Objective To analyze the application value of multimodal CT imaging parameters in the differentiation of TOAST classification for cerebral infarction.Methods According to the TOAST classification,the selected 103 patients with cerebral infarction were categorized into large-artery atherosclerosis(LAA)group,cardioembolic(CE)group,small-artery occlusion(SAO)group,other determined etiologies(SOD)group,and undetermined etiologies(SUE)group.All patients underwent non-contrast CT scanning and CT angiography.Cerebral angiography was adopted as the gold standard.Results For the LAA,CE,SAO,SOD,and SUE groups,the diagnostic performance of multimodal CT imaging was as followed:true positive rates were 73.17%,45.45%,75.00%,40.00%,and 72.00%;sensitivities were 90.10%,85.71%,92.30%,85.71%,and 90.00%;specificities were 75.00%,75.00%,66.67%,66.67%,and 80.00%;miss rates were 9.09%,28.57%,7.69%,14.28%,and 10.00%;misdiagnosis rates were 25.00%,25.00%,33.33%,33.33%,and 20.00%;positive predictive rates were 93.75%,83.33%,92.31%,85.71%,and 94.74%;and negative predictive rates were 66.67%,60.00%,66.67%,66.67%,and 66.67%,respectively.Kappa test results showed that the multimodal CT imaging findings were highly consistent with the gold standard(Kappa>0.75,P<0.05).Conclusion Multimodal CT imaging technology can effectively assist in the differentiation of TOAST classification for cerebral infarction,thereby improving the accuracy of clinical diagnosis.

Objective To analyze the application value of multimodal CT imaging parameters in the differentiation of TOAST classification for cerebral infarction.Methods According to the TOAST classification,the selected 103 patients with cerebral infarction were categorized into large-artery atherosclerosis(LAA)group,cardioembolic(CE)group,small-artery occlusion(SAO)group,other determined etiologies(SOD)group,and undetermined etiologies(SUE)group.All patients underwent non-contrast CT scanning and CT angiography.Cerebral angiography was adopted as the gold standard.Results For the LAA,CE,SAO,SOD,and SUE groups,the diagnostic performance of multimodal CT imaging was as followed:true positive rates were 73.17%,45.45%,75.00%,40.00%,and 72.00%;sensitivities were 90.10%,85.71%,92.30%,85.71%,and 90.00%;specificities were 75.00%,75.00%,66.67%,66.67%,and 80.00%;miss rates were 9.09%,28.57%,7.69%,14.28%,and 10.00%;misdiagnosis rates were 25.00%,25.00%,33.33%,33.33%,and 20.00%;positive predictive rates were 93.75%,83.33%,92.31%,85.71%,and 94.74%;and negative predictive rates were 66.67%,60.00%,66.67%,66.67%,and 66.67%,respectively.Kappa test results showed that the multimodal CT imaging findings were highly consistent with the gold standard(Kappa>0.75,P<0.05).Conclusion Multimodal CT imaging technology can effectively assist in the differentiation of TOAST classification for cerebral infarction,thereby improving the accuracy of clinical diagnosis.