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Multi-Parameter MRI for Evaluating Glymphatic Impairment and White-Matter Abnormalities and Discriminating Refractory
Lu Qiu1, Miaoyan Wang1, Surui Liu2
1Department of Diagnostic Radiology, Affiliated Children's Hospital of Jiangnan University, Wuxi, China.
Objective:
To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE).
Materials And Methods:
We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson's partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation.
Results:
In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r ≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%).
Conclusion:
Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.
Insights
Pediatric refractory epilepsy (RE) shows impaired glymphatic function, linked to white-matter (WM) changes and seizure frequency. Multi-parameter MRI shows promise for distinguishing RE from drug-sensitive epilepsy (DSE).
Area of Science:
- Neuroimaging
- Epilepsy Research
- Glymphatic System Function
Background:
- Refractory epilepsy (RE) in children presents significant clinical challenges.
- Glymphatic system dysfunction is increasingly implicated in neurological disorders.
- Understanding the neuroimaging correlates of RE is crucial for diagnosis and management.
Purpose of the Study:
- To investigate glymphatic system impairment in pediatric refractory epilepsy (RE) using multi-parameter MRI.
- To correlate glymphatic function with white-matter (WM) abnormalities and clinical indicators in RE.
- To assess the potential of multi-parameter MRI in differentiating RE from drug-sensitive epilepsy (DSE).
Main Methods:
- Retrospective analysis of 70 patients with DSE and 26 with RE.
- Acquisition and analysis of diffusion tensor imaging along the perivascular space (DTI-ALPS) index, fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency.
- Tract-based spatial statistics, linear modeling, and Pearson's partial correlation for data analysis.
- Machine learning models with receiver operating characteristic (ROC) curve analysis for discrimination performance evaluation.
Main Results:
- Patients with RE exhibited decreased FA, increased MD, and reduced nodal efficiency compared to DSE patients, particularly in specific white matter tracts and brain networks.
- A significantly lower DTI-ALPS index was observed in the RE group.
- The DTI-ALPS index showed correlations with FA, MD, nodal efficiency, and seizure frequency.
- A multi-parameter MRI model achieved an ROC area of 0.83 for distinguishing RE from DSE.
Conclusions:
- Pediatric refractory epilepsy is associated with impaired glymphatic function, evidenced by multi-parameter MRI findings.
- Glymphatic impairment in RE correlates with white-matter abnormalities and seizure frequency.
- Multi-parameter MRI holds potential as a tool for differentiating pediatric refractory epilepsy from drug-sensitive epilepsy.
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