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Abstracts

Using MR Fingerprinting to Differentiate Between Epileptogenic and Non-epileptogenic Cortical Malformations

Abstract number : 3.37
Submission category : 5. Neuro Imaging / 5A. Structural Imaging
Year : 2024
Submission ID : 72
Source : www.aesnet.org
Presentation date : 12/9/2024 12:00:00 AM
Published date :

Authors :
Presenting Author: Ting-Yu Su, MS – Epilepsy Center, Neurological Institute, Cleveland Clinic

Ryuzaburo Kochi, MD, PhD – Wayne State University
Vineet Punia, MD – Cleveland Clinic
Spencer Morris, MS – Epilepsy Center, Neurological Institute, Cleveland Clinic
Xiaofeng Wang, PhD – Quantitative Health Science, Cleveland Clinic
Hiroatsu Murakami, MD, PhD – Epilepsy Center, Neurological Institute, Cleveland Clinic
Stephen E. Jones, MD, PhD – Imaging Institute, Cleveland Clinic
Imad Najm, MD – Cleveland Clinic
Andreas V. Alexopoulos, MD – Epilepsy Center, Neurological Institute, Cleveland Clinic
Dan Ma, PhD – Biomedical Engineering, Case Western Reserve University
Zhong Irene Wang, PhD – Epilepsy Center, Neurological Institute, Cleveland Clinic

Rationale: Focal cortical dysplasia (FCD) and polymicrogyria (PMG) are prevalent pathology in pharmacoresistant focal epilepsy. Conventional MRI may detect multi-focal FCDs and PMG; however, these abnormalities are not always epileptogenic. Magnetic resonance fingerprinting (MRF) is a non-invasive imaging technique offering efficient acquisition of multiparametric tissue property maps. We aimed to explore whether MRF could help distinguish between the epileptogenic and non-epileptogenic lesions in the face of multiple cortical malformations, which are rare but present significant surgical challenges.

Methods: We included four patients with multiple cortical malformations who underwent detailed pre-surgical assessments including Stereo-EEG (SEEG) and/or subsequent surgery. Additionally, 17 patients with histopathologically confirmed FCD type II and 45 age-and-gender-matched healthy controls (HC) were included for comparative analysis and normalization. All subjects underwent whole-brain 3T MRF acquisition using a Siemens 3T Prisma scanner. A 3D whole-brain MRF sequence (1 mm3 isotropic voxels) was used. Dictionary-based reconstruction of the MRF T1 and T2 maps was performed, the reconstruction of which generated T1 and T2 relaxometry maps. A 3D ROI was manually created for each lesion, and ROI-based z-score normalization using the HC data (N=45) was performed to minimize bias from lesion location. Gray matter (GM) and white matter (WM) metrics were examined separately. Two-sample Student t-test was used to assessed voxel-wise differences between the ROIs. Significance was determined at P < 0.05.
Neuro Imaging