Abstract:Objective To analyze the prognostic value of CT perfusion imaging combined with the serum level of microRNA-493 (miR-493) in patients with acute cerebral infarction (ACI).Methods A total of 149 ACI patients admitted to our hospital from June 2019 to November 2022 were selected. All patients underwent CT perfusion imaging and detection of the serum level of miR-493 before treatment, and were followed up for 3 months after thrombolytic therapy to evaluate their prognosis. Factors influencing the prognosis of ACI patients were analyzed, and the value of CT perfusion imaging parameters combined with the serum level of miR-493 in predicting the prognosis of ACI patients was determined.Results Among 149 patients with ACI, 20 had a poor prognosis. Multivariable Logistic regression analysis showed that the National Institutes of Health Stroke Scale (NIHSS) score [O^R = 5.743 (95% CI: 2.363, 13.958) ], cerebral blood flow (CBF) [O^R = 3.931 (95% CI: 1.618, 9.555) ], cerebral blood volume (CBV) [O^R = 3.827 (95% CI: 1.575, 9.301) ], mean transit time (MTT) [O^R = 3.615 (95% CI: 1.487, 8.785) ] and the level of miR-493 [O^R = 3.873 (95% CI: 1.594, 9.412) ] were factors affecting the prognosis of ACI patients (P < 0.05). Receiver operating characteristic (ROC) curve analysis demonstrated that the sensitivities of CBF, CBV, MTT, miR-493 and their combination for predicting the prognosis of ACI patients were 70.00% (95% CI: 0.457, 0.872), 75.00% (95% CI: 0.506, 0.904), 70.00% (95% CI: 0.457, 0.872), 65.00% (95% CI: 0.410, 0.837), and 85.00% (95% CI: 0.641, 0.960), with the specificities being 70.54% (95% CI: 0.618, 0.781), 79.85% (95% CI: 0.717, 0.862), 73.64% (95% CI: 0.650, 0.808), 71.32% (95% CI: 0.626, 0.788), and 89.92% (95% CI: 0.831, 0.943), and the areas under the curves (AUCs) being 0.734, 0.798, 0.733, 0.739, and 0.906.Conclusions CT perfusion imaging parameters CBF, CBV and MTT combined with the serum level of miR-493 are effective in predicting the prognosis of ACI patients.