To create and evaluate preoperative multimodal CT-derived models to forecast outcomes post-successful recanalization in acute anterior circulation occlusive stroke, focusing on prognostic evaluation.
Key Findings:
58.78% of patients had favorable clinical outcomes (mRS 0–3).
Significant variables included age, preoperative blood glucose, NIHSS score, ASPECTS, collateral score, infarct core volume, and hypoperfusion volume.
The C-NP Model had the highest AUC of 0.861, indicating strong predictive capability.
Interpretation:
The integrated C-NP Model effectively predicts outcomes after mechanical thrombectomy, significantly aiding in clinical decision-making and patient management.
Limitations:
Retrospective design may introduce selection bias, potentially affecting the reliability of the findings.
Single-center study limits generalizability, necessitating further validation in diverse settings.
Conclusion:
The C-NP Model demonstrates significant predictive capability for outcomes post-thrombectomy, enhancing practical applicability for clinicians in evaluating patient prognosis.
