Grafton-Clarke, C., Assadi, H., Li, R. orcid.org/0000-0003-0006-818X et al. (20 more authors) (2025) Four-dimensional flow provides incremental diagnostic value over echocardiography in aortic stenosis. Open Heart, 12 (1). e003081. ISSN 2398-595X
Abstract
Aims
Four-dimensional flow cardiovascular MRI (4D flow CMR) has emerged as a promising technique for assessing aortic stenosis (AS). This study aimed to evaluate the agreement between 4D flow CMR and transthoracic echocardiography (TTE) in estimating peak aortic valve (AV) velocities (VPeak), grading AS severity and predicting AV intervention in a real-world setting.
Methods
Participants from the PREFER-CMR registry who had consecutive TTE and 4D flow CMR were included. AS severity was graded using established protocols using three echocardiographic parameters (VPeak, AV area and mean pressure gradient) and CMR-derived VPeak.
Results
The study recruited 30 patients (mean age 75.4 years, 67% male), with 17 undergoing AV intervention. Continuous wave Doppler (CWD) VPeak (3.4 vs 2.6 m/s, p=0.0025) and 4D flow VPeak (4.2 vs 2.7 m/s, p<0.0001) were significantly higher in patients going for AV intervention. VPeak by CWD was significantly lower to 4D flow with a bias of −0.5 (p=0.01) and a correlation of (R=0.55, p=0.002). The Cox-regression analysis reveals that 4D flow VPeak significantly predicts AV intervention (HR=2.51, p<0.01), while CWD VPeak (HR=0.54, p=0.76) shows no significant association; overall model fit is significant (χ²=9.5, p=0.02).
Conclusion
4D flow CMR-derived VPeak assessment is superior to echocardiographic CWD assessment for predicting timing of AV intervention.
Trial registration number
NCT05114785.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2025. Re- use permitted under CC BY - https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Biomedical and Clinical Sciences; Cardiovascular Medicine and Haematology; Clinical Research; Cardiovascular; Biomedical Imaging; Evaluation of markers and technologies; Cardiovascular |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Funding Information: | Funder Grant number WELLCOME TRUST (THE) 205188/Z/16/Z |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 May 2025 14:08 |
Last Modified: | 12 May 2025 14:08 |
Status: | Published |
Publisher: | BMJ |
Refereed: | Yes |
Identification Number: | 10.1136/openhrt-2024-003081 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:226544 |