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基于血管周围间隙的弥散张量成像分析(DTI-ALPS)评估细胞外间隙扩散率和神经胶质淋巴功能的可重复性:多条件采集实验(CHAMONIX)研究中 Alps 指数的变化。

Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study.

机构信息

Department of Innovative Biomedical Visualization (iBMV), Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi, 466-8550, Japan.

Department of Radiology, Nagoya University, Nagoya, Aichi, Japan.

出版信息

Jpn J Radiol. 2022 Feb;40(2):147-158. doi: 10.1007/s11604-021-01187-5. Epub 2021 Aug 14.

Abstract

PURPOSE

The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method was developed to evaluate the brain's glymphatic function or interstitial fluid dynamics. This study aimed to evaluate the reproducibility of the DTI-ALPS method and the effect of modifications in the imaging method and data evaluation.

MATERIALS AND METHODS

Seven healthy volunteers were enrolled in this study. Image acquisition was performed for this test-retest study using a fixed imaging sequence and modified imaging methods which included the placement of region of interest (ROI), imaging plane, head position, averaging, number of motion-proving gradients, echo time (TE), and a different scanner. The ALPS-index values were evaluated for the change of conditions listed above.

RESULTS

This test-retest study by a fixed imaging sequence showed very high reproducibility (intraclass coefficient = 0.828) for the ALPS-index value. The bilateral ROI placement showed higher reproducibility. The number of averaging and the difference of the scanner did not influence the ALPS-index values. However, modification of the imaging plane and head position impaired reproducibility, and the number of motion-proving gradients affected the ALPS-index value. The ALPS-index values from 12-axis DTI and 3-axis diffusion-weighted image (DWI) showed good correlation (r = 0.86). Also, a shorter TE resulted in a larger value of the ALPS-index.

CONCLUSION

ALPS index was robust under the fixed imaging method even when different scanners were used. ALPS index was influenced by the imaging plane, the number of motion-proving gradient axes, and TE in the imaging sequence. These factors should be uniformed in the planning ALPS method studies. The possibility to develop a 3-axis DWI-ALPS method using three axes of the motion-proving gradient was also suggested.

摘要

目的

沿血管周围空间的扩散张量图像分析(DTI-ALPS)方法旨在评估大脑的脑淋巴功能或间质液动力学。本研究旨在评估 DTI-ALPS 方法的可重复性,以及成像方法和数据评估的修改的影响。

材料与方法

本研究纳入了 7 名健康志愿者。该测试-再测试研究使用固定的成像序列进行图像采集,并对成像方法和数据评估进行了修改,包括感兴趣区(ROI)的放置、成像平面、头部位置、平均、运动验证梯度的数量、回波时间(TE)以及不同的扫描仪。对上述条件变化的 ALPS 指数值进行了评估。

结果

固定成像序列的测试-再测试研究显示,ALPS 指数值具有很高的可重复性(组内相关系数=0.828)。双侧 ROI 放置具有更高的可重复性。平均次数和扫描仪的差异不会影响 ALPS 指数值。然而,成像平面和头部位置的修改会损害可重复性,运动验证梯度的数量会影响 ALPS 指数值。12 轴 DTI 和 3 轴扩散加权图像(DWI)的 ALPS 指数值具有良好的相关性(r=0.86)。此外,较短的 TE 会导致 ALPS 指数值增大。

结论

即使使用不同的扫描仪,固定成像方法下的 ALPS 指数也很稳健。ALPS 指数受成像平面、运动验证梯度轴数量以及成像序列中的 TE 影响。在规划 ALPS 方法研究时,应使这些因素保持一致。还提出了使用运动验证梯度的三个轴开发 3 轴 DWI-ALPS 方法的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c59c/8803717/fd795eab6885/11604_2021_1187_Fig1_HTML.jpg

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