Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 12:32 AM
Ignite Modification Date:
2025-12-25 @ 12:32 AM
NCT ID:
NCT06214767
Brief Summary:
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.
Study:
NCT06214767
Study Brief:
Protocol Section:
NCT06214767