Abstract

Abstract Introduction Known predictors of poor outcome in aortic valve stenosis patients include older age, significant valvular calcification, rapid hemodynamic progression and impaired left ventricular (LV) systolic function. LV global longitudinal strain (GLS) quantifies myocardial deformation and LV function and is associated with prognosis in patients with severe aortic stenosis (AS). Multi-detector row computed tomography (MDCT) data are key in the evaluation of patients undergoing transcatheter aortic valve implantation (TAVI) and when acquired throughout the entire cardiac cycle, LV systolic function can be assessed. Novel software can assess LV GLS from MDCT-data. Purpose The present study aimed at assessing the feasibility of determining novel MDCT-derived LV GLS as well as MDCT-derived LV ejection fraction (EF) and their agreement with echocardiographic LV GLS and LVEF in patients treated with TAVI. Methods LVEF and LV GLS were measured on echocardiography and dynamic MDCT using novel CT-software. Agreement between the measurements of two different modalities was assessed using Bland-Altman analysis. Results A total 214 patients (51% male, mean age: 80±7 years) were analysed retrospectively. Mean value of LV GLS on echocardiography was −14±4% whereas mean MDCT-derived GLS was −12.5±4%. Mean value of LVEF on echocardiography was 47±10% and mean MDCT-derived LVEF was 39±11%. On Bland-Altman analysis, MDCT-derived strain analysis underestimated LV GLS compared to echocardiography with a mean difference of 1.44% (95% limits of agreement −3.8 to 6.7%). LVEF was also underestimated on CT with a mean difference of 7.68% (95% limits of agreement −11.5% to −26%). Correlation of measurements between MDCT-derived LV GLS and echocardiographic LV GLS was significant (r=0.791, p<0.001), as well as the correlation between MDCT-derived LVEF and echocardiographic LVEF (r=0.590, p<0.001) (Figure). Conclusions Assessment of LV GLS and LVEF on dynamic MDCT data provides similar values to those obtained with echocardiography and could be used in the risk-stratification of severe AS patients undergoing TAVI.

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