Document is current
Any future updates will be listed below
-
Authors
Wang, Jiaxin
Ma, Xuan
Zhao, Kankan
Yang, Shujuan
Yang, Kai
Yu, Shiqin
Yin, Gang
Dong, Zhixiang
Song, Yanyan
Cui, Chen
Li, Jinghui
Zhao, Shihua https://orcid.org/0000-0003-1339-7476
Chen, Xiuyu
-
Funding
Funding for this research was provided by:
National Key R&D Program of China (Nos. 2021YFF0501400, 2021YFF0501404)
Key Project of National Natural Science Foundation of China (No. 81930044)
China International Medical Foundation (No. Z-2014-07-2101)
- License Information
-
More Information
Article History
Received: 16 May 2023
Revised: 14 June 2023
Accepted: 4 July 2023
First Online: 28 August 2023
Declarations
:
: The scientific guarantor of this publication is Shihua Zhao.
: 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.
: No complex statistical methods were necessary for this paper.
: All patients provided written informed consent.
: This retrospective study was approved by the ethics committee of Fuwai Hospital.
: The cohort in this study was overlapped with a previous publication (number of patients: 105): Zhou et al., Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images. Eur Radiol. 2021 Jun;31(6):3931–3940. .This study investigates the association between left atrial myopathy and sarcomere mutation in patients with hypertrophic cardiomyopathy using left atrial strain by MRI, which was not investigated by the previous publication.
: • Retrospective• Observational• Performed at one institution
