Validation of left atrial volume correction for single plane method on four-chamber cine cardiac MRI

Assadi, Hosamadin ORCID: https://orcid.org/0000-0002-6143-8095, Sawh, Nicholas, Bailey, Ciara, Matthews, Gareth ORCID: https://orcid.org/0000-0001-8353-4806, Li, Rui, Grafton-Clarke, Ciaran ORCID: https://orcid.org/0000-0002-8537-0806, Mehmood, Zia, Kasmai, Bahman, Swoboda, Peter P., Swift, Andrew J., van der Geest, Rob J. and Garg, Pankaj ORCID: https://orcid.org/0000-0002-5483-169X (2024) Validation of left atrial volume correction for single plane method on four-chamber cine cardiac MRI. Tomography, 10 (4). pp. 459-470. ISSN 2379-1381

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Abstract

Background: Left atrial (LA) assessment is an important marker of adverse cardiovascular outcomes. Cardiovascular magnetic resonance (CMR) accurately quantifies LA volume and function based on biplane long-axis imaging. We aimed to validate single-plane-derived LA indices against the biplane method to simplify the post-processing of cine CMR. Methods: In this study, 100 patients from Leeds Teaching Hospitals were used as the derivation cohort. Bias correction for the single plane method was applied and subsequently validated in 79 subjects. Results: There were significant differences between the biplane and single plane mean LA maximum and minimum volumes and LA ejection fraction (EF) (all p < 0.01). After correcting for biases in the validation cohort, significant correlations in all LA indices were observed (0.89 to 0.98). The area under the curve (AUC) for the single plane to predict biplane cutoffs of LA maximum volume ≥ 112 mL was 0.97, LA minimum volume ≥ 44 mL was 0.99, LA stroke volume (SV) ≤ 21 mL was 1, and LA EF ≤ 46% was 1, (all p < 0.001). Conclusions: LA volumetric and functional assessment by the single plane method has a systematic bias compared to the biplane method. After bias correction, single plane LA volume and function are comparable to the biplane method.

Item Type: Article
Additional Information: Data Availability Statement: The datasets generated and analyzed during the current study are not publicly available. Access to the raw images of patients is not permitted since specialized post-processing imaging-based solutions can identify the study patients in the future. Data are available from the corresponding author upon reasonable request. Funding information: P.G. is funded by Wellcome Trust Clinical Research Career Development Fellowships (220703/Z/20/Z). For the purpose of Open Access, these authors have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission. The funders had no role in study design, data collection and analysis, publishing decisions, or manuscript preparation.
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Depositing User: LivePure Connector
Date Deposited: 27 Mar 2024 09:30
Last Modified: 31 Mar 2024 06:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/94773
DOI: 10.3390/tomography10040035

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