Data Sheet 2_Development of a preoperative prediction model for vascular recanalization in cervical artery dissection based on HR-VWI radiomics features combined with clinical risk factors.csv

The LR model achieved the best performance, with an AUC of 0.757 (95% CI: 0.531–0.983) and average precision of 0.95 in the independent test set. The model showed acceptable calibration (Brier score = 0.129; intercept = 0.913; slope = 0.896) and favorable clinical utility by DCA. Hyperuricemia, hyperlipidemia, smoking, headache, stenosis degree, and specific radiomics features were independent predictors of recanalization.

Wavelet-HLH_glszm_Small Area High Gray Level Emphasis and wavelet-LHH_glcm_SumEntropy showed the most significant predictive effects. However, given the limited sample size and few events, these results should be interpreted as preliminary.</p>Conclusion<p>The combined LR model shows moderate discriminative ability for predicting vascular recanalization in CeAD. As a proof-of-concept study, it provides preliminary reference for prognostic assessment, while external validation in larger multi-center cohorts is warranted before clinical implementation.</p>