Predicting Epileptogenic Tubers in Patients with Tuberous Sclerosis Complex
NCT ID: NCT06789419
Last Updated: 2025-01-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
112 participants
OBSERVATIONAL
2016-07-01
2023-06-01
Brief Summary
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Using MRI data from training datasets, we developed a novel noninvasive fusion model that combines a risk model based on lesion network mapping with a prediction model using brain functional connectivity and random forest algorithms. A retrospective analysis was conducted on TSC patients with epilepsy who underwent resective surgery. Tubers were classified as true-ETs, false-ETs, or true non-ETs based on resection locations and postoperative seizure-freedom. The model calculated and ranked the ET probability for each tuber for every patient, and its accuracy was assessed based on postoperative seizure outcomes.
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Detailed Description
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Conditions
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Study Design
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OTHER
RETROSPECTIVE
Study Groups
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TSC
TSC
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
6 Months
ALL
No
Sponsors
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Beijing Children's Hospital
OTHER
Responsible Party
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Shuli Liang
Director
Other Identifiers
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TSC-MRI
Identifier Type: -
Identifier Source: org_study_id
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