Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention

Yanhang Zhang, Victor H. Barocas, Scott A. Berceli, Colleen E Clancy, David M. Eckmann, Marc Garbey, Ghassan S. Kassab, Donna R. Lochner, Andrew D. McCulloch, Roger Tran-Son-Tay, Natalia A. Trayanova

Research output: Contribution to journalArticle

31 Scopus citations

Abstract

Cardiovascular diseases (CVDs) are the leading cause of death in the western world. With the current development of clinical diagnostics to more accurately measure the extent and specifics of CVDs, a laudable goal is a better understanding of the structure–function relation in the cardiovascular system. Much of this fundamental understanding comes from the development and study of models that integrate biology, medicine, imaging, and biomechanics. Information from these models provides guidance for developing diagnostics, and implementation of these diagnostics to the clinical setting, in turn, provides data for refining the models. In this review, we introduce multi-scale and multi-physical models for understanding disease development, progression, and designing clinical interventions. We begin with multi-scale models of cardiac electrophysiology and mechanics for diagnosis, clinical decision support, personalized and precision medicine in cardiology with examples in arrhythmia and heart failure. We then introduce computational models of vasculature mechanics and associated mechanical forces for understanding vascular disease progression, designing clinical interventions, and elucidating mechanisms that underlie diverse vascular conditions. We conclude with a discussion of barriers that must be overcome to provide enhanced insights, predictions, and decisions in pre-clinical and clinical applications.

Original languageEnglish (US)
Pages (from-to)2642-2660
Number of pages19
JournalAnnals of Biomedical Engineering
Volume44
Issue number9
DOIs
StatePublished - Sep 1 2016

Keywords

  • Cardiac mechanics
  • Cardiovascular fluid mechanics
  • Constitutive model
  • Electrophysiological modeling
  • Extracellular matrix
  • Mechanical forces
  • Multi-scale modeling
  • Pathway network analysis
  • Vascular mechanics

ASJC Scopus subject areas

  • Biomedical Engineering

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