| Title: | Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium |
| Journal: | JACC Cardiovascular Imaging |
| Published: | 10 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38613554/ |
| DOI: | https://doi.org/10.1016/j.jcmg.2024.01.009 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 10048
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
BACKGROUND: The absence of population-stratified cardiovascular magnetic resonance (CMR) reference ranges from large cohorts is a major shortcoming for clinical care.</p>
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.</p>
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.</p>
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%).</p>
CONCLUSIONS: This work represents a resource with healthy CMR-derived volumetric reference ranges ready for clinical implementation.</p>
20 Authors
- Zahra Raisi-Estabragh
- Liliana Szabo
- Celeste McCracken
- Robin Bülow
- Giovanni Donato Aquaro
- Florian Andre
- Thu-Thao Le
- Dominika Suchá
- Dorina-Gabriela Condurache
- Ahmed M Salih
- Sucharitha Chadalavada
- Nay Aung
- Aaron Mark Lee
- Nicholas C Harvey
- Tim Leiner
- Calvin W L Chin
- Matthias G Friedrich
- Andrea Barison
- Marcus Dörr
- Steffen E Petersen
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
Enabling scientific discoveries that improve human health