Abstract #3500

Establishment of the automated diagnostic system using MR imaging for patients with progressive supranuclear palsy based on in vivo tau imaging

Hironobu Endo¹, Yuhei Takado¹, Kenji Tagai¹, Matsuoka Kiwamu¹, Manabu Kubota², Yasunori Sano¹, Keisuke Takahata¹, Maiko Ono¹, Chie Seki¹, Hideki Matsumoto^1,3, Oya Masaki¹, Yoko Ikoma¹, Kazunori Kawamura¹, Ming-rong Zhang¹, Hitoshi Shinotoh^1,4, Kenichi Oishi⁵, Susumu Mori⁵, Takahiko Tokuda¹, Hitoshi Shimada¹, and Makoto Higuchi¹

¹National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, ²Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan, ³Department of Oral and Maxillofacial Radiology, Tokyo Dental College, Tokyo, Japan, ⁴Neurology Clinic Chiba, Chiba, Japan, ⁵Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States

MRI-based diagnostic marker is desired for recruiting patients with progressive supranuclear palsy (PSP) for clinical trials of tau-targeting therapies. Elastic Net analysis was applied to a set of 144 MRI-VOIs (MR images-volumes of interest) to determine the VOIs useful for discriminating tau-positive PSP from healthy controls. The MRI-PSP score, calculated from the analysis, demonstrated 90.0% and 91.1% accuracy for training and validation data. The PSP rating scale correlated well with the MRI-PSP score. The MRI-PSP score calculated by an unbiased analysis system would be a promising diagnostic marker and can potentially predict disease severity in PSP.

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