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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 Matsumoto1,3, Oya Masaki1, Yoko Ikoma1, Kazunori Kawamura1, Ming-rong Zhang1, Hitoshi Shinotoh1,4, 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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