Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis.
Zhinuo J WangVicky Y WangChris P BradleyMartyn P NashAlistair A YoungJ Jane CaoPublished in: Journal of cardiovascular translational research (2018)
Understanding the aetiology of heart failure with preserved (HFpEF) and reduced (HFrEF) ejection fraction requires knowledge of biomechanical factors such as diastolic myocardial stiffness and stress. Cine CMR images and intra-ventricular pressure recordings were acquired in 8 HFrEF, 11 HFpEF and 5 control subjects. Diastolic myocardial stiffness was estimated using biomechanical models and found to be greater in HFrEF (6.4 ± 1.2 kPa) than HFpEF (2.7 ± 0.6 kPa, p < 0.05) and also greater than control (1.2 ± 0.4 kPa, p < 0.005). End-diastolic mid-ventricular myofibre stress derived from the personalised biomechanics model was higher in HFrEF (2.9 ± 0.3 kPa) than control (0.9 ± 0.3 kPa, p < 0.01). Chamber stiffness, measured from the slope of the diastolic pressure-volume relationship, is determined by the intrinsic tissue properties as well as the size and shape of the heart, and was unable to distinguish between any of the three groups (p > 0.05). Personalised biomechanical analysis may provide more specific information about myocardial mechanical behaviour than global chamber indices, which are confounded by variations in ventricular geometry.
Keyphrases
- left ventricular
- heart failure
- aortic stenosis
- cardiac resynchronization therapy
- hypertrophic cardiomyopathy
- ejection fraction
- acute myocardial infarction
- left atrial
- mitral valve
- finite element analysis
- finite element
- healthcare
- stress induced
- machine learning
- atrial fibrillation
- deep learning
- acute heart failure
- optical coherence tomography
- blood pressure
- convolutional neural network
- aortic valve
- social media
- transcatheter aortic valve replacement