A score system used to screen the suitability for recanalization in carotid artery occlusions

Abstract

Recanalization of chronic occluded internal carotid arteries has the potential to provide significant benefits for patients in the future, but the procedure is technically challenging. Therefore, this study aimed to identify a better method to predict the success of recanalization for patients with chronic internal carotid artery occlusion. The study's overall success rate was 73.77%. The multivariate logistic regression analysis revealed that two factors were independent predictors of successful recanalization: the continuous low signal lumen in the occluded segment of the internal carotid artery on the MRI image without contrast (OR: 15.9; 95% CI: 2.67-94.63) and the architecture of the clinoid segment of the internal carotid artery on the MRI image with contrast (OR: 11.97; 95% CI: 2.44-58.79). Based on the model coefficient, the researchers established an MRI score system. The MRI score system's area under the curve (AUC) in predicting successful recanalization was 0.916 (95% CI: 0.815 to 0.972; p < 0.001) with a sensitivity of 83.33% and a specificity of 72.22%. Compared to the previous score system based on the DSA morphology, the MRI system had a similar sensitivity and a better specificity. Therefore, the continuous low signal lumen in the occluded segment of the internal carotid artery on the MRI image without contrast and the architecture of the clinoid segment of the internal carotid artery on the MRI image with contrast were identified as independent predictors for successful recanalization in patients with chronic internal carotid artery occlusion (CICAO)