Study on CTP Parameter Prediction of Infarct Core in Patients with Acute Ischemic Stroke
Objective This study was to investigate the value of double-layer spectral detector CT angiography(DLCTA)in the differentiation of infarction and penumbra in patients with acute ischemic stroke(AIS),so as to establish a nomogram combined with CT parameters to predict infarction and perform multi-angle evaluation.Methods The clinical data of 102 patients with AIS were analyzed retrospectively.Using CTP as reference,the patients were divided into non-infarct group and infarct group.Multiple Logistic regression analysis was used to screen the predictive factors related to infarction,and the nomogram model was established.Receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the predictive validity,accuracy and clinical practicability of the model.Results Three independent predictors were selected by multivariate Logistic regression analysis:iodine concentration(OR:0.022,95%CI:0.003-0.170,P<0.001),hypertension(OR:7.179,95%CI:1.766-29.186,P=0.006),triglyceride(OR:0.255,95%CI:0.109-0.594,P=0.006).The AUC ROC of Nomogram was 0.913.Conclusion CT parameters,especially iodine density,can effectively distinguish the infarct area from the penumbra area in AIS patients.Normogram based on iodine density values shows strong predictive power,differentiation and clinical practicability,and can accurately predict the infarct core in AIS patients.