-
1
The study evaluated preoperative multimodal CT models to predict outcomes after mechanical thrombectomy in acute anterior circulation occlusion stroke.
-
2
Among 131 patients, 58.78% achieved favorable clinical outcomes, while 41.22% experienced unfavorable outcomes post-recanalization.
-
3
Significant variables influencing outcomes included age, preoperative blood glucose, NIHSS score, ASPECTS, collateral score, and infarct core volume.
-
4
The C-NP Model demonstrated the highest predictive capability with an AUC of 0.861 and an accuracy of 0.771, enhancing clinical applicability.
-
5
This research underscores the importance of rapid preoperative evaluations to inform treatment decisions for patients with acute ischemic stroke.
