This Research Topic is part of the Computational Biomechanics for Ventricle-arterial Dysfunction and Remodeling in Heart Failure series:
Computational Biomechanics for Ventricle-arterial Dysfunction and Remodeling in Heart Failure, Volume II Interactions between left ventricle (LV) and systemic circulation and between right ventricle (RV) and pulmonary circulation are key determinants of cardiac and cardiovascular functions. The global performance of LV-arterial coupling (e.g., the ratio of effective arterial elastance, time-varying pressure -flow relations, and effects of wave reflections) has been applied to many clinical scenarios such as aging, hypertension, heart failure (HF), dilated cardiomyopathy. The global approach, however, has significant limitations in heart failure with preserved ejection fraction (HFpEF) albeit it can provide useful information regarding the mechanical efficiency and performance in heart failure with reduced ejection fraction (HFrEF). This approach is also less informative in the study of RV dysfunction and its coupling with pulmonary circulation in HF. With the development of simulation-based biomechanics in recent years, it is required to demonstrate accurate analysis of local ventricle-arterial functions and remodeling in health and disease, particularly in the progression of HF.
This Research Topic looks for papers in the fields of computational biomechanics, cardiac and cardiovascular biomechanics. To improve our understanding and treatments of cardiac and cardiovascular dysfunctions and their coupling abnormalities associated with the occurrence and development of HFpEF or HFrEF, we welcome the frontier basic and clinical studies including original, review, and meta-analysis research articles as:
1) Cardiac stress and strain analysis using computational models
2) Hemodynamics in systemic/pulmonary circulation or coronary circulation
3) Advanced biomechanics models of LV/RV-arterial coupling and remodeling
4) Computational models based on bio-imaging measurements in patients of HF
5) Machine learning methods to enhance the accuracy of computational biomechanics
6) Computational models to aid in the development of medical devices for treatment of HF
We also welcome any other research articles in computational biomechanics, cardiac and cardiovascular biomechanics relevant to various clinical diseases.
Topic Editor Dr. Wei Sun is a co-founder and serves as the Chief Scientific Adviser of Dura Biotech. He has received compensation and owns equity in the company. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
