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Radiologic classification of malformations of cortical development
A J Barkovich1, R I Kuzniecky, W B Dobyns
1Section of Neuroradiology, Department of Radiology, L-371, University of California at San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143-0628, USA. jimb@radiology.ucsf.edu
Current Opinion in Neurology
|March 23, 2001
Summary
Malformations of cerebral cortical development are common birth defects. A new classification framework aids in understanding these disorders, guiding prognosis, genetic testing, and research into molecular causes.
Area of Science:
- Neuroscience
- Developmental Biology
- Medical Genetics
Background:
- Malformations of cerebral cortical development are frequent congenital disorders.
- These conditions can lead to significant neurodevelopmental impairments, including delayed development, epilepsy, focal neurological deficits, and intellectual disability.
- Accurate classification is crucial for effective patient management, genetic diagnostics, and etiological research.
Purpose of the Study:
- To establish a rational classification system for malformations of cerebral cortical development.
- To provide a framework for prognosis, genetic counseling, and molecular investigation.
- To integrate neuroimaging findings into the classification system.
Main Methods:
- Developing a classification framework based on the primary pathogenetic mechanism: abnormal cell proliferation/apoptosis, neuronal migration, or cortical organization (orientation).
- Incorporating subclassifications based on malformation topology, associated central nervous system (CNS) or extra-CNS anomalies, and molecular genetic findings.
- Utilizing modern neuroimaging studies to identify characteristics that support and refine the classification system.
Main Results:
- A proposed classification framework categorizes cortical malformations based on fundamental developmental processes.
- Subclassifications allow for detailed characterization considering anatomical and genetic factors.
- Neuroimaging features are identified as key correlates for this classification system.
Conclusions:
- The proposed framework offers a structured approach to classifying cerebral cortical malformations.
- This rational classification facilitates improved diagnostic accuracy, genetic counseling, and targeted research.
- Integration of neuroimaging data enhances the clinical utility and validity of the classification.