedback mechanisms.

Authors:  Hamidreza Gharahi; C Alberto Figueroa; Johnathan D Tune; Daniel A Beard
Journal:  J Physiol       Date:  2022-03-06       Impact factor: 6.228

4.  Effects of myocardial function and systemic circulation on regional coronary perfusion.

Authors:  Ravi Namani; Lik C Lee; Yoram Lanir; Benjamin Kaimovitz; Sheikh M Shavik; Ghassan S Kassab
Journal:  J Appl Physiol (1985)       Date:  2020-02-20

5.  Role of coronary flow regulation and cardiac-coronary coupling in mechanical dyssynchrony associated with right ventricular pacing.

Authors:  Lei Fan; Ravi Namani; Jenny S Choy; Yousif Awakeem; Ghassan S Kassab; Lik Chuan Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-12-24       Impact factor: 4.733

6.  Central Pressure Appraisal: Clinical Validation of a Subject-Specific Mathematical Model.

Authors:  Francesco Tosello; Andrea Guala; Dario Leone; Carlo Camporeale; Giulia Bruno; Luca Ridolfi; Franco Veglio; Alberto Milan
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

7.  Impact of coronary bifurcation morphology on wave propagation.

Authors:  Simone Rivolo; Lucas Hadjilucas; Matthew Sinclair; Pepijn van Horssen; Jeroen van den Wijngaard; Roman Wesolowski; Amedeo Chiribiri; Maria Siebes; Nicolas P Smith; Jack Lee
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-07-08       Impact factor: 4.733

Review 8.  Overview of mathematical modeling of myocardial blood flow regulation.

Authors:  Ravi Namani; Yoram Lanir; Lik Chuan Lee; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-03-06       Impact factor: 4.733

9.  A mathematical model of coronary blood flow control: simulation of patient-specific three-dimensional hemodynamics during exercise.

Authors:  Christopher J Arthurs; Kevin D Lau; Kaleab N Asrress; Simon R Redwood; C Alberto Figueroa
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-03-04       Impact factor: 4.733

10.  In silico coronary wave intensity analysis: application of an integrated one-dimensional and poromechanical model of cardiac perfusion.

Authors:  Jack Lee; David Nordsletten; Andrew Cookson; Simone Rivolo; Nicolas Smith
Journal:  Biomech Model Mechanobiol       Date:  2016-03-23
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