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Quantification of Significant Aortic Stenosis by Echocardiography versus Four-Dimensional Cardiac Computed Tomography: A Multi-Modality Imaging Study.

Authors :
Wang TKM
Abou Hassan OK
Popović ZB
Griffin BP
Rodriguez LL
Source :
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2022 Dec 09; Vol. 12 (12). Date of Electronic Publication: 2022 Dec 09.
Publication Year :
2022

Abstract

Transthoracic echocardiography (TTE) grading of aortic stenosis (AS) is challenging when parameters are discrepant, and four-dimensional cardiac computed tomography (4D-CCT) is increasingly utilized for transcatheter intervention workup. We compared TTE and 4D-CCT measures contributing to AS quantification. AS patients (n = 80, age 86 ± 10 years, 71% men) referred for transcatheter replacement in 2014−2017 were retrospectively studied, 20 each with high-gradient AS (HG-AS), classical and paradoxical low-flow low-gradient AS (CLFLG-AS and PLFLG-AS), and normal-flow low-gradient AS (NFLG-AS). Correlation and Bland−Altman analyses were performed between TTE and 4D-CCT parameters. There were moderate-to-high TTE versus 4D-CCT correlations for left ventricular volumes, function, mass, and outflow tract dimensions (r = 0.51−0.88), though values were mostly significantly higher by 4D-CCT (p < 0.001). Compared with 4D-CCT planimetry of aortic valve area (AVA), TTE estimates had modest correlation (r = 0.37−0.43) but were significantly lower (by 0.15−0.32 cm2). The 4D-CCT estimate of LVSVi lead to significant reclassification of AS subtype defined by TTE. In conclusion, 4D-CCT quantified values were higher than TTE for the left ventricle and AVA, and the AS subtype was reclassified based on LVSVi by 4D-CCT, warranting further research to establish its clinical implications and optimal thresholds in severe AS management.

Details

Language :
English
ISSN :
2075-4418
Volume :
12
Issue :
12
Database :
MEDLINE
Journal :
Diagnostics (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
36553113
Full Text :
https://doi.org/10.3390/diagnostics12123106