Please use this identifier to cite or link to this item: https://doi.org/10.1186/s12968-017-0322-1
Title: Assessing exercise cardiac reserve using real-time cardiovascular magnetic resonance
Authors: Le T.-T.
Bryant J.A.
Ting A.E.
Ho P.Y.
Su B.
Teo R.C.C.
Gan J.S.-J.
Chung Y.-C.
O’Regan D.P.
Cook S.A. 
Chin C.W.-L.
Keywords: Cardiopulmonary exercise test
Cardiovascular magnetic resonance
Exercise physiology
Supine bike ergometer
Issue Date: 2017
Publisher: BioMed Central Ltd.
Citation: Le T.-T., Bryant J.A., Ting A.E., Ho P.Y., Su B., Teo R.C.C., Gan J.S.-J., Chung Y.-C., O’Regan D.P., Cook S.A., Chin C.W.-L. (2017). Assessing exercise cardiac reserve using real-time cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 19 (1) : 1-10. ScholarBank@NUS Repository. https://doi.org/10.1186/s12968-017-0322-1
Abstract: Background: Exercise cardiovascular magnetic resonance (ExCMR) has great potential for clinical use but its development has been limited by a lack of compatible equipment and robust real-time imaging techniques. We developed an exCMR protocol using an in-scanner cycle ergometer and assessed its performance in differentiating athletes from non-athletes. Methods: Free-breathing real-time CMR (1.5T Aera, Siemens) was performed in 11 athletes (5 males; median age 29 [IQR: 28-39] years) and 16 age- and sex-matched healthy volunteers (7 males; median age 26 [interquartile range (IQR): 25-33] years). All participants underwent an in-scanner exercise protocol on a CMR compatible cycle ergometer (Lode BV, the Netherlands), with an initial workload of 25W followed by 25W-increment every minute. In 20 individuals, exercise capacity was also evaluated by cardiopulmonary exercise test (CPET). Scan-rescan reproducibility was assessed in 10 individuals, at least 7 days apart. Results: The exCMR protocol demonstrated excellent scan-rescan (cardiac index (CI): 0.2 ± 0.5L/min/m2) and inter-observer (ventricular volumes: 1.2 ± 5.3mL) reproducibility. CI derived from exCMR and CPET had excellent correlation (r = 0.83, p < 0.001) and agreement (1.7 ± 1.8L/min/m2). Despite similar values at rest (P = 0.87), athletes had increased exercise CI compared to healthy individuals (at peak exercise: 12.2 [IQR: 10.2-13.5] L/min/m2 versus 8.9 [IQR: 7.5-10.1] L/min/m2, respectively; P < 0.001). Peak exercise CI, where image acquisition lasted 13-17 s, outperformed that at rest (c-statistics = 0.95 [95% confidence interval: 0.87-1.00] versus 0.48 [95% confidence interval: 0.23-0.72], respectively; P < 0.0001 for comparison) in differentiating athletes from healthy volunteers; and had similar performance as VO2max (c-statistics = 0.84 [95% confidence interval = 0.62-1.00]; P = 0.29 for comparison). Conclusions: We have developed a novel in-scanner exCMR protocol using real-time CMR that is highly reproducible. It may now be developed for clinical use for physiological studies of the heart and circulation. © 2017 The Author(s).
Source Title: Journal of Cardiovascular Magnetic Resonance
URI: http://scholarbank.nus.edu.sg/handle/10635/150639
ISSN: 10976647
DOI: 10.1186/s12968-017-0322-1
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