Related Experiment Video
Updated: May 4, 2026

Imaging In-Stent Restenosis: An Inexpensive, Reliable, and Rapid Preclinical Model
Published on: September 14, 2009
Prognostic Factors for In-stent Restenosis After Cerebrovascular Stent Implantation among Ischemic Stroke Patients
Shiliang Xia1, JIaxing You2, Delong Wang1
1Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China.
Insights
Hypertension and high neutral-lymphocyte ratio (NLR) are key risk factors for in-stent restenosis after cerebrovascular stenting. Patients with vertebral artery stenosis face a higher risk of restenosis compared to those with internal carotid artery stenosis.
Area of Science:
- Neurology
- Cardiovascular Medicine
- Medical Technology
Background:
- Cerebrovascular stent implantation is a common revascularization treatment.
- In-stent restenosis significantly impacts the effectiveness of cerebrovascular stenting.
- Identifying factors influencing restenosis is crucial for improving patient outcomes.
Purpose of the Study:
- To prospectively investigate clinical factors associated with in-stent restenosis after cerebrovascular stent implantation.
- To identify predictors of in-stent restenosis in ischemic stroke patients.
Main Methods:
- A prospective study of 251 ischemic stroke patients undergoing cerebrovascular stenting.
- Outcome measured: in-stent restenosis within 12 months post-procedure.
- Statistical analyses included univariate logistic regression, stepwise regression, and ROC curves.
Main Results:
- Hypertension (OR 2.15), neutral-lymphocyte ratio (NLR) (OR 1.10), and vertebral artery stenosis (OR 3.30) were associated with increased restenosis risk.
- Stepwise analysis identified hypertension, NLR, and stenosis location as independent predictors.
- The predictive model showed an AUC of 0.736 for general stenting, 0.621 for vertebral, and 0.775 for internal carotid artery stenting.
Conclusions:
- Hypertension and NLR are potential predictive factors for in-stent restenosis.
- Vertebral artery stenosis poses a higher restenosis risk than internal carotid artery stenosis.
- Further research is needed to validate these findings and discover additional predictive factors.
Introduction:
In-stent restenosis (ISR) critically impacts the efficacy of cerebrovascular stent implantation. We investigated the influence of clinical factors on the ISR.
Methods:
A total of 251 patients with ischemic stroke undergoing cerebrovascular stenting from November 2014 to March 2020 were recruited. The primary outcome was ISR within 12 months. Predictors were selected using the least absolute shrinkage and selection operator regression and logistic regression to build a nomogram. Model discriminative ability, calibration, and clinical utility were evaluated via the area under receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis.
Results:
Multivariate analysis identified coronary artery disease (OR, 3.35; 95% CI, 1.26-9.21; P=0.016), neutrophil-to-lymphocyte ratio (NLR, OR, 1.84; 95% CI, 1.50-2.37; P<0.001), and residual stenosis (OR, 1.08; 95% CI, 1.02-1.15; P=0.012) as independent risk factors for ISR. Hypertension, coronary artery disease, NLR, and residual stenosis were incorporated into the nomogram model. The model demonstrated an AUC of 0.862 (95% CI 0.783-0.929) upon internal validation. Subgroup analyses revealed no statistically significant heterogeneity stratified by age, gender, and stenosis location (all P≥0.1).
Discussion:
Hypertension and NLR were potential predictive factors for in-stent restenosis after cerebrovascular stent implantation. In addition, patients with vertebral artery stenosis had a higher risk of in-stent restenosis than those with internal carotid artery stenosis.
Conclusion:
Coronary artery disease, NLR, and residual stenosis were potential predictive factors for ISR after cerebrovascular stent implantation. The developed nomogram helps in identifying patients at high risk for ISR.
Related Concept Videos
Aneurysm III: Interprofessional Care
Hemorrhagic Stroke l: Introduction
Hemorrhagic Stroke ll: Pathophysiology

