Bioengineering Department, Stanford University, Stanford, California, USA.
Radiology Department, Stanford University, Stanford, California, USA.
Epilepsia. 2022 Sep;63(9):2301-2311. doi: 10.1111/epi.17330. Epub 2022 Jun 25.
We explore the possibility of using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to discern microstructural abnormalities in the hippocampus indicative of mesial temporal sclerosis (MTS) at the subfield level.
We analyzed data from 57 patients with refractory epilepsy who previously underwent 3.0-T magnetic resonance imaging (MRI) including DTI as a standard part of presurgical workup. We collected information about each subject's seizure semiology, conventional electroencephalography (EEG), high-density EEG, positron emission tomography reports, surgical outcome, and available histopathological findings to assign a final diagnostic category. We also reviewed the radiology MRI report to determine the radiographic category. DTI- and NODDI-based metrics were obtained in the hippocampal subfields.
By examining diffusion characteristics among subfields in the final diagnostic categories, we found lower orientation dispersion indices and elevated axial diffusivity in the dentate gyrus in MTS compared to no MTS. By similarly examining among subfields in the different radiographic categories, we found all diffusion metrics were abnormal in the dentate gyrus and CA1. We finally examined whether diffusion imaging would better inform a radiographic diagnosis with respect to the final diagnosis, and found that dentate diffusivity suggested subtle changes that may help confirm a positive radiologic diagnosis.
The results suggest that diffusion metric analysis at the subfield level, especially in dentate gyrus and CA1, maybe useful for clinical confirmation of MTS.
我们探索使用弥散张量成像(DTI)和神经丝取向分散和密度成像(NODDI)来区分海马体亚区水平的内侧颞叶硬化(MTS)的微观结构异常的可能性。
我们分析了 57 例难治性癫痫患者的资料,这些患者先前接受过 3.0-T 磁共振成像(MRI)检查,包括 DTI,作为术前评估的标准部分。我们收集了每位患者的癫痫发作症状、常规脑电图(EEG)、高密度 EEG、正电子发射断层扫描报告、手术结果和可用的组织病理学发现的信息,以确定最终的诊断类别。我们还回顾了放射学 MRI 报告以确定放射学类别。在海马体亚区中获得了基于 DTI 和 NODDI 的指标。
通过检查最终诊断类别的亚区之间的扩散特征,我们发现 MTS 患者的齿状回的取向分散指数较低,轴突弥散度升高,而无 MTS 患者则没有这种情况。同样地,通过检查不同放射学类别的亚区之间的扩散特征,我们发现齿状回和 CA1 的所有扩散指标均异常。我们最后检查了扩散成像是否可以更好地告知放射学诊断与最终诊断之间的关系,发现齿状回弥散度提示存在细微变化,这可能有助于确认阳性放射学诊断。
结果表明,亚区水平的扩散指标分析,特别是在齿状回和 CA1,可能有助于临床确认 MTS。