Li Q, Cui T, Ding H, Shi X, Zhang Y, Jiang P, Han J, Li J, Liu J
Department of Medical Imaging, Kailuan General Hospital Affiliated to North China University of Science and Technology, China.
Graduate School of Hebei North University, China.
Clin Radiol. 2025 Jul;86:106943. doi: 10.1016/j.crad.2025.106943. Epub 2025 Apr 26.
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).
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.
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).
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.
使用光谱计算机断层扫描(CT)多物质分解(MMD)算法定量评估非酒精性脂肪性肝病(NAFLD)中的脂肪体积分数(FVF),并研究其与高危冠状动脉斑块(HRP)的关联。
这项回顾性研究纳入了2023年8月至2024年8月期间诊断为冠状动脉疾病(CAD)并接受冠状动脉CT血管造影和腹部增强光谱CT成像的患者。根据HRP成像特征(阳性重塑、低密度斑块、斑点状钙化和餐巾环征)将患者分为三组:无斑块组(n = 57)、非HRP组(n = 54)和HRP组(n = 48)。使用光谱CT MMD算法测量FVF以量化肝脏脂肪含量。分析了各组的临床特征、生化标志物和影像学差异。进行单因素和多因素逻辑回归分析以确定FVF与HRP之间的关联。
与非HRP组(9.2%)和无斑块组(6.5%)相比,HRP组的FVF值显著更高(13.2%)(P<0.001)。多因素二元逻辑回归分析确定FVF是HRP的独立危险因素(比值比[OR]:2.55,P<0.001),同时还有高敏C反应蛋白(hs-CRP)(OR:1.94,P = 0.025)和糖尿病(OR:9.83,P = 0.002)。此外,FVF与心外膜和冠状动脉周围脂肪组织(PCAT)体积及CT衰减相关(P<0.001)。
光谱CT MMD算法能够定量评估FVF,其与NAFLD患者冠状动脉HRP形成独立相关。FVF升高是NAFLD患者CAD的危险因素。