Key result
CT-derived correction of TTE LVOT reclassifies up to ~68% of discordant severe AS to moderate.
Why the study?
Given inherent inaccuracies from assuming the LVOT is circular, the study aimed to improve the accuracy of TTE-based AVA calculation using a MDCTA-derived correction factor and validate it in AS patients.
Does a CT-derived correction factor improve the accuracy of TTE-based aortic valve area calculation in patients with aortic stenosis?
Observational (n=803)
Does a CT-derived correction factor improve the accuracy of TTE-based aortic valve area calculation in patients with aortic stenosis?
Applying a CT-derived correction factor of 1.13 to TTE measurements improves the accuracy of aortic valve area calculations and significantly reclassifies discordant severe aortic stenosis to moderate.
AIMS: Given the inherent inaccuracies stemming from the assumption that the left ventricular outflow tract (LVOT) is circular, this study aimed to improve the accuracy of transthoracic echocardiography (TTE)-based aortic valve area (AVA) calculation using continuity equation (CE) by introducing a correction factor (CF) derived from multidetector computed tomography angiography (MDCTA) images and validate it in aortic stenosis (AS) patients. METHODS AND RESULTS: This retrospective study used MDCTA images of 400 patients for modeling and 403 TTE dataset for validation. Echocardiographic parasternal long-axis view was modeled using MDCTA, and LVOT diameter (D1) was measured. Direct planimetry of LVOT area was performed and subsequently converted into a theoretical circle. The assumed circle (D2) diameter was derived, and D2/D1 was calculated and termed as the CF. The CF was 1.13, and it improved the agreement between MDCTA- and TTE-derived LVOT areas and correlation between AVA and peak velocity, mean pressure gradient, and velocity ratio. In discordant subgroups of severe AS, the CF reclassified patients to moderate AS in 40% in the low flow (LF), low gradient (LG), and low ejection fraction (EF) group; 53% in the LF, LG, and normal EF group; and 68% in the LF, high gradient, and normal EF group. CONCLUSIONS: CF of 1.13 derived from MDCTA improved the accuracy of TTE-derived LVOT area and AVA and improved correlation with hemodynamic variables in AS patients. Reclassification of AS patients using CF may have clinical applicability for patient selection for early intervention.
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Alskaf et al. (2020) conducted an observational in Aortic stenosis (n=803). Computed tomography-derived correction factor (CF) of 1.13 vs. Standard TTE-based calculation was evaluated on Agreement between MDCTA- and TTE-derived LVOT areas and correlation with hemodynamic variables. Applying a CT-derived correction factor of 1.13 to TTE-based LVOT measurements improved accuracy and reclassified 40-68% of patients with discordant severe aortic stenosis to moderate disease.
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