Key result
Natural shear wave imaging predicts elevated LV filling pressures with up to ~97% accuracy.
Why the study?
Assessing diastolic dysfunction remains challenging, as current guidelines rely on complex multiparametric echocardiographic algorithms to predict elevated LVFP. Although high-frame rate natural shear wave imaging is a promising non-invasive biomarker, multicenter validation using commercial scanning systems against invasive LV pressure measurements had not yet been performed.
Does high-frame rate natural shear wave imaging improve diagnostic accuracy for predicting elevated left ventricular filling pressure compared to guideline-based echocardiographic algorithms in patients undergoing left heart catheterization?
Observational (n=44)
Yes
Does high-frame rate natural shear wave imaging improve diagnostic accuracy for predicting elevated left ventricular filling pressure compared to guideline-based echocardiographic algorithms in patients undergoing left heart catheterization?
Answers are grounded in this paper and cite their sources.
High-frame rate natural shear wave imaging strongly correlates with invasive left ventricular filling pressures and predicts elevated filling pressures more accurately than existing echocardiographic guideline algorithms.
Background Diastolic dysfunction plays a pivotal role in many cardiovascular diseases, yet its assessment remains challenging. Current guidelines rely on complex decision trees integrating multiple echocardiographic parameters to predict elevated left ventricular filling pressure (LVFP) as a surrogate of diastolic dysfunction. Recently, high–frame rate shear wave (HFR-SW) imaging has emerged as a promising single, non-invasive biomarker to predict LVFP. Natural SWs—mechanical vibrations induced, for example, by mitral valve closure (MVC)—propagate at velocities directly related to myocardial stiffness, a key determinant of LVFP. However, multicenter validation of HFR-SW imaging using commercial scanning systems against invasive LV pressure measurements has not yet been performed. Purpose To compare the diagnostic accuracy of natural SW imaging with both existing and newly proposed guideline algorithms for predicting elevated LVFP in a multicenter setting. Methods At the Leuven site, we prospectively enrolled 44 patients (mean age 67.7 ± 10.8 years) undergoing clinically indicated left heart catheterization, irrespective of diastolic function status. Comprehensive conventional and HFR echocardiography (ca. 1200 frames/s) was performed within 1 hour after catheterization. In the parasternal long-axis view, SWs after MVC were tracked using an anatomical M-mode positioned along the interventricular septum from base to apex and color-coded for tissue acceleration. SWs appeared as tilted green bands, and their propagation velocity was measured semi-automatically (Figure 1). Data analysis at other centers are still in process. Results In our cohort, LV mid-diastolic pressure (LVMDP) ranged from 2 to 19.3 mmHg, and LV end-diastolic pressure (LVEDP) from 7.3 to 29.3 mmHg. Elevated filling pressures were defined as LVMDP > 15 mmHg and LVEDP > 16 mmHg. SW propagation velocities were significantly higher among patients with elevated LVEDP regardless of age (Figure 2A) and correlated strongly with invasive diastolic pressures (r = 0.74 for LVEDP, and r = 0.67 for LVMDP; p < 0.001 for both) (Figure 2 B, C). A SW speed cut-off ≥ 5.8 m/s accurately identified elevated LVMDP (AUC = 0.92; sensitivity = 88%; specificity = 83%; accuracy = 84%), outperforming both the former and updated guideline algorithms (80% and 73%, respectively) (Figure 2 D). The same cut-off also discriminated elevated LVEDP with excellent performance (AUC = 0.99; sensitivity 93%; specificity 100%; accuracy 97%), again exceeding guideline-based approaches (77% and 75%; Figure 2 E). Conclusions Our preliminary data showed that SW velocities after MVC are strongly related to LV filling pressures and can predict elevated LV filling pressures more accurately than the existing guidelines algorithms. This ongoing study shows the potential of natural shear wave imaging as a promising single, non-invasive tool for assessment of diastolic function.
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Youssef et al. (2026) conducted an observational in Diastolic dysfunction / Elevated left ventricular filling pressure (n=44). High-frame rate natural shear wave imaging (SW speed cut-off ≥ 5.8 m/s) vs. Existing and updated guideline algorithms (validated against invasive LV pressure measurements) was evaluated on Diagnostic accuracy for predicting elevated left ventricular filling pressures (LVMDP > 15 mmHg and LVEDP > 16 mmHg) (AUC 0.99 for LVEDP (accuracy 97%); AUC 0.92 for LVMDP (accuracy 84%), p=<0.001). Natural shear wave imaging (cut-off ≥5.8 m/s) predicted elevated LVEDP (AUC 0.99, accuracy 97%) and LVMDP (AUC 0.92, accuracy 84%) more accurately than guideline algorithms (73-80%).
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