The role of epicardial fat radiomic profiles for atrial fibrillation identification and recurrence risk with coronary CT angiography

Author:

Wu Jingping12,Li Yuwei3,Wu Dan3,Schoepf Uwe-Joseph4,Zhao Pengfei5,Goller Markus6,Li Junhuan5,Tian Jinwen7,Shen Mingzhi7,Cao Kunlin5,Yang Li8,Zhang Fan12ORCID

Affiliation:

1. Department of Radiology, Hainan Hospital of PLA General Hospital , 572000 Sanya, China

2. The Second School of Clinical Medicine, Southern Medical University , 510145 Guangzhou, China

3. Nanzheng Intelligent Technology Corporation , 518000 Shenzhen, China

4. Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina , 29425 Charleston, SC, United States

5. Shenzhen Keya Medical Technology Corporation , 518000 Shenzhen, China

6. Department of Cardiology, Friedrich-Alexander Universität Erlangen-Nürnberg , 91056 Erlangen, Germany

7. Department of Cardiology, Hainan Hospital of PLA General Hospital , 572000 Sanya, China

8. Department of Radiology, The Second Medical Center of PLA General Hospital , 100089 Beijing, China

Abstract

Abstract Objectives Fat radiomic profile (FRP) was a promising imaging biomarker for identifying increased cardiac risk. We hypothesize FRP can be extended to fat regions around pulmonary veins (PV), left atrium (LA), and left atrial appendage (LAA) to investigate their usefulness in identifying atrial fibrillation (AF) and the risk of AF recurrence. Methods We analysed 300 individuals and grouped patients according to the occurrence and types of AF. We used receiver operating characteristic and survival curves analyses to evaluate the value of imaging biomarkers, including fat attenuation index (FAI) and FRP, in distinguishing AF from sinus rhythm and predicting post-ablation recurrence. Results FRPs from AF-relevant fat regions showed significant performance in distinguishing AF and non-AF with higher AUC values than FAI (peri-PV: FRP = 0.961 vs FAI = 0.579, peri-LA: FRP = 0.923 vs FAI = 0.575, peri-LAA: FRP = 0.900 vs FAI = 0.665). FRPs from peri-PV, peri-LA, and peri-LAA were able to differentiate persistent and paroxysmal AF with AUC values of 0.804, 0.819, and 0.694. FRP from these regions improved AF recurrence prediction with an AUC of 0.929, 0.732, and 0.794. Patients with FRP cut-off values of ≥0.16, 0.38, and 0.26 had a 7.22-, 5.15-, and 4.25-fold higher risk of post-procedure recurrence, respectively. Conclusions FRP demonstrated potential in identifying AF, distinguishing AF types, and predicting AF recurrence risk after ablation. FRP from peri-PV fat depot exhibited a strong correlation with AF. Therefore, evaluating epicardial fat using FRP was a promising approach to enhance AF clinical management. Advances in knowledge The role of epicardial adipose tissue (EAT) in AF had been confirmed, we focussed on the relationship between EAT around pulmonary arteries and LAA in AF which was still unknown. Meanwhile, we used the FRP to excavate more information of EAT in AF.

Funder

Key R&D program of Hainan Province

Shenzhen Science and Technology Program

Publisher

Oxford University Press (OUP)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

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