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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

Status: Recruiting
Location: See all (11) locations...
Intervention Type: Diagnostic test
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:

• 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.

Locations
Other Locations
China
Beijing Fangshan District Liangxiang Hospital
RECRUITING
Beijing
Beijing Haidian Hospital
RECRUITING
Beijing
Beijing Huaxin Hospital (The First Hospital of Tsinghua University)
RECRUITING
Beijing
Beijing Jingmei Group General Hospital
RECRUITING
Beijing
Beijing Longfu Hospital
RECRUITING
Beijing
Beijing Puren Hospital
RECRUITING
Beijing
Beijing Shijingshan Hospital
RECRUITING
Beijing
Beijing Shijitan Hospital, Capital Medical University
RECRUITING
Beijing
Beijing Sixth Hospital
RECRUITING
Beijing
Beijing Yanqing District Hospital
RECRUITING
Beijing
Peking Union Medical College Hospital
RECRUITING
Beijing
Contact Information
Primary
Shengde Li, MD
lishengde.medicine@qq.com
010-69156371
Time Frame
Start Date: 2026-07-15
Estimated Completion Date: 2028-12-31
Participants
Target number of participants: 1602
Treatments
BAD-related stroke cohort
Adults with acute ischemic stroke who meet predefined clinical-imaging diagnostic criteria for branch atheromatous disease-related stroke after central adjudication.
Non-BAD stroke cohort
Adults with acute ischemic stroke who do not meet diagnostic criteria for BAD-related stroke and are included as the comparator cohort for model development and/or external validation.
Related Therapeutic Areas
Sponsors
Collaborators: Beijing Zhongke Ruiyi Information Technology Co., Ltd., Institute of Automation, Chinese Academy of Sciences
Leads: Peking Union Medical College Hospital

This content was sourced from clinicaltrials.gov