Key result
Pericoronary fat attenuation at 40 keV is linked to ~2.3-fold higher odds of significant RCA stenosis.
Why the study?
The study investigated the association between pericoronary adipose tissue attenuation and coronary artery disease using a 512-slice Spectral CT scanner at E Hospital.
Does pericoronary adipose tissue (PCAT) attenuation measured by 512-slice Spectral CT (specifically FAI at 40 keV and 70 keV, λHU, and Eff-Z) correlate with and predict significant coronary artery stenosis in patients undergoing coronary CT angiography?
Cross-Sectional (n=117)
No
Does pericoronary adipose tissue (PCAT) attenuation measured by 512-slice Spectral CT (specifically FAI at 40 keV and 70 keV, λHU, and Eff-Z) correlate with and predict significant coronary artery stenosis in patients undergoing coronary CT angiography?
Quantification of pericoronary adipose tissue fat attenuation index at low energy (FAI40keV) using 512-slice Spectral CT independently predicts significant right coronary artery stenosis with 94.4% sensitivity at a −163.25 HU cutoff, offering a sensitive non-invasive imaging biomarker of coronary inflammation.
May support FAI at 40 keV for RCA assessment on spectral CT; leaves open prospective validation before clinical use.
Objective: To investigate the association between pericoronary adipose tissue (PCAT) attenuation and coronary artery disease (CAD) using a 512-slice Spectral CT scanner at E Hospital. Methods: This cross-sectional descriptive study included 117 patients divided into three groups: the non-stenotic group, the non-significant stenosis group, and the severe stenosis group, with 39 patients in each group. Fat attenuation index (FAI) measurements at 40 keV and 70 keV, λHU, and effective atomic number (Eff-Z) were obtained using dedicated workstation software. In the non-stenotic group, the volume of interest (ROI) was measured 10–50 mm from the origin of the right coronary artery (RCA) and within a 40-mm segment of the left anterior descending artery (LAD) and left circumflex artery (LCx). In patients with stenosis, measurements were performed around the site of the most severe stenosis. The attenuation threshold for adipose tissue was set at −190 to −30 HU. Patients with significant stenosis detected on coronary CT angiography underwent digital subtraction angiography (DSA) for comparison. Results: Significant differences in PCAT attenuation parameters measured using 512-slice CT were observed across the three study groups in the individual coronary artery branches (p < 0.05). In the RCA, FAI at 40 keV (FAI40keV) was an independent predictor of significant stenosis, with a cutoff value of −163.25 HU and a sensitivity of 94.4%. In the LAD and LCx, FAI at 70 keV (FAI70keV) and [λHU value to be specified] were significant parameters for assessing the risk of coronary artery stenosis. Conclusion: PCAT attenuation parameters in the three major coronary arteries vary according to the severity of stenosis. FAI40keV is an independent predictor of significant coronary artery stenosis. The 512-slice Spectral CT technology enables sensitive FAI quantification at low energy levels, providing an important imaging biomarker of underlying vascular inflammation and offering particular value for early cardiovascular risk stratification.
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Phan et al. (2026) conducted a cross-sectional in Coronary artery disease (n=117). Pericoronary adipose tissue (PCAT) fat attenuation index at 40 keV (FAI40keV) measured by 512-slice Spectral CT vs. Non-stenotic coronary arteries (and digital subtraction angiography reference) was evaluated on Significant right coronary artery (RCA) stenosis (>=50%) confirmed by digital subtraction angiography (DSA) (OR 2.29, 95% CI 1.011-5.201, p=0.04). Pericoronary fat attenuation index at 40 keV independently predicted significant RCA stenosis on angiography (OR 2.29, 95% CI 1.011-5.201, p=0.04) with 94.4% sensitivity at a -163.25 HU cutoff.
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