| Registry | NCT06214767 |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Enrollment | 1200 (Estimated) |
| Sponsor | Beijing Tiantan Hospital (Other); collaborators: RenJi Hospital, Beijing Chao Yang Hospital, Beijing Friendship Hospital, Guangzhou Red Cross Hospital, Affiliated Hospital of Guangdong Medical University, Shanxi Provincial People's Hospital, Qilu Hospital of Shandong University, Second Xiangya Hospital of Central South University, First Affiliated Hospital of Harbin Medical University |
| Conditions | Hemangioma, Cavernous, Central Nervous System |
| Dates | start 2020-09-01, primary completion 2025-09-30 (estimated), completion 2026-06-30 (estimated), first posted 2024-01-22, last updated 2025-07-30 |
| Locations | 1 site in China |
Related Papers Related Patents Related Grants Related Experts
AI Assistant Save
All trials for Hemangioma, Cavernous, Central Nervous System
The goal of this observational study is to evaluate and predict the risk associated with cerebral cavernous malformations (CCMs) using advanced artificial intelligence and radiomics analysis technology. The study focuses on individuals who have been diagnosed with cerebral cavernous malformations (CCMs).
Main Questions to Answer:
How can AI-based radiomics features predict the risk of complications (such as bleeding or epilepsy) in individuals with CCMs? What are the most reliable imaging and clinical markers for assessing the prognosis of CCMs? Participants will be required to undergo regular medical imaging to gather traditional and radiomics imaging features.
Participants will provide clinical data, including past medical history and results of any laboratory tests.
Participants will be part of a three-year follow-up observation to monitor the progression or stability of CCMs.
Contribution of biological samples for advanced testing might also be requested.
This study aims to create an AI-based decision-making tool that will guide clinicians in the management of CCM, with the potential to significantly improve patient outcomes through personalized medical approaches.
Sex: All
Inclusion Criteria: 1. Diagnosis of CCM based on brain MRI (T1, T2, SWI, and T2-Fluid-Attenuated Inversion Recovery). 2. Patients who have not received invasive treatment (surgery, radiotherapy, or multimodal therapy) in the past. 3. Patients undergoing surgery, or their legal guardians, agree to collect lesion tissue samples for related studies and sign a consent form for the collection of biological samples. 4. Patients under conservative observation, or their legal guardians, agree to collect imaging data for related research and sign a consent form for the use of imaging data. 5. Willingness to participate in long-term follow-up. Exclusion Criteria: 1. Patients with acute intracranial symptomatic hemorrhage requiring emergency surgery. 2. Patients with other intracranial diseases, such as aneurysms, tumors, or other vascular malformations, excluding developmental venous anomalies (DVA). 3. Patients with severe underlying diseases affecting their functional status and short-term life expectancy. 4. Patients with severe psychiatric or psychological disorders. 5. Incomplete clinical or imaging data.
| Facility | City | Country | Status |
|---|---|---|---|
| Capital Medical University Affiliated Beijing Tiantan Hospital | Beijing, Beijing Municipality | China | Recruiting |