ArticleJournal of the American Heart Association2021
Introduction to Hemodynamic Forces Analysis: Moving Into the New Frontier of Cardiac Deformation Analysis.
Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 76 citations in OpenAlex.
- Late-systolic to early-diastolic hemodynamic force analysis in ischemic heart disease using vector flow mapping and invasive pressure measurement.Heart and vessels · 2026Article
- Ultrasound-based haemodynamic force trajectories in a murine model of reversible pressure overload.The Journal of physiology · 2026Article
- Apical hypercontractility mitigates impaired diastolic filling and lower intraventricular haemodynamic forces in human bed rest.Experimental physiology · 2026Article
- Hypoplastic Left Heart Syndrome Cardiomyocytes Exhibit Intrinsic Stress Vulnerabilities and Augmented Stress Responses in vitro.Stem cell reviews and reports · 2026Article
- From microgravity to hypergravity: Perspectives on circulatory adaptation through multiscale modelling.The Journal of physiology · 2026Article
- Left ventricular strain and hemodynamic forces from cine CMR for detecting constrictive physiology in pericarditis.Insights into imaging · 2026Article
- Hemodynamics in heart: the critical role of hemodynamics in myocardial tissue development and regenerative remodeling.International journal of cardiology. Heart & vasculature · 2026Review
- Relationship between hemodynamic forces based on CMR and major adverse cardiac events in cancer patients treated with anti-PD-1/PD-L1 immune checkpoint inhibitors.BMC medical imaging · 2026Article
- Integrated Strain-Flow Analysis for Early Assessment of Right Ventricular Dysfunction in Pulmonary Arterial Hypertension.Annals of biomedical engineering · 2026Article
- Hemodynamic forces derived from cine cardiac magnetic resonance imaging: technical aspects, applications in various clinical scenarios, and in athlete's heart.Frontiers in cardiovascular medicine · 2026Review
- Force Reversal During Systolic-Diastolic Transition Provides Incremental Prognostic Value over LVEF for Heart Failure After STEMI.Journal of clinical medicine · 2025Article
- Comparison of left ventricular hemodynamic forces measured by transthoracic echocardiography and cardiac magnetic resonance imaging in healthy adults.Scientific reports · 2025Article
- Intraventricular pressure difference estimation based on blood speckle tracking-invasive validation and early clinical application.European heart journal. Cardiovascular Imaging · 2025Article
- Left ventricular flow dynamics by cardiac imaging techniques in heart failure patients: state of the art.Cardiovascular ultrasound · 2025Review
- Impaired hemodynamic forces assessed by routine CMR and its determinants in different duration T2DM patients with normal LV function and myocardial strain.Frontiers in cardiovascular medicine · 2025Article
- 2D speckle-tracking echocardiography assessment of left atrial and left ventricular mechanics: outcomes in patients with atrial fibrillation treated with hybrid ablation and left atrial appendage surgical closure.Frontiers in bioengineering and biotechnology · 2025Article
- Intracardiac fluid dynamic analysis: available techniques and novel clinical applications.BMC cardiovascular disorders · 2024Review
- Cardiac Functional Assessment by Magnetic Resonance Imaging.Cardiology discovery · 2024Review
- Association between echocardiography-derived haemodynamic force parameters and left ventricular reverse remodelling after cardiac resynchronization therapy.European heart journal. Cardiovascular Imaging · 2024Article
- Differences in cardiac mechanics assessed by left ventricular hemodynamic forces in athletes and patients with hypertension.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential relevance of blood flow for describing cardiac function has been known for the past 2 decades, but the association of clinical parameters with the complexity of fluid motion is still not well understood. Hemodynamic force (HDF) analysis represents a promising approach for the study of blood flow within the ventricular chambers through the exploration of intraventricular pressure gradients. Previous experimental studies reported the significance of invasively measured cardiac pressure gradients in patients with heart failure. Subsequently, advances in cardiovascular imaging allowed noninvasive assessment of pressure gradients during progression and resolution of ventricular dysfunction and in the setting of resynchronization therapy. The HDF analysis can amplify mechanical abnormalities, detect them earlier compared with conventional ejection fraction and strain analysis, and possibly predict the development of cardiac remodeling. Alterations in HDFs provide the earliest signs of impaired cardiac physiology and can therefore transform the existing paradigm of cardiac function analysis once implemented in routine clinical care. Until recently, the HDF investigation was possible only with contrast-enhanced echocardiography and magnetic resonance imaging, precluding its widespread clinical use. A mathematical model, based on the first principle of fluid dynamics and validated using 4-dimensional-flow-magnetic resonance imaging, has allowed HDF analysis through routine transthoracic echocardiography, making it more readily accessible for routine clinical use. This article describes the concept of HDF analysis and reviews the existing evidence supporting its application in several clinical settings. Future studies should address the prognostic importance of HDF assessment in asymptomatic patients and its incorporation into clinical decision pathways.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.