Classifying Parkinson’s Disease Progression via Latent Trajectories of Striatal Specific Binding Ratios from I-123 FP-CIT SPECT in Association with Levodopa-Induced Dyskinesia

Key Points

• The aim is to classify the progression of Parkinson’s disease by analyzing imaging trajectories and their relationship with levodopa-induced dyskinesia.
• Conducted longitudinal imaging using I-123 FP-CIT SPECT.
• Analyzed striatal specific binding ratios over time.
• Integrated clinical characteristics with imaging data.
• Found contemporaneous associations between imaging data and LID occurrence.
• Identified potential clinically relevant insights for disease progression classification.