Application of preoperative MRI lesion identification algorithm in pediatric and young adult focal cortical dysplasia-related epilepsy
We validate the performance of MELD automated, interpretable FCD classifier in a diverse pediatric cohort with FCD-PRE. We also demonstrate the classifier has relatively good performance in an independent FCD Type II cohort with pediatric-onset epilepsy, as well as simulated real-world value in a pediatric population with MRI-negative PRE.
Authors
- Venkata Sita Priyanka Illapani
- Chima Oluigbo (ORCID: https://orcid.org/0000-0002-7851-3792)
- Hua Xie (ORCID: https://orcid.org/0000-0003-3462-0147)
- William D. Gaillard (ORCID: https://orcid.org/0000-0001-5709-0033)
- Taha Gholipour (ORCID: https://orcid.org/0000-0002-8751-0593)
- Nathan T. Cohen (ORCID: https://orcid.org/0000-0002-1410-3487)
- Kara Hom
- L. Gilbert Vezina
Institutions
- George Washington University Hospital (US)
- Children's National (US)
- Rady Children's Hospital-San Diego (US)
Publication Details
- Journal
- Seizure
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1016/j.seizure.2024.09.024
- Citations
- 7
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- American Academy of Neurology
- Children's National Hospital
- National Institutes of Health
- Intellectual and Developmental Disabilities Research Center
- School of Medicine and Health Sciences, George Washington University
- National Institute of Child Health and Human Development
- National Center for Advancing Translational Sciences