Leng, Shuang
Tan, Ru-San
Zhao, Xiaodan
Allen, John C.
Koh, Angela S.
Zhong, Liang http://orcid.org/0000-0003-3608-4173
Funding for this research was provided by:
National Medical Research Council Singapore (NMRC/OFIRG/0018/2016; NMRC/BnB/0017/2015; MOH-000358, NMRC/TA/0031/2015, MOH-000153)
SingHealth Duke-NUS Academic Medicine Research Grant (AM/TP015/2018 (SRDUKAMR1814))
National Medical Research Council Singapore (MOH-000351)
Article History
Received: 22 October 2019
Revised: 7 February 2020
Accepted: 12 February 2020
First Online: 27 February 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Liang Zhong.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise (John C. Allen, statistician, Duke-NUS Medical School, Singapore).
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained.
: Study subjects or cohorts have been reported in a previously published paper (Leng S et al Validation of a rapid semi-automated method to assess left atrial longitudinal phasic strains on cine cardiovascular magnetic resonance imaging. <i>J Cardiovasc Magn Reson</i> 2018;20:71). However, the prior report focused on the left atrial function assessment. The current study investigated the left ventricular function assessed by a fast method compared to conventional feature tracking and manual approaches.
: • Prospective• Diagnostic or prognostic study• Performed at one institution