Reproducibility of automated calculation technique for diffusion tensor image analysis along the perivascular space
Reproducibility of automated calculation technique for diffusion tensor image analysis along the perivascular space
复制标题
沿血管周围空间的扩散张量图像分析的自动计算技术的再现性
DOI:
10.1007/s11604-023-01415-0
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发表时间:
2023
影响因子:
2.1
通讯作者:
Aoki Shigeki
中科院分区:
文献类型:
--
作者:
Saito Yuya;Kamagata Koji;Andica Christina;Uchida Wataru;Takabayashi Kaito;Yoshida Seina;Nakaya Moto;Tanaka Yuya;Kamiyo Satoru;Sato Kanako;Nishizawa Mitsuo;Akashi Toshiaki;Shimoji Keigo;Wada Akihiko;Aoki Shigeki
PurposeThe method of diffusion tensor image analysis along the perivascular space (DTI-ALPS) was gathering attention to evaluate the brain’s glymphatic function or interstitial fluid dynamics. However, to the best knowledge, no study was conducted on the reproducibility of these automated methods for ALPS index values. Therefore, the current study evaluated the ALPS index reproducibility based on DTI-ALPS using two major automated calculation techniques in scan and rescan of the same subject on the same day.Materials and methodsThis study included 23 participants, including 2 with Alzheimer’s disease, 15 with mild cognitive impairment, and 6 with cognitive normals. Scan and rescan data of diffusion magnetic resonance images were obtained, as well as automatically index for ALPS (ALPS index) and ALPS index maintaining tensor vector orientation information (vALPS index) with region of interest on the template fractional anisotropy map calculated by FSL software.These ALPS indices were compared in terms of scan and rescan reproducibility.ResultsThe absolute difference in ALPS-index values between scan and rescan was larger in the ALPS index than in the vALPS index by approximately 0.6% as the relative difference. Cohen’sdfor the left and right ALPS indices between methods were 0.121 and 0.159, respectively.ConclusionThe vALPS index based on DTI-ALPS maintaining tensor vector orientation information has higher reproducibility than the ALPS index. This result encourages a multisite study on the ALPS index with a large sample size and helps detect a subtle pathological change in the ALPS index.
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影响因子:
4.8
作者:
Zhang Y;Zhang R;Ye Y;Wang S;Jiaerken Y;Hong H;Li K;Zeng Q;Luo X;Xu X;Yu X;Wu X;Yu W;Zhang M;Huang P
通讯作者:
Huang P
影响因子:
2.1
作者:
Taoka T;Ito R;Nakamichi R;Kamagata K;Sakai M;Kawai H;Nakane T;Abe T;Ichikawa K;Kikuta J;Aoki S;Naganawa S
通讯作者:
Naganawa S
影响因子:
2.8
作者:
C. Toh;M. Castillo
通讯作者:
M. Castillo
影响因子:
2.8
作者:
H. Siebner;H. G. von Einsiedel;B. Conrad
通讯作者:
B. Conrad
影响因子:
3.4
作者:
Nguchu BA;Zhao J;Wang Y;de Dieu Uwisengeyimana J;Wang X;Qiu B;Li H
通讯作者:
Li H