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