AI Tool to Help Identify Early Stroke Caused by Branch Atheromatous Disease
Studies an AI model using scans and clinical data to detect BAD-related stroke in adults.
Plain-language title generated from the registry record
Registry title: Early Identification and Diagnosis of BAD-related Stroke
Key facts
- Where
- Beijing, ChinaSee the 11 sites
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Source: NCT07693816, who can take part
Where in China
- Beijing Fangshan District Liangxiang HospitalBeijing, ChinaTaking people
- Beijing Haidian HospitalBeijing, ChinaTaking people
- Beijing Huaxin Hospital (The First Hospital of Tsinghua University)Beijing, ChinaTaking people
- Beijing Jingmei Group General HospitalBeijing, ChinaTaking people
- Beijing Longfu HospitalBeijing, ChinaTaking people
- Beijing Puren HospitalBeijing, ChinaTaking people
- Beijing Shijingshan HospitalBeijing, ChinaTaking people
- Beijing Shijitan Hospital, Capital Medical UniversityBeijing, ChinaTaking people
- Beijing Sixth HospitalBeijing, ChinaTaking people
- Beijing Yanqing District HospitalBeijing, ChinaTaking people
- Peking Union Medical College HospitalBeijing, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Peking Union Medical College Hospital
- Trial code
- NCT07693816
- Record updated
- 9 July 2026
- Original description
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.Read full original descriptionShow less
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
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.
Inclusion: Age 18 to 80 years; Diagnosis of acute ischemic stroke; Time from symptom onset to enrollment ≤ 1 week; if the onset time is unknown, time from last known well to enrollment ≤ 1 week; Availability of required baseline clinical and neuroimaging assessments according to the study protocol; Written informed consent provided by the participant or legally authorized representative; Participants will be classified into the BAD-related stroke cohort if they meet all predefined BAD-related stroke diagnostic criteria, including:; A single isolated deep subcortical infarct on diffusion-weighted imaging; The presumed culprit perforating artery is the lenticulostriate artery or the paramedian pontine artery; For lenticulostriate artery territory infarction: a comma-shaped lesion extending from inferior to superior direction on coronal DWI or involvement of ≥3 axial DWI slices with 5-7 mm slice thickness; For paramedian pontine artery territory infarction: a lesion extending from the deep pons to the ventral surface of the pons on axial DWI; No ≥50% stenosis of the corresponding parent artery, confirmed by MRA, CTA, or DSA; Participants with acute ischemic stroke who do not meet BAD-related stroke criteria will be classified into the non-BAD acute ischemic stroke cohort.
Exclusion: Participation in another clinical study within 3 months before informed consent or current participation in another clinical study that may interfere with this study; Additional criteria that preclude classification as BAD-related stroke:; Intracranial hemorrhage, vascular malformation, aneurysm, brain abscess, malignant intracranial mass, or other non-ischemic intracranial lesion on baseline CT, MRI, MRA, CTA, or DSA; Pre-stroke modified Rankin Scale score ≥2; Definite cardioembolic source, including atrial fibrillation, myocardial infarction, clinically significant valvular heart disease, dilated cardiomyopathy, infective endocarditis, atrioventricular conduction disease, or heart rate <50 beats/min as defined in the protocol; Receipt of or planned acute-phase endovascular treatment after stroke onset; Stroke due to other determined causes, such as moyamoya disease, arterial dissection, or vasculitis; General exclusion criteria for all participants:; Life expectancy ≤6 months; Unable to tolerate MRI examination; Pregnancy or breastfeeding; Ipsilateral extracranial tandem artery stenosis ≥50%.