Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium
Publication date
2024-07
Authors
Raisi-Estabragh, Zahra
Szabo, Liliana
McCracken, Celeste
Bülow, Robin
Aquaro, Giovanni Donato
Andre, Florian
Le, Thu Thao
Suchá, D.
Condurache, Dorina Gabriela
Salih, Ahmed M.
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Advisors
Supervisors
Document Type
Article
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Abstract
Background: The absence of population-stratified cardiovascular magnetic resonance (CMR) reference ranges from large cohorts is a major shortcoming for clinical care. Objectives: This paper provides age-, sex-, and ethnicity-specific CMR reference ranges for atrial and ventricular metrics from the Healthy Hearts Consortium, an international collaborative comprising 9,088 CMR studies from verified healthy individuals, covering the complete adult age spectrum across both sexes, and with the highest ethnic diversity reported to date. Methods: CMR studies were analyzed using certified software with batch processing capability (cvi42, version 5.14 prototype, Circle Cardiovascular Imaging) by 2 expert readers. Three segmentation methods (smooth, papillary, anatomic) were used to contour the endocardial and epicardial borders of the ventricles and atria from long- and short-axis cine series. Clinically established ventricular and atrial metrics were extracted and stratified by age, sex, and ethnicity. Variations by segmentation method, scanner vendor, and magnet strength were examined. Reference ranges are reported as 95% prediction intervals. Results: The sample included 4,452 (49.0%) men and 4,636 (51.0%) women with average age of 61.1 ± 12.9 years (range: 18-83 years). Among these, 7,424 (81.7%) were from White, 510 (5.6%) South Asian, 478 (5.3%) mixed/other, 341 (3.7%) Black, and 335 (3.7%) Chinese ethnicities. Images were acquired using 1.5-T (n = 8,779; 96.6%) and 3.0-T (n = 309; 3.4%) scanners from Siemens (n = 8,299; 91.3%), Philips (n = 498; 5.5%), and GE (n = 291, 3.2%). Conclusions: This work represents a resource with healthy CMR-derived volumetric reference ranges ready for clinical implementation.
Keywords
artificial intelligence, automated analysis, cardiovascular magnetic resonance, ethnicity, healthy reference ranges, sex differences, Radiology Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Citation
Raisi-Estabragh, Z, Szabo, L, McCracken, C, Bülow, R, Aquaro, G D, Andre, F, Le, T T, Suchá, D, Condurache, D G, Salih, A M, Chadalavada, S, Aung, N, Lee, A M, Harvey, N C, Leiner, T, Chin, C W L, Friedrich, M G, Barison, A, Dörr, M & Petersen, S E 2024, 'Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium', JACC: Cardiovascular Imaging, vol. 17, no. 7, pp. 746-762. https://doi.org/10.1016/j.jcmg.2024.01.009