Key result
Clinical and echo model strongly correlates with CT-based hybrid AVA, supporting CT-free estimation in severe AS.
Why the study?
Echocardiography significantly underestimates LVOT area, causing underestimation of AVA, prompting the need to identify predictors of measurement error and predict CT-based AVA using clinical and echocardiographic parameters.
Can a model using clinical and echocardiographic parameters accurately predict CT-based hybrid aortic valve area in patients with severe aortic stenosis?
Observational (n=1,815)
Can a model using clinical and echocardiographic parameters accurately predict CT-based hybrid aortic valve area in patients with severe aortic stenosis?
Effect estimate: r=0.85
p-value: p=<0.001
A novel model using clinical and echocardiographic parameters can accurately estimate CT-based hybrid aortic valve area, potentially allowing for CT-free assessment of aortic stenosis severity.
Introduction Echocardiography significantly underestimates left ventricular outflow tract (LVOT) area resulting in the underestimation of aortic valve area (AVA). Our aim was to identify predictors of measurement error between echocardiography and CT-based LVOT area and develop a model to predict CT-based AVA values (hybrid AVA: using CT-based LVOT) using only clinical and echocardiographic parameters. Methods Consecutive severe AS patients between January 1, 2020, and September 1, 2024, were analyzed to identify predictors of relative measurement inaccuracy using linear regression. We developed a model using only clinical and echocardiographic parameters to estimate CT-based hybrid AVA and validated it on consecutive patients between September 2, 2024, and September 1, 2025. Results Overall, 1367 patients were analyzed (mean age 79.3±6.3 years, 725 female). The mean difference between echocardiography- and CT-based LVOT area was -162 mm2±98.2mm2, resulting in an AVA mean difference of -0.29±0.18cm2, which led to reclassification of 31% of patients using a hybrid AVA cut-off of ≥1cm2. Older age, female sex, increased LVOT diameter, aortic valve Vmax and Doppler index were associated with reduced relative measurement error, whereas height, end-systolic and end-diastolic volumes were associated with an increased relative measurement error. Our predicted AVA model had a strong correlation (r=0.82; p<0.001) with CT-based hybrid AVA values which was validated in 448 patients showing similar accuracy (r=0.85; p<0.001). Conclusion Echocardiography significantly underestimates the LVOT area compared to CT, leading to the reclassification of nearly one-third of patients. Our provided model using clinical and echocardiography-based parameters may support CT-free estimation of hybrid AVA values.
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Dénes et al. (2026) conducted an observational in Severe aortic stenosis (n=1,815). Clinical and echocardiographic model vs. CT-based hybrid AVA was evaluated on Correlation between predicted AVA model and CT-based hybrid AVA values (r=0.85, p=<0.001). A clinical and echocardiographic model strongly correlated with CT-based hybrid aortic valve area values (r=0.85; p<0.001 in validation), potentially supporting CT-free estimation in severe AS.
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