High-Risk Intracranial Atherosclerotic Stenosis Despite Aggressive Medical Treatment: Protocol for a Prospective
Tao Wang1,2, Jichang Luo1,2, Changyi Liu3
1China International Neuroscience Institute (China-INI), Beijing, China.
Insights
This study identifies multimodal imaging predictors for high-risk intracranial atherosclerotic disease (ICAD) patients who experience recurrent strokes despite medical treatment. It aims to refine stroke risk stratification beyond traditional stenosis measurements.
Area of Science:
- Neurology
- Cardiovascular Imaging
- Stroke Medicine
Background:
- Intracranial atherosclerotic disease (ICAD) is a major cause of ischemic stroke, particularly in Asia.
- Aggressive medical therapy for ICAD still results in high rates of recurrent stroke, especially with severe stenosis.
- Current risk stratification relies mainly on luminal stenosis, but plaque characteristics and hemodynamics are emerging as crucial factors.
Purpose of the Study:
- To identify multimodal imaging predictors of high-risk ICAD patients refractory to medical treatment.
- To develop a refined risk stratification model for ICAD using advanced imaging techniques.
- To improve stroke risk assessment in patients with symptomatic intracranial atherosclerosis.
Main Methods:
- Prospective, longitudinal, nested case-control study of 400 symptomatic ICAD patients (50-99% stenosis).
- Multimodal imaging assessment including lumen stenosis, plaque characteristics, and hemodynamic features.
- Aggressive medical management with antiplatelet therapy and cardiovascular risk control.
Main Results:
- The study is designed to identify imaging markers predictive of recurrent ischemic stroke or death within 1 year.
- It will analyze associations between imaging features and primary outcomes (ischemic stroke/death) and secondary endpoints (any stroke, mortality, functional outcome).
- Results will provide insights into novel predictors beyond traditional stenosis measures.
Conclusions:
- This research will establish a refined risk stratification model for ICAD based on multimodal imaging.
- Findings are expected to enhance the identification of patients at high risk for recurrent stroke.
- The study aims to improve clinical decision-making and patient outcomes in ICAD management.
Introduction:
Intracranial atherosclerotic disease (ICAD) is one of the most important etiologies of ischemic stroke, especially in Asia. Although medical treatment was recommended as the first-line therapy for ICAD, the recurrent stroke rate was still high in severe stenosis of ICAD despite aggressive medical treatment. Traditionally, the degree of luminal stenosis is used as the principal index for stroke risk stratification in patients with ICAD, while recent evidence suggested that symptomatic atherosclerotic plaques were characterized by plaque features and hemodynamics. This prospective, longitudinal, and nested case-control study aims to identify multimodal imaging predictors of high-risk patients with ICAD refractory to medical treatment and explore a refined risk stratification model based on the above multimodal imaging predictors.
Methods:
This prospective, longitudinal, and nested case-control study includes 400 symptomatic patients with ICAD with 50-99% of stenosis treated with aggressive medical therapy. All patients who meet the eligibility criteria are assessed by multimodal imaging examination from three aspects, including lumen stenosis, plaque characteristics, and hemodynamic features. The enrolled patients receive aggressive medical management, including antiplatelet therapy and cardiovascular risk control. The primary outcome is ischemic stroke or death attributable to the lesion of the target vessel within 1 year. The secondary endpoints are (1) any stroke or death; (2) all-cause mortality; (3) any stroke out of the territory of the responsible lesion; (4) functional outcome with the modified Rankin Scale (mRS).
Ethics And Dissemination:
This study has been approved by the ethics committee of our center ([2021]083) and has been prospectively registered (Registration No: ChiCTR2100048832). Study findings will be disseminated through peer-reviewed publications and presentations at scientific meetings.
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