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Grafton-Clarke, Ciaran 
ORCID: https://orcid.org/0000-0002-8537-0806, Njoku, Paul, Aben, Jean-Paul, Ledoux, Leon, Zhong, Liang, Westenberg, Jos, Swift, Andrew, Archer, Gareth, Wild, James, Hose, Rod, Flather, Marcus, Vassiliou, Vassilios S. ORCID: https://orcid.org/0000-0002-4005-7752 and Garg, Pankaj ORCID: https://orcid.org/0000-0002-5483-169X
(2022)
Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline.
BMC Research Notes, 15.
ISSN 1756-0500
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Abstract
Objective: Doppler echocardiographic aortic valve peak velocity and peak pressure gradient assessment across the aortic valve (AV) is the mainstay for diagnosing aortic stenosis. Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) is emerging as a valuable diagnostic tool for estimating the peak pressure drop across the aortic valve, but assessment remains cumbersome. We aimed to validate a novel semi-automated pipeline 4D flow CMR method of assessing peak aortic value pressure gradient (AVPG) using the commercially available software solution, CAAS MR Solutions, against invasive angiographic methods. Results: We enrolled 11 patients with severe AS on echocardiography from the EurValve programme. All patients had pre-intervention doppler echocardiography, invasive cardiac catheterisation with peak pressure drop assessment across the AV and 4D flow CMR. The peak AVPG was 51.9 ± 35.2 mmHg using the invasive pressure drop method and 52.2 ± 29.2 mmHg for the 4D flow CMR method (semi-automated pipeline), with good correlation between the two methods (r = 0.70, p = 0.017). Assessment of AVPG by 4D flow CMR using the novel semi-automated pipeline method shows excellent agreement to invasive assessment when compared to doppler-based methods and advocate for its use as complementary to echocardiography.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This work was partly funded by Wellcome Trust grants (220703/Z/20/Z and 215799/Z/19/Z). Rights retention statement: For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. |
| Uncontrolled Keywords: | aortic stenosis,cardiac mri,validation,biochemistry, genetics and molecular biology(all) ,/dk/atira/pure/subjectarea/asjc/1300 |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Sep 2022 14:30 |
| Last Modified: | 09 Dec 2024 01:35 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/87847 |
| DOI: | 10.1186/s13104-022-06033-z |
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