Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA.
Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, USA.
Aging Dis. 2024 Aug 1;15(4):1885-1898. doi: 10.14336/AD.2023.0321-2.
The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was proposed to evaluate glymphatic system (GS) function. However, few studies have validated its reliability and reproducibility. Fifty participants' DTI data from the MarkVCID consortium were included in this study. Two pipelines by using DSI studio and FSL software were developed for data processing and ALPS index calculation. The ALPS index was obtained by the average of bilateral ALPS index and was used for testing the cross-vendor, inter-rater and test-retest reliability by using R studio software. The ALPS index demonstrated favorable inter-scanner reproducibility (ICC=0.77 to 0.95, P< 0.001), inter-rater reliability (ICC=0.96 to 1, P< 0.001) and test-retest repeatability (ICC=0.89 to 0.95, P< 0.001), offering a potential biomarker for in vivo evaluation of GS function.
血管周围空间(DTI-ALPS)扩散张量成像分析方法被提出用于评估神经胶质淋巴系统(GS)功能。然而,很少有研究验证其可靠性和可重复性。本研究纳入了来自 MarkVCID 联盟的 50 名参与者的 DTI 数据。使用 DSI studio 和 FSL 软件开发了两种数据处理和 ALPS 指数计算的方案。通过使用 R 工作室软件,ALPS 指数通过双侧 ALPS 指数的平均值来测试跨供应商、内部和测试-重测的可靠性。ALPS 指数显示出良好的扫描仪间可重复性(ICC=0.77 到 0.95,P<0.001)、内部可靠性(ICC=0.96 到 1,P<0.001)和测试-重测可重复性(ICC=0.89 到 0.95,P<0.001),为体内评估 GS 功能提供了一个潜在的生物标志物。