Pušnik Luka, Serša Igor, Umek Nejc, Cvetko Erika, Snoj Žiga
Institute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Jožef Stefan Institute, Ljubljana, Slovenia.
Front Physiol. 2023 Feb 23;14:1070227. doi: 10.3389/fphys.2023.1070227. eCollection 2023.
Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal bundles in the central nervous system and smaller structures like peripheral nerves; however, their resolution for the depiction of nerve fascicular morphology is limited. Accordingly, high-field strength MRI and strong magnetic field gradients are needed to depict the fascicular pattern. The study aimed to quantify diffusion tensor indices with high-field strength MRI within different anatomical compartments of the median nerve and determine if they correlate with nerve structure at the fascicular level. Three-dimensional pulsed gradient spin-echo (PGSE) imaging sequence in 19 different gradient directions and value 1,150 s/mm was performed on a 9.4T wide-bore vertical superconducting magnet. Nine-millimeter-long segments of five median nerve samples were obtained from fresh cadavers and acquired in sixteen 0.625 mm thick slices. Each nerve sample had the fascicles, perineurium, and interfascicular epineurium segmented. The diffusion tensor was calculated from the region-average diffusion-weighted signals for all diffusion gradient directions. Subsequently, correlations between diffusion tensor indices of segmentations and nerve structure at the fascicular level (number of fascicles, fascicular ratio, and cross-sectional area of fascicles or nerve) were assessed. The acquired diffusion tensor imaging data was employed for display with trajectories and diffusion ellipsoids. The nerve fascicles proved to be the most anisotropic nerve compartment with fractional anisotropy 0.44 ± 0.05. In the interfascicular epineurium, the diffusion was more prominent in orthogonal directions with fractional anisotropy 0.13 ± 0.02. Diffusion tensor indices within the fascicles and perineurium differed significantly between the subjects ( < 0.0001); however, there were no differences within the interfascicular epineurium ( ≥ 0.37). There were no correlations between diffusion tensor indices and nerve structure at the fascicular level ( ≥ 0.29). High-field strength MRI enabled the depiction of the anisotropic diffusion within the fascicles and perineurium. Diffusion tensor indices of the peripheral nerve did not correlate with nerve structure at the fascicular level. Future studies should investigate the relationship between diffusion tensor indices at the fascicular level and axon- and myelin-related parameters.
扩散张量成像(DTI)是一种磁共振成像(MRI)技术,用于测量水扩散的各向异性。临床磁共振成像扫描仪能够显示中枢神经系统中较大轴突束以及周围神经等较小结构的结构完整性;然而,它们描绘神经束形态的分辨率有限。因此,需要高场强MRI和强磁场梯度来描绘束状模式。该研究旨在利用高场强MRI对正中神经不同解剖区域的扩散张量指数进行量化,并确定它们是否与束状水平的神经结构相关。在一台9.4T宽孔径垂直超导磁体上,采用19个不同梯度方向的三维脉冲梯度自旋回波(PGSE)成像序列,扩散值为1150 s/mm²。从新鲜尸体上获取5个正中神经样本,长度为9毫米,切成16个厚度为0.625毫米的切片。对每个神经样本的神经束、束膜和束间神经外膜进行分割。根据所有扩散梯度方向的区域平均扩散加权信号计算扩散张量。随后,评估分割的扩散张量指数与束状水平的神经结构(神经束数量、神经束比例以及神经束或神经的横截面积)之间的相关性。采集的扩散张量成像数据用于通过轨迹和扩散椭球体进行显示。神经束被证明是各向异性最强的神经区域,分数各向异性为0.44±0.05。在束间神经外膜中,正交方向的扩散更为显著,分数各向异性为0.13±0.02。不同受试者之间神经束和束膜内的扩散张量指数差异显著(P<0.0001);然而,束间神经外膜内没有差异(P≥0.37)。扩散张量指数与束状水平的神经结构之间没有相关性(P≥0.29)。高场强MRI能够描绘神经束和束膜内的各向异性扩散。周围神经的扩散张量指数与束状水平的神经结构不相关。未来的研究应调查束状水平的扩散张量指数与轴突和髓鞘相关参数之间的关系。