Aim:
Coronary computed tomography angiography (CCTA)-derived fractional flow reserve (FFR
CT
) accurately diagnoses ischemic lesions of intermediate stenosis severity. However, significant determinants of FFR
CT
have not been fully evaluated.
Methods:
This was a sub-analysis of the Treatment of Alogliptin on Coronary Atherosclerosis Evaluated by Computed Tomography-Based Fractional Flow Reserve trial. Thirty-nine diabetic patients (117 vessels) with intermediate coronary artery stenosis [percent diameter stenosis (%DS) <70%] in whom FFR
CT
was measured were included in this study. CCTA-defined, vessel-based volumetric and morphological characteristics of plaques were examined to determine their ability to predict FFR
CT
.
Results:
Patient-based, multivariate linear regression analysis showed that hemoglobinA1c, triglycerides, and the estimated glomerular filtration rate were significant independent factors associated with FFRCT. Vessel-based, univariate linear regression analysis showed that the total atheroma volume (
r
= -0.233,
p
=0.01) and the percentage atheroma volume (PAV) (
r
= −0.284,
p
=0.002) as well as %DS (
r
= −0.316,
p
=0.006) were significant determinants of FFR
CT
. Among the plaque components, significant negative correlations were observed between FFR
CT
and low- (
r
= −0.248,
p
=0.007) or intermediate-attenuation plaque volume (
r
= −0.186,
p
= 0.045), whereas calcified plaque volume was not associated with FFR
CT
. In the left anterior descending coronary artery (LAD), the plaque volume of each component was associated with FFR
CT
.
Conclusions:
Plaque volume, PAV, and %DS were significant determinants of FFR
CT
. Plaque morphology, particularly in LAD, was associated with FFR
CT
in diabetic patients with intermediate coronary artery stenosis.