Novel echocardiography-based algorithms to identify severe aortic or mitral regurgitation by cardiac magnetic resonance imaging: a prospective multi-modality imaging study
| Autor: | T K M Wang, R A Grimm, Z B Popovic, L L Rodriguez, M A Bolen, N Chann, L A Moennich, K Rutkowski, B P Griffin, S D Flamm, D H Kwon |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | European Heart Journal. 43 |
| ISSN: | 1522-9645 0195-668X |
| Popis: | Background Magnetic resonance imaging (MRI) has shown incremental prognostic value to transthoracic echocardiography (TTE) for valve diseases, however TTE remains more widely available and utilized. We sought to develop TTE-based algorithms that best identify severe AR and MR by MRI in a prospective study. Methods Patients with >moderate-to-severe AR (n=101) and MR (n=71) undergoing both TTE and CMR within 3-months (median 1 day) were prospectively studied. Correlation analyses were performed, and TTE-based decision tree regression algorithms were derived to best identify CMR-defined severe AR and MR (regurgitant fraction >40% and >33% respectively). Results Mean regurgitant volumes/fractions by TTE were 15 mL/18% and 13mL/18% higher than CMR in AR and MR respectively. Decision-tree analyses found regurgitant volume >50 mL and left ventricular end-systolic volume indexed >38 mL/m2 by TTE to best identify CMR-derived severe AR, and regurgitant fraction >50% and left ventricular stroke volume indexed >39 mL/m2 by TTE to best identify CMR-derived severe MR (Figure 1). Their areas under curve compared with current guidelines criteria were 0.75 versus 0.63 (P=0.038) for severe AR, and 0.80 versus 0.67 (P=0.017) for severe MR. Conclusion Novel TTE-based algorithms were devised to identify severe MRI-derived AR and MR, superior to the more complex multi-parametric criteria of current TTE guidelines. Funding Acknowledgement Type of funding sources: None. |
| Databáze: | OpenAIRE |
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