Multiparametric Characterization of Focal Cortical Dysplasia Using Three-Dimensional MR Fingerprinting
Motivation: Focal cortical dysplasia (FCD) is a common pathology in medically intractable focal epilepsy. Detecting and subtyping FCD through visual inspection of conventional MRI can be challenging. Goal(s): We aimed to develop a multiparametric, quantitative approach for FCD characterization, based on MR fingerprinting (MRF). Approach: High-resolution 3D MRF scans were performed in 33 epilepsy patients with FCD, 60 normal controls and 26 disease controls. A machine-learning (ML) framework based on MRF was developed to automatically classify FCD from normal cortex and separating FCD subtypes. Results: MRF-based ML models showed high accuracies, with performances superior to the yields of clinical review. Impact: Our approach contributes to noninvasive epilepsy presurgical evaluation, as well as an integrated clinical-pathological-imaging understanding of the FCD spectrum.
Authors
- Ting‐Yu Su (ORCID: https://orcid.org/0000-0001-5054-9163)
- Balu Krishnan (ORCID: https://orcid.org/0000-0002-1897-3359)
- Irène Wang (ORCID: https://orcid.org/0000-0002-3829-5217)
- Ingmar Blümcke (ORCID: https://orcid.org/0000-0001-8676-0788)
- Ken Sakaie (ORCID: https://orcid.org/0000-0002-5633-4494)
- Siyuan Hu (ORCID: https://orcid.org/0000-0003-3137-0605)
- Joon Yul Choi (ORCID: https://orcid.org/0000-0002-2428-0209)
- Imad Najm (ORCID: https://orcid.org/0000-0001-5192-2089)
- Dan Ma (ORCID: https://orcid.org/0000-0003-1664-9579)
- Stephen E. Jones (ORCID: https://orcid.org/0000-0001-6511-9078)
- Xiaofeng Wang (ORCID: https://orcid.org/0000-0001-8212-6931)
- Zheng Ding (ORCID: https://orcid.org/0009-0003-4358-0295)
- Katherine Chiprean
- Hiroatsu Murakami (ORCID: https://orcid.org/0000-0001-7349-3182)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1306
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00