The relationship between the characteristics of carotid atherosclerotic plaque and ACI was predicted by rapid 3D magnetic resonance vessel wall imaging (3D MR-VWI).

From August 2020 to August 2023, 227 patients with carotid atherosclerotic plaque who visited Dongtai People's Hospital underwent 3D MR-VWI examination and were divided into an ACI group (115 cases) and non ACI group (112 cases) based on pathological results. Analyzed the characteristics of atherosclerotic plaques in the internal carotid artery of the two groups of patients, used LASSO regression and multiple logistic regression analysis to identify influencing factors for ACI occurrence; And based on the results of multi factor analysis, constructed a column chart prediction model, Based on the results of multi-factor analysis, a nomogram prediction model was constructed to evaluate the diagnostic efficacy of the model.

In this study, the consistency between 3D MR-VW examination and pathological diagnosis results was high (Kappa value=0.802), and the MR product score of unstable plaques was significantly higher than that of stable plaques, with statistical significance (P<0.05); In ACI group, the proportion of hypertension and diabetes, triglyceride(TG),lowdensity lipoprotein cholesterol(LDL-C), systolic blood pressure, homocysteine(Hcy), hypersensitive C-reactive protein, D-dimer, and fibrinogen levels, carotid plaque number, plaque length, plaque thickness, plaque MR score significantly increased, and high density lipoprotein cholesterol level significantly decreased compared with the non ACI group (P<0.05); The results of multivariate logistic regression analysis showed that Hcy, TG, LDL-C, systolic blood pressure, D-dimer, and plaque MR score were influencing factors for the occurrence of ACI (P<0.05 for all); And constructed a prediction model and drawing the ROC curve and the calibration curve to indicate that the prediction model had high discriminability and good accuracy.

The characteristics of carotid atherosclerotic plaque are closely related to the occurrence of ACI. 3D MR-VWI combined with plaque MR integral technology can be used clinically to effectively evaluate the characteristics of plaque, so as to facilitate early intervention and reduce the risk of ACI.