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 Type
OBSERVATIONAL
Enrollment
1,200
Capital Medical University Affiliated Beijing Tiantan Hospital
Beijing, Beijing Municipality, China
RECRUITINGFunctional Outcome:mRS
Last follow-up with a modified Rankin Scale (mRS) score greater than 2 persisting for at least one year
Time frame: 3 years
Radiological Outcome:Bleeding
Bleeding is defined as the presence of new hemorrhage identified on radiological imaging in patients.
Time frame: 3 years
Radiological Outcome:Increase in lesion volume
An increase in lesion volume is defined as a 20% or more increase in the size of the lesion, as shown by follow-up imaging compared to previous measurements.
Time frame: 3 years
Syndrome Outcome:Drug-resistant epilepsy
Epilepsy is considered drug-resistant when a person has failed to achieve sustained seizure freedom despite adequate trials of two appropriate and well-tolerated antiepileptic drug regimens, either as monotherapies or in combination.
Time frame: 3 years
Syndrome Outcome:Focal neurological deficits
Focal neurological deficits can manifest as weakness, numbness, loss of coordination, or changes in sensation specific to the affected area, and are typically indicative of underlying neurological conditions or injuries.
Time frame: 3 years
All-cause mortality
All-cause mortality refers to the proportion of deaths due to any cause within the follow-up period.
Time frame: 3 years
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