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Updated: Jul 26, 2025

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Nomogram to predict unfavorable outcome of endovascular thrombectomy for large ischemic core
Nannan Han1, Xiaobo Zhang2, Yu Zhang2
1Department of Neurology, The Affiliated Hospital of Northwest University, Xi'an No.3 Hospital, Xi'an, China.
Insights
A new nomogram predicts poor outcomes for stroke patients with large ischemic cores after endovascular thrombectomy. This tool uses clinical and imaging data to assess risk, aiding treatment decisions.
Area of Science:
- Neurology
- Radiology
- Interventional Cardiology
Background:
- Patients with large ischemic cores (LIC) after endovascular thrombectomy have a poor prognosis.
- Accurate prediction of outcomes is crucial for guiding treatment strategies.
Purpose of the Study:
- To develop and validate a predictive nomogram for 3-month unfavorable outcomes in patients with anterior circulation occlusion-related LIC undergoing endovascular thrombectomy.
Main Methods:
- A retrospective training cohort and a prospective validation cohort were analyzed.
- Clinical and diffusion-weighted imaging radiomic features were collected.
- A nomogram was constructed using selected features to predict modified Rankin Scale scores (3-6) as unfavorable outcomes.
Main Results:
- The study included 140 patients (95 training, 45 validation).
- Age, National Institute of Health Stroke Scale (NIHSS) score, Maximum2DDiameterColumn, and Maximum2DDiameterSlice were significant predictors.
- The nomogram showed strong discriminatory power with an AUC of 0.892 (training) and 0.872 (validation).
Conclusions:
- The developed nomogram effectively predicts unfavorable outcomes in patients with LIC from anterior circulation occlusion.
- This tool can aid clinicians in risk stratification and treatment planning for these complex stroke cases.
Objective:
The prognosis for patients presenting with a large ischemic core (LIC) following endovascular thrombectomy is relatively poor. This study aimed to construct and validate a nomogram for predicting 3-month unfavorable outcome in patients with anterior circulation occlusion-related LIC who underwent endovascular thrombectomy.
Methods:
A retrospective training cohort and a prospective validation cohort of patients with a large ischemic core were studied. The diffusion weighted imaging related radiomic features and pre-thrombectomy clinical features were collected. After the selection of relevant features, a nomogram predicting modified Rankin Scale score of 3-6 as an unfavorable outcome was established. The discriminatory value of the nomogram was evaluated with a receiver operating characteristic curve.
Results:
A total of 140 patients (mean age 66.3 ± 13.4 years, 35% female) were included in this study, consisting of a training cohort (n = 95) and a validation cohort (n = 45). The percentage of patients with an mRS scores of 0-2 was 30%, 0-3 was 40.7%, and 32.9% were dead. Age, National Institute of Health Stroke Scale (NIHSS) score, and two radiomic features, Maximum2DDiameterColumn and Maximum2DDiameterSlice, were identified as factors associated with unfavorable outcome in the nomogram. The nomogram demonstrated an area under the curve of 0.892 (95% confidence interval [CI], 0.812-0.947) in the training dataset and 0.872 (95% CI, 0.739-0.953) in the validation dataset.
Interpretation:
This nomogram, which includes age, NIHSS score, Maximum2DDiameterColumn, and Maximum2DDiameterSlice, may predict the risk of unfavorable outcome in patients with LIC caused by anterior circulation occlusion.
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