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Intelligent Analysis and Clinical Validation of Cerebral Small Vessel Disease on Magnetic Resonance Imaging：A Multi-center Study

NCT06667635 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-10-31

No results posted yet for this study

Summary

Cerebral small vessel disease (CSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment. Early identification of CSVD is critical for early intervention and improve clinical outcomes. Magnetic resonance imaging (MRI) may represent as a sensitive and robust tool to detect early changes in brain subtle structures and functions. The study is to investigate the comprehensive evaluation by using AI in early diagnosis and management of CSVD.

Conditions

  • Cerebral Small Vessel Disease

Interventions

DIAGNOSTIC_TEST

Artificial intelligence

Artificial intelligence (AI) tools developed through the training of large amounts of image data can assist with the analysis and interpretation of neuroimaging data of cerebral small vascular disease（CSVD）.

Sponsors & Collaborators

  • Chinese PLA General Hospital

    lead OTHER

Principal Investigators

  • Xin Lou, MD/PhD · Chinese PLA General Hospital

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-11-01
Primary Completion
2030-09-01
Completion
2030-09-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06667635 on ClinicalTrials.gov