Abstract #3245

Harmonization of the multisite ALPS-index based on DTI-ALPS using the combined association test

Yuya Saito¹, Koji Kamagata¹, Toshiaki Taoka², Christina Andica¹, Wataru Uchida¹, Kaito Takabayashi¹, Mana Owaki^1,3, Seina Yoshida^1,3, Keigo Yamazaki^1,3, Shohei Fujita^1,4, Akifumi Hagiwara¹, Junko Kikuta¹, Toshiaki Akashi¹, Akihiko Wada¹, Keigo Shimoji¹, Masaaki Hori⁵, Shinji Naganawa⁶, and Shigeki Aoki¹

¹Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, ²Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Aichi, Japan, ³Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan, ⁴Department of Radiology, University of Tokyo, Tokyo, Japan, ⁵Department of Radiology, Toho University Omori Medical Center, Tokyo, Japan, ⁶Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan

Synopsis

Keywords: Data Processing, Data Processing, Diffusion MRI, ALPS-index, DTI-ALPS, Harmonization, multisite study

Diffusion tensor image analysis along the perivascular space (DTI-ALPS) is a promising noninvasive method for indirectly evaluating the glymphatic system. However, the ALPS-index calculated from diffusion MRI data collected at multiple sites should be harmonized to avoid site-related effects. We applied the combined association test (ComBat), which uses regression of covariates with empirical Bayes, for harmonizing the ALPS-index. ComBat mitigated site-related effects, increased statistical power to differentiate Alzheimer’s disease and cognitive normal, and improved the correlation between the ALPS-index and cognitive function. Thus, ComBat harmonization can be applied to evaluate the glymphatic system using the ALPS-index in large multisite studies.

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