ArticleFrontiers in neurology2025
MRI-based radiomics model for differentiating focal cortical dysplasia from dysembryoplastic neuroepithelial tumor in epileptic children.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: Focal cortical dysplasia (FCD) and dysembryoplastic neuroepithelial tumor (DNET) are two major causes of intractable epilepsy, often with confusing imaging findings. This study aimed to develop magnetic resonance imaging (MRI)-based radiomics models for preoperative differentiation between FCD and DNET. Methods: This study included 169 patients who underwent epilepsy surgery and were pathologically diagnosed with FCD ( Results: The fusion radiomics model exhibited the best performance in differentiating between FCD and DNET, with an AUC of 0.894 (95% CI: 0.799-0.968) and an accuracy of 82.0%, which were superior to the individual models based on T1WI, T2WI, or T2-FLAIR images. In addition, the diagnostic performance of the fusion radiomics model was superior to that of the junior radiologist and comparable to that of the senior radiologist. Conclusion: The fusion radiomics model based on multi-sequence MRI can successfully differentiate FCD from DNET preoperatively, which contributes to appropriate surgical planning and satisfactory treatment outcomes.
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