Computed tomography angiography characteristics of atherosclerotic plaques in head and neck of patients with cerebral watershed infarction and its correlation with ambulatory arterial stifness index
Yu Yuan
Wang Kun
Yang Shuzhen
Abstract：Objective To explore the computed tomography angiography(CTA)characteristics of athero-sclerotic plaques in the head and neck of patients with cerebral watershed infarction(CWI)and its correlation with ambulatory arterial stifness index(AASI).Methods The clinical data of 100 patients with CWI who were admitted to Beijing Aerospace General Hospital from March 2021 to March 2024 were retrospectively analyzed,and they were divided into acute CWI(ACWI)group(46 cases)and non-ACWI group(54 cases)according to the results of magnetic resonance diffusion-weighted imaging.Multiple Logistic regression method was used to analyze the association effects between risk factors and different stratification parameters.Multivariable linear regression(MLR)model was used to analyze the correlation.The receiver operating characteristic(ROC)curve was used to evaluate the predictive performance.Results Multivariate analysis showed that the degree of internal carotid artery(ICA)stenosis,middle cerebral artery(MCA)stenosis,number of diseased vessels,mean arterial pressure(MAP),fasting blood glucose(FBG),low-density lipoprotein cholesterol(LDL-C),AASI,carotid plaque(CP)burden,CP volume,and CP lipid core volume were all independent influencing factors for the occurrence of ACWI(all P＜0.05).MLR analysis showed that AASI was positively correlated with the degree of internal carotid artery stenosis,MCA stenosis,number of diseased vessel branches,CP load,CP volume,CP lipid core volume,fasting blood glucose,and LDL-C(all P＜0.05).There was a strong correlation between AASI and CP burden,volume,and lipid core volume(allPtrend＜0.05).ROC curve analysis showed that the combination of ICA and MCA stenosis degree+number of diseased blood vessels+CP burden+CP volume+CP lipid core volume+ASI had the highest area under the curve(0.924)and predictive value for predicting ACWI.Conclusions ICA and MCA stenosis degree,number of diseased vessel branches,AASI,CP burden,volume,lipid core volume,FBG,and LDL-C are all independent influencing factors for the occurrence of ACWI.In clinical practice,early diagnosis of ACWI patients can be achieved by combining head and neck CTA diagnostic results and related parameters with AASI.
Keywords：Cerebral watershed infarctionComputed tomography angiographyAmbulatory arterial stifness index
Publication Date：2025-10-18
Online Publishing Date：2026-09-14(First online date of this platform, not the publication date of the document)
Pages：6( 1488-1493 )