AI Cure is a research tool showing open data. Not medical advice. Discuss with your doctor. Terms
This study seeks to develop improved cardiac MRI (CMR) methods to quantify epicardial adipose tissue (EAT) composition and to demonstrate the advantages of EAT composition imaging (a) in advancing the understanding of the relationship between EAT and heart failure with preserved ejection fraction (HFpEF) and (b) for understanding mechanisms of and guiding medical therapy in HFpEF. The investigators recently developed the first method for quantifying EAT FAC in human subjects, utilizing a rate-6 accelerated radial 2D multi-echo gradient-echo breathhold acquisition with a local low rank reconstruction. In this project the first specific aim is to develop a rapid free-breathing 3D EAT FAC MRI method that reduces motion-related artifacts, increases coverage, and facilitates higher spatial resolution and improved FAC reproducibility. The second specific aim is to show that EAT FAC is more str
Sign in to get the eligibility rules as simple questions to take to your doctor.
AI Cure shows public evidence (Open Targets, ClinicalTrials.gov, PubMed, openFDA, DepMap, AlphaFold) with its source, and AI summaries that cite it — not medical advice and not a cure. Treatment decisions belong with your doctor. Research ideas are shared only with approved researchers and labs, who can test them. In an emergency call your local emergency number (112 in India and Europe, 911 in the US). AI Cure Terms of Use · Privacy