Belmonte Marta, Paolisso Pasquale, Gallinoro Emanuele, Bertolone Dario Tino, Leone Attilio, Esposito Giuseppe, Caglioni Serena, Viscusi Michele Mattia, Bermpeis Konstantinos, Storozhenko Tatyana, Wyffels Eric, Bartunek Joseph, Sonck Jeroen, Collet Carlos, Andreini Daniele, Vanderheyden Marc, Penicka Martin, Barbato Emanuele
Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; IRCCS Galeazzi Sant'Ambrogio Hospital, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
J Cardiovasc Comput Tomogr. 2025 Jan-Feb;19(1):17-25. doi: 10.1016/j.jcct.2024.09.015. Epub 2024 Oct 10.
Discrepancies between stenosis severity assessed at coronary computed tomography angiography (CCTA) and ischemia might depend on vessel type. Coronary plaque features are associated with ischemia. Thus, we evaluated the vessel-specific correlation of CCTA-derived diameter stenosis (DS) and invasive fractional flow reserve (FFR) and explored whether integrating morphological plaque features stratified by vessel might increase the predictive yield in identifying vessel-specific ischemia.
Observational cohort study including patients undergoing CCTA for suspected coronary artery disease, with at least one vessel with DS ≥ 50 % at CCTA, undergoing invasive coronary angiography and FFR. Plaque analysis was performed using validated semi-automated software. Coronary vessels were stratified in left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA). Per vessel independent predictors of ischemia among CCTA-derived anatomical and morphologic plaque features were tested at univariable and multivariable logistic regression analysis. The best cut-off to predict ischemia was determined by Youden's index. Ischemia was defined by FFR≤0.80.
The study population consisted of 192 patients, of whom 224 vessels (61 % LAD, 19 % LCX, 20 % RCA) had lesions with DS ≥ 50 % interrogated by FFR. Despite similar DS, the rate of FFR≤0.80 was higher in the LAD compared to LCX and RCA (67.2 % vs 43.2 % and 44.2 %, respectively, p = 0.018). A significant correlation between DS and FFR was observed only in LAD (p = 0.003). At multivariable analysis stratified by vessel, the vessel-specific independent predictors of positive FFR were percent atheroma volume (threshold>17 %) for LAD, non-calcified plaque volume (threshold >130 mm) for LCX, and lumen volume (threshold <844 mm) for RCA. Integrating DS and vessel-specific morphological plaque features significantly increased the predictive yield for ischemia compared to DS alone (AUC ranging from 0.51 to 0.63 to 0.76-0.80).
Integrating DS and vessel-specific morphological plaque features significantly increased the predictive yield for vessel-specific ischemia compared to DS alone, potentially improving patients' referral to the catheterization laboratory.
冠状动脉计算机断层扫描血管造影(CCTA)评估的狭窄严重程度与缺血之间的差异可能取决于血管类型。冠状动脉斑块特征与缺血相关。因此,我们评估了CCTA衍生的直径狭窄(DS)与有创血流储备分数(FFR)的血管特异性相关性,并探讨整合按血管分层的形态学斑块特征是否能提高识别血管特异性缺血的预测效能。
观察性队列研究,纳入因疑似冠心病接受CCTA检查、且在CCTA中至少有一支血管DS≥50%的患者,这些患者随后接受有创冠状动脉造影和FFR检查。使用经过验证的半自动软件进行斑块分析。冠状动脉分为左前降支(LAD)、左旋支(LCX)和右冠状动脉(RCA)。在单变量和多变量逻辑回归分析中,测试CCTA衍生的解剖学和形态学斑块特征中各血管缺血的独立预测因素。通过约登指数确定预测缺血的最佳截断值。缺血定义为FFR≤0.80。
研究人群包括192例患者,其中224支血管(61%为LAD,19%为LCX,20%为RCA)有DS≥50%的病变并接受了FFR检查。尽管DS相似,但LAD中FFR≤0.80的发生率高于LCX和RCA(分别为67.2%、43.2%和44.2%,p = 0.018)。仅在LAD中观察到DS与FFR之间存在显著相关性(p = 0.003)。在按血管分层的多变量分析中,LAD中FFR阳性的血管特异性独立预测因素是动脉粥样硬化体积百分比(阈值>17%),LCX是非钙化斑块体积(阈值>130mm),RCA是管腔体积(阈值<844mm)。与单独使用DS相比,整合DS和血管特异性形态学斑块特征显著提高了缺血的预测效能(AUC范围从0.51至0.63提高到0.76至0.80)。
与单独使用DS相比,整合DS和血管特异性形态学斑块特征显著提高了血管特异性缺血的预测效能,可能改善患者转诊至导管室的情况。