Objective:To analyze the predictive value of multimodal MRI and perfusion weighted imaging(PWI) for cogni-tive dysfunction in patients with cerebral infarction(CI).Methods:From May 2020 to August 2023,139 patients with CI com-plicated with cognitive dysfunction were treated in Changzhou Cancer Hospital as the cognitive dysfunction group 1,70 pa-tients with CI complicated with cognitive dysfunction as the cognitive dysfunction group 2,148 patients with simple CI treated in the same period as the non-cognitive dysfunction group 1 and 75 patients with simple CI as the non-cognitive dysfunction group 2,in which cognitive dysfunction group 1 and non-cognitive dysfunction group 1 were combined as the modeling group,and the cognitive dysfunction group 2 and the non-cognitive dysfunction group 2 were combined as the verification group.The general data,multimodal MRI parameters and PWI quantitative parameters of the four groups were statistically analyzed.The influencing factors of cognitive impairment in CI patients were analyzed,and the relevant prediction models were constructed.The predictive value of the prediction model for cognitive impairment in CI patients and the predictive value of multimodal MRI parameters and PWI quantitative parameters for cognitive impairment in CI patients were analyzed.Results:Age,white matter lesion(WML) score,relative mean transit time(rMTT),and relative time to peak(rTTP) were all independent risk factors for CI complicated with cognitive dysfunction (OR=2.044,1.669,1.480,1.626,P<0.05).The model was further constructed to obtain the relevant prediction model.The ROC curve of the model discrimination showed that the area under the curve(AUC) of the model in the modeling group and the verification group was 0.878 and 0.781,respectively.The AUC of combined WML score,rMTT and rTTP in predicting cognitive impairment in CI patients was higher than that of the three alone( P<0.05).Conclusion:Age,score of WML,rMTT and rTTP are the main influencing factors of cognitive dysfunction in patients with CI.The combination of score of WML,rMTT and rTTP could effectively improve the predictive value of cognitive dysfunction in patients with CI.
万方数据
维普
