RecruitingNCT07693816

Early Identification and Diagnosis of BAD-related Stroke

Establishment and Validation of a Novel Intelligent Diagnostic Model for BAD-related Stroke Based on the Fusion of Multi-source Clinical Image Information and Its Promotion


Sponsor

Peking Union Medical College Hospital

Enrollment

1,602 participants

Start Date

Jul 15, 2026

Study Type

OBSERVATIONAL

Conditions

Summary

Branch atheromatous disease (BAD)-related stroke is an important subtype of acute ischemic stroke involving penetrating arteries and is associated with early neurological deterioration. Early recognition and standardized diagnosis remain challenging in routine clinical practice because clinical symptoms are often non-specific and the diagnosis requires integrated clinical and imaging assessment. This multicenter prospective observational study will collect demographic, clinical, laboratory, electrocardiographic, ultrasound, and multimodal neuroimaging data from adults with acute ischemic stroke within 1 week of symptom onset. Participants will receive routine clinical care determined by their treating physicians; no treatment or management strategy will be assigned by the study protocol. An independent central clinical-imaging adjudication committee will classify participants as BAD-related stroke or non-BAD acute ischemic stroke according to predefined diagnostic criteria. The study aims to develop and externally validate artificial intelligence-assisted screening and diagnostic models for BAD-related stroke and to evaluate their discrimination, calibration, and potential clinical utility.


Eligibility

Min Age: 18 YearsMax Age: 80 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Multisource clinical-imaging artificial intelligence diagnostic assessment for people with acute ischemic stroke, branch atheromatous disease, and other related conditions. The study is currently recruiting participants at 11 locations.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTMultisource clinical-imaging artificial intelligence diagnostic assessment

The diagnostic assessment consists of artificial intelligence-assisted analysis of routinely collected clinical, laboratory, cardiovascular, and multimodal neuroimaging data to estimate the probability of BAD-related stroke. The model output will be compared with an independent central clinical-imaging reference diagnosis. The model will not determine treatment assignment in this observational study.


Locations(11)

Beijing Fangshan District Liangxiang Hospital

Beijing, China

Beijing Haidian Hospital

Beijing, China

Beijing Huaxin Hospital (The First Hospital of Tsinghua University)

Beijing, China

Beijing Jingmei Group General Hospital

Beijing, China

Beijing Longfu Hospital

Beijing, China

Beijing Puren Hospital

Beijing, China

Beijing Shijingshan Hospital

Beijing, China

Beijing Shijitan Hospital, Capital Medical University

Beijing, China

Beijing Sixth Hospital

Beijing, China

Beijing Yanqing District Hospital

Beijing, China

Peking Union Medical College Hospital

Beijing, China

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NCT07693816


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