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Войти в исследования Clinical radiology · 2025
Exploring the correlation between high-risk coronary plaque and hepatic fat fraction in non-alcoholic fatty liver disease using spectral computed tomography (CT).
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Li Q, Cui T, Ding H, Shi X, Zhang Y, Jiang P, Han J, Li J, Liu J
Аннотация
AIM: To quantitatively assess the fat volume fraction (FVF) in nonalcoholic fatty liver disease (NAFLD) using the spectral computed tomography (CT) multimaterial decomposition (MMD) algorithm and to investigate its association with high-risk coronary plaques (HRP).
MATERIALS AND METHODS: This retrospective study included patients diagnosed with coronary artery disease (CAD) from August 2023 to August 2024 who underwent coronary CT angiography and abdominal enhanced spectral CT imaging. Patients were categorised into three groups based on HRP imaging features (positive remodelling, low-density plaques, spotty calcification, and napkin ring sign): no plaque (n = 57), non-HRP (n = 54), and HRP (n = 48) groups. FVF was measured using the spectral CT MMD algorithm to quantify liver fat content. Clinical characteristics, biochemical markers, and imaging differences among the groups were analysed. Univariate and multivariate logistic regression analyses were performed to determine the association between FVF and HRP.
RESULTS: FVF values were significantly higher in the HRP group (13.2%) compared to the non-HRP group (9.2%) and the no plaque group (6.5%) (P<0.001). Multivariate binary logistic regression analysis identified FVF as an independent risk factor for HRP (odds ratio [OR]: 2.55, P<0.001), along with high-sensitivity C-reactive protein (hs-CRP) (OR: 1.94, P=0.025) and diabetes mellitus (OR: 9.83, P=0.002). Additionally, FVF correlated epicardial and pericoronary adipose tissue (PCAT) volume and CT attenuation (P<0.001).
CONCLUSION: The spectral CT MMD algorithm enables quantitative assessment of FVF, which is independently associated with coronary HRP formation in NAFLD patients. Elevated FVF serves as a risk factor for CAD in patients with NAFLD.
MATERIALS AND METHODS: This retrospective study included patients diagnosed with coronary artery disease (CAD) from August 2023 to August 2024 who underwent coronary CT angiography and abdominal enhanced spectral CT imaging. Patients were categorised into three groups based on HRP imaging features (positive remodelling, low-density plaques, spotty calcification, and napkin ring sign): no plaque (n = 57), non-HRP (n = 54), and HRP (n = 48) groups. FVF was measured using the spectral CT MMD algorithm to quantify liver fat content. Clinical characteristics, biochemical markers, and imaging differences among the groups were analysed. Univariate and multivariate logistic regression analyses were performed to determine the association between FVF and HRP.
RESULTS: FVF values were significantly higher in the HRP group (13.2%) compared to the non-HRP group (9.2%) and the no plaque group (6.5%) (P<0.001). Multivariate binary logistic regression analysis identified FVF as an independent risk factor for HRP (odds ratio [OR]: 2.55, P<0.001), along with high-sensitivity C-reactive protein (hs-CRP) (OR: 1.94, P=0.025) and diabetes mellitus (OR: 9.83, P=0.002). Additionally, FVF correlated epicardial and pericoronary adipose tissue (PCAT) volume and CT attenuation (P<0.001).
CONCLUSION: The spectral CT MMD algorithm enables quantitative assessment of FVF, which is independently associated with coronary HRP formation in NAFLD patients. Elevated FVF serves as a risk factor for CAD in patients with NAFLD.