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Published on: August 28, 2018
Epicardial fat density obtained with computed tomography imaging - more important than volume?
Łukasz Nogajski1,2, Maciej Mazuruk1,2, Marta Kacperska1,2
1Department of Clinical Physiology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Epicardial adipose tissue (EAT), visualized by computed tomography fat attenuation index (FAI), shows promise for diagnosing and predicting cardiovascular diseases like coronary artery disease and atrial fibrillation.
Area of Science:
- Cardiology
- Radiology
- Biomedical Imaging
Background:
- Epicardial adipose tissue (EAT) is a distinct fat depot surrounding the heart, interacting closely with cardiac structures.
- EAT includes pericoronary (PCAT), periatrial (PAAT), and periventricular (PVentAT) depots, each with unique properties.
- EAT volume and density are measurable via computed tomography (CT).
Purpose of the Study:
- To review the utility of CT-derived fat attenuation index (FAI) for assessing EAT.
- To explore FAI's potential as a diagnostic and prognostic marker in cardiovascular disorders.
- To highlight FAI's emerging role in understanding EAT and its clinical implications.
Main Methods:
- Utilizing computed tomography (CT) imaging to quantify EAT volume and density.
- Analyzing the fat attenuation index (FAI) as a measure of EAT characteristics, including inflammation and fibrosis.
- Reviewing current literature on FAI's association with cardiovascular conditions.
Main Results:
- FAI reflects inflammation and fibrosis in PCAT and PAAT, with less known relevance for PVentAT.
- Emerging data suggests FAI is a valuable tool for diagnosing and predicting coronary artery disease and atrial fibrillation.
- FAI may serve as a future marker for therapeutic efficacy and ventricular pathologies.
Conclusions:
- CT-derived FAI is a significant tool for studying epicardial adipose tissue.
- FAI shows potential as a predictive marker for various cardiovascular disorders.
- Further research is needed to fully establish FAI's clinical utility, especially for PVentAT and therapeutic monitoring.
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