Improving characterization of hypertrophy-induced murine cardiac dysfunction using four-dimensional ultrasound-derived strain mapping

• Published in: American journal of physiology. Heart and circulatory physiology 2021-07, Vol.321 (1), p.H197-H207
• Main Authors: Damen, Frederick W., Salvas, John P., Pereyra, Andrea S., Ellis, Jessica M., Goergen, Craig J.
• Format: Article
• Language: English
• Subjects: Aging; Animal models; Cardiomyocytes; Cardiomyopathy; Carnitine; Carnitine palmitoyltransferase; Congestive heart failure; Coronary artery disease; Fatty acids; Finite element method; Heart function; Hypertrophy; Imaging; Innovative Methodology; Kinematics; Mapping; Metabolism; Morphometry; Palmitoyltransferase; Ultrasonic imaging; Ultrasound
• ISSN: 0363-6135; 1522-1539
• DOI: 10.1152/ajpheart.00133.2021

High-frequency four-dimensional ultrasound can be used in conjunction with standardized analysis procedures to simultaneously extract left-ventricular global function, morphometry, and regional strain metrics. Furthermore, a novel hybrid strain index (HSI) formula demonstrates greater performance compared with all other metrics in characterizing disease progression in a model of metabolic cardiomyopathy. Mouse models of cardiac disease have become essential tools in the study of pathological mechanisms, but the small size of rodents makes it challenging to quantify heart function with noninvasive imaging. Building off recent developments in high-frequency four-dimensional ultrasound (4DUS) imaging, we have applied this technology to study cardiac dysfunction progression in a murine model of metabolic cardiomyopathy. Cardiac knockout of carnitine palmitoyltransferase 2 ( Cpt2 M−/− ) in mice hinders cardiomyocyte bioenergetic metabolism of long-chain fatty acids, and leads to progressive cardiac hypertrophy and heart failure. The proposed analysis provides a standardized approach to measure localized wall kinematics and simultaneously extracts metrics of global cardiac function, LV morphometry, regional circumferential strain, and regional longitudinal strain from an interpolated 4-D mesh of the endo- and epicardial boundaries. Comparison of metric changes due to aging suggests that circumferential strain at the base and longitudinal strain along the posterior wall are most sensitive to disease progression. We further introduce a novel hybrid strain index (HSI) that incorporates information from these two regions and may have greater utility to characterize disease progression relative to other extracted metrics. Potential applications to additional disease models are discussed that could further demonstrate the utility of metrics derived from 4DUS imaging and strain mapping. NEW & NOTEWORTHY High-frequency four-dimensional ultrasound can be used in conjunction with standardized analysis procedures to simultaneously extract left-ventricular global function, morphometry, and regional strain metrics. Furthermore, a novel hybrid strain index (HSI) formula demonstrates greater performance compared with all other metrics in characterizing disease progression in a model of metabolic cardiomyopathy.