Imperial College London
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ProfessorDeclanO'Regan

Faculty of Medicine, Institute of Clinical Sciences

Professor of Imaging Sciences
 
 
 
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Contact

 

+44 (0)20 3313 1510declan.oregan

 
 
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Location

 

Imaging Sciences DepartmentHammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Le:2017:10.1186/s12968-017-0322-1,
author = {Le, T-T and Bryant, JA and Ting, AE and Ho, PY and Su, B and Teo, RCC and Gan, JS-J and Chung, Y-C and O'Regan, DP and Cook, SA and Chin, CW-L},
doi = {10.1186/s12968-017-0322-1},
journal = {Journal of Cardiovascular Magnetic Resonance},
title = {Assessing exercise cardiac reserve using real-time cardiovascular magnetic resonance},
url = {http://dx.doi.org/10.1186/s12968-017-0322-1},
volume = {19},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundExercise 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.MethodsFree-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.ResultsThe 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).ConclusionsWe have developed a nov
AU  - Le,T-T
AU  - Bryant,JA
AU  - Ting,AE
AU  - Ho,PY
AU  - Su,B
AU  - Teo,RCC
AU  - Gan,JS-J
AU  - Chung,Y-C
AU  - O'Regan,DP
AU  - Cook,SA
AU  - Chin,CW-L
DO  - 10.1186/s12968-017-0322-1
PY  - 2017///
SN  - 1532-429X
TI  - Assessing exercise cardiac reserve using real-time cardiovascular magnetic resonance
T2  - Journal of Cardiovascular Magnetic Resonance
UR  - http://dx.doi.org/10.1186/s12968-017-0322-1
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392669800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/44773
VL  - 19
ER  -
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