Kornaropoulos Evgenios N, Winzeck Stefan, Rumetshofer Theodor, Wikstrom Anna, Knutsson Linda, Correia Marta M, Sundgren Pia C, Nilsson Markus
Clinical Sciences, Diagnostic Radiology, Lund University, Lund, Sweden.
Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom.
Front Neurol. 2022 Apr 26;13:837385. doi: 10.3389/fneur.2022.837385. eCollection 2022.
There are many ways to acquire and process diffusion MRI (dMRI) data for group studies, but it is unknown which maximizes the sensitivity to white matter (WM) pathology. Inspired by this question, we analyzed data acquired for diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) at 3T (3T-DTI and 3T-DKI) and DTI at 7T in patients with systemic lupus erythematosus (SLE) and healthy controls (HC). Parameter estimates in 72 WM tracts were obtained using TractSeg. The impact on the sensitivity to WM pathology was evaluated for the diffusion protocol, the magnetic field strength, and the processing pipeline. Sensitivity was quantified in terms of Cohen's for group comparison. Results showed that the choice of diffusion protocol had the largest impact on the effect size. The effect size in fractional anisotropy (FA) across all WM tracts was 0.26 higher when derived by DTI than by DKI and 0.20 higher in 3T compared with 7T. The difference due to the diffusion protocol was larger than the difference due to magnetic field strength for the majority of diffusion parameters. In contrast, the difference between including or excluding different processing steps was near negligible, except for the correction of distortions from eddy currents and motion which had a clearly positive impact. For example, effect sizes increased on average by 0.07 by including motion and eddy correction for FA derived from 3T-DTI. Effect sizes were slightly reduced by the incorporation of denoising and Gibbs-ringing removal (on average by 0.011 and 0.005, respectively). Smoothing prior to diffusion model fitting generally reduced effect sizes. In summary, 3T-DTI in combination with eddy current and motion correction yielded the highest sensitivity to WM pathology in patients with SLE. However, our results also indicated that the 3T-DKI and 7T-DTI protocols used here may be adjusted to increase effect sizes.
在群体研究中,有多种获取和处理扩散磁共振成像(dMRI)数据的方法,但尚不清楚哪种方法能最大程度地提高对白质(WM)病变的敏感性。受此问题启发,我们分析了系统性红斑狼疮(SLE)患者和健康对照(HC)在3T时进行扩散张量成像(DTI)和扩散峰度成像(DKI)(3T-DTI和3T-DKI)以及在7T时进行DTI所采集的数据。使用TractSeg获得了72条WM束的参数估计值。针对扩散协议、磁场强度和处理流程,评估了其对WM病变敏感性的影响。敏感性通过Cohen's 进行量化以用于组间比较。结果表明,扩散协议的选择对效应大小的影响最大。与DKI相比,通过DTI得出的所有WM束的分数各向异性(FA)效应大小高0.26,与7T相比,在3T时高0.20。对于大多数扩散参数而言,扩散协议造成的差异大于磁场强度造成的差异。相比之下,包含或排除不同处理步骤之间的差异几乎可以忽略不计,除了对涡流和运动引起的畸变进行校正有明显的积极影响。例如,对于3T-DTI得出的FA,通过纳入运动和涡流校正,效应大小平均增加了0.07。纳入去噪和吉布斯环去除后,效应大小略有降低(分别平均降低0.011和0.005)。在扩散模型拟合之前进行平滑处理通常会降低效应大小。总之,3T-DTI结合涡流和运动校正对SLE患者的WM病变具有最高的敏感性。然而,我们的结果还表明,此处使用的3T-DKI和7T-DTI协议可能需要调整以增加效应大小。