Future applications of strain imaging


Since its birth in the late 1990s, strain echocardiography has continued to grow over the past 20 years. Currently, global longitudinal strain (GLS) has been standardized for clinical application as a robust diagnostic and prognostic marker with substantial incremental value over the traditional indicators of systolic function such as left ventricular ejection fraction (LVEF) in various diseases. However, several challenges remain to be addressed. More work is required to standardize strain values among vendors. The Strain Standardization Task Force led by the American Society of Echocardiography and European Association of Cardiovascular Imaging has helped to reduce the intervendor variability of GLS, , which has become a robust measure. The same cannot be said for regional strain, which shows test–retest variability ( Fig. 10.1 ) and continuing intervendor variability ( Fig. 10.2 ) in the transmural components of myocardial mechanics. These remain important barriers for clinical utilization. High dependency on image quality and lack of applicability for contrast-enhanced cardiac ultrasound images limits generalizability. Furthermore, lack of familiarity, the learning curve, and cognitive load that results from the display of strain curves and values can confound user interpretation and communication. Nevertheless, the recent introduction of a new current procedural terminology (CPT) code in the United States for reporting myocardial strain imaging has accelerated the clinical adoption of strain in clinical practice. Considering the renewed clinical interest, this chapter therefore attempts to develop a roadmap of opportunities and innovations that are likely to shape the future growth of strain echocardiography in the clinical and research settings.

Fig. 10.1
Test–retest variability of regional strain. The average absolute test–retest difference of segmental longitudinal peak (PS), end-systolic (ES), and postsystolic strain (PSS) measurements are similar for each vendor. However, the absolute difference of 4% is relatively large, and the standard deviation indicates that the absolute difference of individual measurements between tests may be 8%, providing a relative difference of 30% to 50%.

(From Mirea O, Pagourelias ED, Duchenne J, et al. Variability and reproducibility of segmental longitudinal strain measurement: a report from the EACVI-ASE Strain Standardization Task Force. JACC Cardiovasc Imaging . 2018;11:15-24.)

Fig. 10.2
Average segmental longitudinal peak (PS), end-systolic (ES), and postsystolic strain (PSS) measurements with each vendor. Average regional strain in the same patients varies between 14% and 18% using different software, again with large standard deviations.

(From Mirea O, Pagourelias ED, Duchenne J, et al. Variability and reproducibility of segmental longitudinal strain measurement: a report from the EACVI-ASE Strain Standardization Task Force. JACC Cardiovasc Imaging . 2018;11:15-24.)

Strain imaging as a biomarker for clinical trials

One of the imminent applications of strain imaging is its use as a surrogate endpoint for clinical trials. Although hard endpoints, such as mortality, are considered important in medical research, observing them requires a large sample size and a long follow-up. Traditionally, LVEF has been considered as the representative surrogate endpoint for reflecting change in cardiac systolic function. However, the reliability of GLS has grown with evidence of reproducibility when observers are properly trained, and clinical trials have begun employing strain as a reproducible and objective endpoint. For example, Ikonomidis et al studied the effect of interleukin-12 inhibition on cardiac function in patients with psoriasis using strain parameters as the primary outcome. They demonstrated that the improvement of GLS was significantly greater in the anti-interleukin drug arm compared with the tumor necrosis factor-alpha and cyclosporine arm. As such, many large cohort studies, such as Copenhagen Heart Study and ARIC Study, use speckle-tracking echocardiography for analysis of LV systolic function. , Interestingly, LVEF failed to show changes in systolic function in any arm. The Strain sUrveillance of Chemotherapy for improving Cardiovascular Outcomes (SUCCOUR) study is another interesting and unique study in which strain echocardiography is being compared in efficacy to conventional echocardiographic parameters. In the study, older adult patients who are undergoing chemotherapy using anthracyclines have been randomized to either a GLS-guided or an LVEF-guided arm ( Fig. 10.3 ). In the GLS-guided arm, a relative red uction of GLS by 12% in any follow-up echocardiography (3, 6, 9, and 12 months) is being considered as a threshold for initiating cardioprotective therapy, whereas protective therapy in the LVEF-guided arm is started in response to a conventional LVEF cutoff (a symptomatic drop of >5% of two-dimensional [2D] LVEF, or >10% asymptomatic drop to 2D LVEF <55%). Of 307 patients who were followed up over 1 year, significantly fewer patients developed CTRCD in the GLS-guided arm (9 [5.8%] vs 21 [13.7%], P = .022), although the primary endpoint of change in LVEF was similar (−3.0% vs −2.7%, P = .69).

Fig. 10.3, Study design of Strain sUrveillance of Chemotherapy for improving Cardiovascular Outcomes (SUCCOUR) study. The figure shows the study flow chart of the SUCCOUR study, in which global longitudinal strain plays the key role of therapeutic guidance. Patients are randomized to modality (ejection fraction [EF] or global longitudinal strain. asympt , Asymptomatic; HF , heart failure; sympt , symptomatic.

Thus the ability of strain to identify subtle systolic dysfunction that cannot be appreciated by LVEF is driving its introduction into the mainstream in evaluation of systolic dysfunction especially in early stages of cardiovascular diseases. Collective evidence from randomized clinical trials may further help with formulation of recommendations for the use of strain in clinical practice guidelines. Furthermore, Aguilar and colleagues reported “archeological” strain echocardiography, which indicates assessing strain parameters from old-fashioned analogue archival echocardiographic images by digitalizing them. This technology may open up unique and interesting opportunities to use historical echocardiographic images to study the impact of subclinical LV dysfunction on outcome.

Three-dimensional strain imaging

Although two-dimensional (2D) strain imaging has been shown as a useful tool in clinical studies, there are several inherent limitations. First, the heart is a three-dimensional (3D) structure, and the direction of its movement (contraction and relaxation) occurs not only in the direction of ultrasound beam but also in the direction of the fiber orientation. Consequently, some portion of the myocardium also moves perpendicular to the ultrasound beam (through-plane phenomenon), and 2D speckle tracking may not be tracking the same myocardium throughout the cardiac cycle. Second, 2D strain imaging provides polar map (bull’s-eye map) of the strain values that is extrapolated to represent all segments of the heart. However, it is a reconstruction from only three standard views (apical, short axis, and parasternal views), which may overlook subtle regional abnormalities in areas that are not appreciated in these views. In addition, the orientation and positioning of the probe in acquisition of these three views can vary depending on the individual morphology of the heart. The heartbeat used for each of these three views is also different. These limitations can be overcome by using strain imaging from 3D echocardiography, which theoretically should be a better approach to study mechanical function of the heart. Although 3D echocardiography has had several limitations such as lower image quality and lower frame rates compared with 2D echocardiography, state-of-the-art technologies are making these limitations less significant. The latest 3D applications can scan the entire left ventricle over a single cardiac beat with good image quality with a volume rate of around 30/second, which is analogous to the temporal resolution of DICOM images that are often used for strain in postprocessing. Steps for standardizing the use of 3D strain and further head-to-head comparison with 2D strain in real-world settings will potentially allow verifying its applicability in clinical practice.

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