Abstract:
Purpose: Atrial fibrillation (AF) and coronary artery disease (CAD) share multiple risk factors. Comprehensive imaging evaluation before radiofrequency catheter ablation (RFCA) is beneficial for assessing overall cardiac condition and exploring the underlying causes of AF. This study aimed to evaluate the feasibility of using coronary computed tomography angiography (CCTA)-derived pulmonary vein CT (PVCT) images obtained via extended field-of-view (extDFOV) reconstruction to achieve single-scan imaging for both CCTA and PVCT, with the goal of reducing contrast agent dosage and radiation exposure while maintaining diagnostic image quality. Methods: A total of 44 CAD patients with AF scheduled for RFCA were prospectively enrolled, with 36 meeting the inclusion criteria. All patients underwent both CCTA and PVCT examinations: the experimental group (Group 1) used extDFOV reconstruction from CCTA images to derive PVCT images, while the control group (Group 2) underwent separate helical PVCT scans. Image quality, motion artifacts, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast agent dosage, and radiation dose were analyzed and compared between the two groups. Results: CCTA-derived PVCT images (Group 1) demonstrated superior image quality scores (4.44±0.61 vs. 3.97±0.74, P < 0.05) and significantly reduced motion artifacts (EMA: 1.73±0.47 mm vs. 4.55±1.35 mm, P < 0.05) compared to conventional PVCT images (Group 2). The contrast agent dosage was also lower in Group 1 (33.19±3.82 mL vs. 45 mL, P < 0.05). Due to multiphase acquisition in CCTA, the radiation dose in Group 1 was slightly higher than in Group 2 (2.44±0.89 mSv vs. 1.87±0.07 mSv, P < 0.05). Although the CT attenuation values of CCTA-derived PVCT images were lower than those of conventional PVCT, they still provided sufficient enhancement for diagnostic purposes. Conclusion: The use of CCTA-derived PVCT images with extDFOV reconstruction is a feasible and effective method for pre-procedural assessment in CAD patients with AF. This approach significantly reduces contrast agent dosage, minimizes motion artifacts, and optimizes imaging workflow without compromising diagnostic accuracy.