Mátyás Botond Barna, Benedek Imre, Rat Nóra, Blîndu Emanuel, Rodean Ioana Patricia, Haja Ioana, Păcurar Delia, Mihăilă Theofana, Benedek Theodora
Clinic of Cardiology, Mureș County Emergency Clinical Hospital, 540136 Târgu Mureș, Romania.
Doctoral School of Medicine and Pharmacy, "George Emil Palade" University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, 540139 Târgu Mureș, Romania.
Life (Basel). 2025 Aug 13;15(8):1288. doi: 10.3390/life15081288.
Coronary artery calcium (CAC) scores are a widely used surrogate marker for atherosclerotic burden, but they do not fully reflect plaque vulnerability or coronary inflammation. This study aimed to evaluate the relationship between CACs, coronary plaque characteristics, and perivascular inflammatory activity using advanced CCTA and CaRi-Heart analysis.
A total of 250 patients with no prior cardiovascular disease were retrospectively evaluated and stratified by CACs into three groups: 0 ( = 28), 1-100 ( = 121), and >100 ( = 101). Coronary plaque morphology, high-risk plaque (HRP) features, CAD-RADS scores, and AI-derived fat attenuation index (FAI) centiles were assessed.
Significant differences across CAC categories were observed for several key parameters. The number of diseased coronary segments increased markedly (from 1.39 ± 1.10 vs. 2.97 ± 1.57 vs. 3.94 ± 2.10; < 0.0001, one-way ANOVA). A similar upward trend was seen for segment involvement scores, HRP prevalence, and the proportions of mixed and calcified plaque components. Regression analysis demonstrated that CACs correlated significantly with segment burden (r = 0.2520), CAD-RADS (r = 0.1352), and the FAI score centile (r = 0.0568).
This study highlights the limitations of CACs as a standalone risk stratification tool. Vulnerable and inflamed plaques may already be present in patients with low or zero CACs. Integrating CCTA with perivascular FAI mapping enables earlier detection of biologically active atherosclerosis and supports more precise clinical decision-making.
冠状动脉钙化(CAC)评分是一种广泛应用的动脉粥样硬化负担替代标志物,但它们不能完全反映斑块易损性或冠状动脉炎症。本研究旨在使用先进的冠状动脉CT血管造影(CCTA)和CaRi-Heart分析评估CAC评分、冠状动脉斑块特征和血管周围炎症活动之间的关系。
对250例无心血管疾病史的患者进行回顾性评估,并根据CAC评分分为三组:0(n = 28)、1 - 100(n = 121)和>100(n = 101)。评估冠状动脉斑块形态、高危斑块(HRP)特征、CAD-RADS评分和人工智能衍生的脂肪衰减指数(FAI)百分位数。
在几个关键参数上,不同CAC类别之间存在显著差异。病变冠状动脉节段数量显著增加(分别为1.39±1.10对2.97±1.57对3.94±2.10;P < 0.0001,单因素方差分析)。节段累及评分、HRP患病率以及混合和钙化斑块成分的比例也呈现类似的上升趋势。回归分析表明,CAC评分与节段负担(r = 0.2520)、CAD-RADS(r = 0.1352)和FAI评分百分位数(r = 0.0568)显著相关。
本研究强调了CAC评分作为独立风险分层工具的局限性。CAC评分低或为零的患者可能已经存在易损和炎症斑块。将CCTA与血管周围FAI映射相结合,能够更早地检测出具有生物学活性的动脉粥样硬化,并支持更精确的临床决策。