Journal: CJC Open
Article Title: Prediction of Atrial Fibrillation Using Radiomic Features of Left Atrial Epicardial Adipose Tissue on Noncontrast Cardiac Computed Tomography
doi: 10.1016/j.cjco.2025.03.024
Figure Lengend Snippet: Flow process of left atrium epicardial adipose tissue (LA-EAT) segmentation using syngo.via Frontier (Siemens Healthineers, Forchheim, Germany). The left atrium (LA) is visible in all panels. ( A ) Sagittal cardiac computed tomography view with epicardial adipose tissue (EAT) automatically detected in red using the cardiac risk analysis tool. ( B ) Green mask from ( A ) imported into the radiomic tool. ( C ) Yellow representation of EAT detected using a –150 to –50 HU threshold within the mask borders from (B). (D, E ) Blue landmarks segmenting the area of interest around the LA: ( D ) superior border marked by the main pulmonary artery (MPA), and ( E ) inferior border marked by the coronary sinus (CS). ( F ) Depiction of the adipose tissue segmented around the LA post-previous steps ( yellow ).
Article Snippet: Detection of the cardiac total EAT was performed fully automatically using the cardiac risk analysis tool (syngo.via Frontier, Siemens Healthineers).
Techniques: Computed Tomography