TY - JOUR
T1 - Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium
AU - Raisi-Estabragh, Zahra
AU - Szabo, Liliana
AU - McCracken, Celeste
AU - Bülow, Robin
AU - Aquaro, Giovanni Donato
AU - Andre, Florian
AU - Le, Thu Thao
AU - Suchá, Dominika
AU - Condurache, Dorina Gabriela
AU - Salih, Ahmed M.
AU - Chadalavada, Sucharitha
AU - Aung, Nay
AU - Lee, Aaron Mark
AU - Harvey, Nicholas C.
AU - Leiner, Tim
AU - Chin, Calvin W.L.
AU - Friedrich, Matthias G.
AU - Barison, Andrea
AU - Dörr, Marcus
AU - Petersen, Steffen E.
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/7
Y1 - 2024/7
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - automated analysis
KW - cardiovascular magnetic resonance
KW - ethnicity
KW - healthy reference ranges
KW - sex differences
UR - http://www.scopus.com/inward/record.url?scp=85191483778&partnerID=8YFLogxK
U2 - 10.1016/j.jcmg.2024.01.009
DO - 10.1016/j.jcmg.2024.01.009
M3 - Article
C2 - 38613554
AN - SCOPUS:85191483778
SN - 1936-878X
VL - 17
SP - 746
EP - 762
JO - JACC: Cardiovascular Imaging
JF - JACC: Cardiovascular Imaging
IS - 7
ER -