Functional evaluation of intermediate coronary lesions with integrated computed tomography angiography and invasive angiography in patients with stable coronary artery disease

Author:

Xue Jingyi12,Li Jianqiang1,Sun Danghui1,Sheng Li1,Gong Yongtai1,Wang Dingyu1,Zhang Song1,Zou Yilun1,Shi Jing1,Xu Wei1,An Mengnan1,Dai Chenguang1,Li Weimin1,Zheng Linqun3,Vinograd Asiia1,Liu Guangzhong1,Kong Yihui1,Li Yue1

Affiliation:

1. Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin Medical University , Harbin , Heilongjiang Province , China

2. Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences , Guangzhou , Guangdong Province , China

3. Molecular and Translational Cardiology, Hannover Medical University , Hannover , Germany

Abstract

Abstract Background and objectives The hemodynamic evaluation of coronary stenoses undergoes a transition from wire-based invasive measurements to image-based computational assessments. However, fractional flow reserve (FFR) values derived from coronary CT angiography (CCTA) and angiography-based quantitative flow ratio have certain limitations in accuracy and efficiency, preventing their widespread use in routine practice. Hence, we aimed to investigate the diagnostic performance of FFR derived from the integration of CCTA and invasive angiography (FFRCT-angio) with artificial intelligence assistance in patients with stable coronary artery disease (CAD). Methods Forty stable CAD patients with 67 target vessels (50%–90% diameter stenosis) were included in this single-center retrospective study. All patients underwent CCTA followed by coronary angiography with FFR measurement within 30 days. Both CCTA and angiographic images were combined to generate a three-dimensional reconstruction of the coronary arteries using artificial intelligence. Subsequently, functional assessment was performed through a deep learning algorithm. FFR was used as the reference. Results FFRCT-angio values were significantly correlated with FFR values (r = 0.81, P < 0.001, Spearman analysis). Per-vessel diagnostic accuracy of FFRCT-angio was 92.54%. Sensitivity and specificity in identifying ischemic lesions were 100% and 88.10%, respectively. Positive predictive value and negative predictive value were 83.33% and 100%, respectively. Moreover, the diagnostic performance of FFRCT-angio was satisfactory in different target vessels and different segment lesions. Conclusions FFRCT-angio exhibits excellent diagnostic performance of identifying ischemic lesions in patients with stable CAD. Combining CCTA and angiographic imaging, FFRCT-angio may represent an effective and practical alternative to invasive FFR in selected patients.

Publisher

Walter de Gruyter GmbH

Subject

Internal Medicine

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