[Value of maximum area stenosis combined with perivascular fat attenuation index in predicting hemodynamically significant coronary artery disease]

Objective: To investigate the combined value of coronary computed tomography angiography (CCTA) indicators and perivascular fat attenuation index (FAI) in predicting hemodynamically significant coronary artery disease.

Methods: We retrospectively analyzed the data of patients undergoing CCTA in Chinese PLA General Hospital from 2017 to 2019, who were also examined for fractional flow reserve (FFR) with invasive coronary angiography within one month before inclusion. The CCTA indicators at the vascular level were measured, including plaque distribution, coronary artery calcification score, lesion length, maximum diameter stenosis, maximum area stenosis (MAS), total plaque burden (TPB), perivascular FAI, and CT-FFR based on machine learning. Lesion-specific hemodynamically significant coronary artery disease was diagnosed for an invasive FFR≤0.8.

Results: A total of 99 patients with 124 involved coronary arteries were included in this analysis. At the vascular level, according to the results of invasive FFR, coronary artery calcification score, maximum diameter stenosis, MAS and the total plaque burden were significantly higher in patents with a FFR≤0.8 than in those with a FFR>0.8; the perivascular FAI (P < 0.01) and CT-FFR (P < 0.01) also differed significantly between the two groups. The AUC of MAS combined with perivascular FAI was 0.818, which was not significantly different from that of CT-FFR (P=0.076).

Conclusion: The combination of MAS and perivascular FAI has good diagnostic performance in predicting hemodynamically significant coronary stenosis, which is comparable with that of CT-FFR.