Early cardiac involvement in patients with hyperthyroidism evaluated by cardiac magnetic resonance feature tracking

The LA strain reliably differentiates early cardiac involvement between patients with hyperthyroidism and healthy controls, whereas volumetric parameters and ventricular myocardial strain fail to do so.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-06-02
DOI
https://doi.org/10.3389/fendo.2025.1566029
Citations
2
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
2.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early cardiac involvement in patients with hyperthyroidism evaluated by cardiac magnetic resonance feature tracking

Lei Zhang, Renbin Ge, Yi Zhang, Xiance Zhao et al.
2 citations
Frontiers in Endocrinology
Cardiac Imaging and Diagnostics
2.72
article

Early cardiac involvement in patients with hyperthyroidism evaluated by cardiac magnetic resonance feature tracking

Lei Zhang, Renbin Ge, Yi Zhang, Xiance Zhao, Xing Xing, Ying Jia, Qian Luo, Fang Liu
article en
2 citations

Abstract

The LA strain reliably differentiates early cardiac involvement between patients with hyperthyroidism and healthy controls, whereas volumetric parameters and ventricular myocardial strain fail to do so.

Frontiers in EndocrinologyVol. 16
Philips (Finland) (FI), Shanghai Jiao Tong University (CN), Anhui Medical University (CN), Philips (China) (CN), Shanghai First People's Hospital (CN)
Openalex Percentile: Top 10%
Cardiac Imaging and Diagnostics
2.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.