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Aortic stenosis assessment from the 3-chamber cine: Ratio of balanced steady-state-free-precession (bSSFP) blood signal between the aorta and left ventricle predicts severity.
- Source :
-
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2024 Summer; Vol. 26 (1), pp. 100005. Date of Electronic Publication: 2024 Jan 09. - Publication Year :
- 2024
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Abstract
- Background: Cardiovascular magnetic resonance (CMR) imaging is an important tool for evaluating the severity of aortic stenosis (AS), co-existing aortic disease, and concurrent myocardial abnormalities. Acquiring this additional information requires protocol adaptations and additional scanner time, but is not necessary for the majority of patients who do not have AS. We observed that the relative signal intensity of blood in the ascending aorta on a balanced steady state free precession (bSSFP) 3-chamber cine was often reduced in those with significant aortic stenosis. We investigated whether this effect could be quantified and used to predict AS severity in comparison to existing gold-standard measurements.<br />Methods: Multi-centre, multi-vendor retrospective analysis of patients with AS undergoing CMR and transthoracic echocardiography (TTE). Blood signal intensity was measured in a ∼1 cm <superscript>2</superscript> region of interest (ROI) in the aorta and left ventricle (LV) in the 3-chamber bSSFP cine. Because signal intensity varied across patients and scanner vendors, a ratio of the mean signal intensity in the aorta ROI to the LV ROI (Ao:LV) was used. This ratio was compared using Pearson correlations against TTE parameters of AS severity: aortic valve peak velocity, mean pressure gradient and the dimensionless index. The study also assessed whether field strength (1.5 T vs. 3 T) and patient characteristics (presence of bicuspid aortic valves (BAV), dilated aortic root and low flow states) altered this signal relationship.<br />Results: 314 patients (median age 69 [IQR 57-77], 64% male) who had undergone both CMR and TTE were studied; 84 had severe AS, 78 had moderate AS, 66 had mild AS and 86 without AS were studied as a comparator group. The median time between CMR and TTE was 12 weeks (IQR 4-26). The Ao:LV ratio at 1.5 T strongly correlated with peak velocity (r = -0.796, p = 0.001), peak gradient (r = -0.772, p = 0.001) and dimensionless index (r = 0.743, p = 0.001). An Ao:LV ratio of < 0.86 was 84% sensitive and 82% specific for detecting AS of any severity and a ratio of 0.58 was 83% sensitive and 92% specific for severe AS. The ability of Ao:LV ratio to predict AS severity remained for patients with bicuspid aortic valves, dilated aortic root or low indexed stroke volume. The relationship between Ao:LV ratio and AS severity was weaker at 3 T.<br />Conclusions: The Ao:LV ratio, derived from bSSFP 3-chamber cine images, shows a good correlation with existing measures of AS severity. It demonstrates utility at 1.5 T and offers an easily calculable metric that can be used at the time of scanning or automated to identify on an adaptive basis which patients benefit from dedicated imaging to assess which patients should have additional sequences to assess AS.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Female
Male
Retrospective Studies
Aged
Middle Aged
Reproducibility of Results
Aorta diagnostic imaging
Aorta physiopathology
Image Interpretation, Computer-Assisted
Heart Ventricles diagnostic imaging
Heart Ventricles physiopathology
Regional Blood Flow
United States
Aortic Valve Stenosis diagnostic imaging
Aortic Valve Stenosis physiopathology
Magnetic Resonance Imaging, Cine
Predictive Value of Tests
Severity of Illness Index
Ventricular Function, Left
Aortic Valve diagnostic imaging
Aortic Valve physiopathology
Aortic Valve pathology
Aortic Valve abnormalities
Subjects
Details
- Language :
- English
- ISSN :
- 1532-429X
- Volume :
- 26
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
- Publication Type :
- Academic Journal
- Accession number :
- 38211656
- Full Text :
- https://doi.org/10.1016/j.jocmr.2023.100005