Baseline [F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson's disease.

Journal: NPJ Parkinson's disease
Published Date: May 12, 2025

Abstract

We aimed to develop a convolutional neural network (CNN) model with multi-task learning to predict the onset of levodopa-induced dyskinesia (LID) in patients with Parkinson's disease (PD) using baseline [F]FP-CIT PET images. In this retrospective, single-center study, 402 patients were classified based on whether they developed LID within 5 years after starting levodopa (within 5 years: n = 134; beyond 5 years or none: n = 268). The proposed CNN model achieved a mean AUROC ± SD of 0.666 ± 0.036. Model-derived probabilities were also incorporated into a Cox regression model, yielding a mean concordance index (C-index ± SD) of 0.643 ± 0.046, significantly outperforming the model based on specific/nonspecific binding ratios of striatal subregions (C-index = 0.392 ± 0.036) in four of five test configurations. These results suggest that model-extracted features from [F]FP-CIT PET carry prognostic value for LID, although further performance improvements are needed for clinical application.

Authors

  • Grace Yoojin Lee
    Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Jongjun Won
  • Sunwoo Kim
    Discipline of Information & Communication Technology, School of Technology, Environments & Design, University of Tasmania Sandy Bay Campus, Launceston, Australia.
  • Sungyang Jo
    From the Departments of Neurology (K.W.P., E.-J.L., S.J., M.J., J.Y.D., D.-W.K., S.J.C.) and Convergence Medicine (J.S.L., J.J., J.-G.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul; Electronics and Telecommunications Research Institute (J.S.L.), Gwangju; Promedius Inc (J.J.), Seoul; and Department of Neurology (N.C.), Heavenly Hospital, Goyang, Korea.
  • Jihyun Lee
    SCH Media Labs, Soonchunhyang University, Asan, Chungnam, South Korea.
  • Sangjin Lee
    Department of Cardiovascular Surgery, Spectrum Health Grand Rapids, Grand Rapids, MI, USA.
  • Jae Seung Kim
    Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. jaeskim@amc.seoul.kr.
  • Changhwan Sung
    Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Korea.
  • Jungsu S Oh
    Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
  • Jihwan Kim
    Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
  • Namkug Kim
    Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Sun Ju Chung
    From the Departments of Neurology (K.W.P., E.-J.L., S.J., M.J., J.Y.D., D.-W.K., S.J.C.) and Convergence Medicine (J.S.L., J.J., J.-G.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul; Electronics and Telecommunications Research Institute (J.S.L.), Gwangju; Promedius Inc (J.J.), Seoul; and Department of Neurology (N.C.), Heavenly Hospital, Goyang, Korea. sjchung@amc.seoul.kr.

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