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State of the Art Cranial Ultrasound Imaging in Neonates
Published on: February 2, 2015
Imaging of malformations of cortical development
Nadia Colombo1, Noriko Salamon, Charles Raybaud
1Department of Neuroradiology, Niguarda Ca' Granda Hospital, Milano, Italy. nadia.colombo@ospedaleniguarda.it
Epileptic Disorders : International Epilepsy Journal with Videotape
|September 2, 2009
Summary
Malformations of cortical development (MCD) are increasingly identified as a cause of epilepsy. Advanced MRI techniques improve the detection and surgical candidacy assessment for focal cortical dysplasias (FCD).
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Malformations of cortical development (MCD) are a significant cause of epilepsy, particularly drug-resistant partial epilepsy (DRPE).
- Modern neuroimaging, especially Magnetic Resonance Imaging (MRI), has enhanced the diagnosis and surgical management of MCD.
- Focal cortical dysplasias (FCD) types I and II are specific MCD subtypes requiring precise diagnostic criteria.
Purpose of the Study:
- To review neuroimaging findings for FCD types I and II.
- To discuss the role of structural MRI, PET, MEG, and diffusion tensor imaging (DTI) in FCD diagnosis.
- To highlight advancements in identifying subtle FCD lesions.
Main Methods:
- Review of neuroimaging techniques including structural MRI, PET, co-registered PET/MRI, MEG, and DTI.
- Analysis of morphological MRI features specific to FCD types I and II.
- Evaluation of the utility of functional imaging and advanced diffusion techniques.
Main Results:
- High-resolution MRI aids in identifying MCD, guiding surgical treatment for DRPE.
- Subtle FCDs, previously undetected, are now recognizable with advanced MRI.
- PET, MEG, and DTI offer complementary information for FCD characterization.
Conclusions:
- Neuroimaging is crucial for diagnosing MCD and guiding epilepsy surgery.
- Continued research into advanced imaging modalities like DTI is essential for understanding FCD microstructure.
- Accurate FCD detection and characterization improve patient outcomes in epilepsy management.
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