Abstract:Objective: To analyze the application of multimodal cranial magnetic resonance imaging in refractory epilepsy. Methods: A total of 78 patients with refractory epilepsy diagnosed by postoperative pathological results in our hospital from March 2021 to May 2023 were selected as the observation objects of this study. All patients underwent head MRI and multimodal MRI examination. The detection rate of epileptogenic zone, the consistency with postoperative pathological results, the relationship with neurological deficits, the total effective rate of postoperative prognosis and the contribution weight of different sequences to epileptogenic zone were compared. Results: Using postoperative pathological findings as the gold standard, 34 cases of medial temporal lobe sclerosis, 20 cases of focal cortical dysplasia, and 24 cases of other aetiologies were detected. Multimodal MRI detected 32, 18, and 21 cases of these types respectively, 71 cases in sum, with a detection rate of 91.03%. Head MRI detected 26, 12, and 19 cases, respectively, 57 cases in sum, with a detection rate of 73.08%. The detection rate of multimodal MRI was significantly higher than that of head MRI (P<0.05). The sensitivity and positive predictive value of multimodal MRI were higher than those of head MRI, and the consistency between multimodal MRI and postoperative pathological results was better than that of head MRI. Compared with the normal side, the DTI-FA and MRS-NAA/Cr in the epileptogenic zone were increased, and the fMRI activation volume was decreased. The fMRI activation volume was negatively correlated with the neurological deficit score, and DTI-FA and MRS-NAA/Cr were positively correlated with the neurological deficit score (P<0.05). In the Engel classification, the total effective rate of patients with refractory epilepsy was 71 cases (91.03%). Multivariate regression analysis showed that the standardized β values of DTI-FA, MRS-NAA/Cr, fMRI activation volume, and conventional MRI positivity were -0.42, 0.38, 0.28, and 0.19, respectively, indicating that there were differences in the contribution weights of different sequences in the epileptogenic zone (P<0.05). Conclusion: The detection rate and consistency of multimodal MRI imaging technology are higher than those of head MRI, and the multimodal MRI-guided strategy can improve the prognosis of refractory epilepsy and the total effective rate. The contribution weights of different sequences are different, which provides a reference for the clinical diagnosis of refractory epilepsy.
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