FP-CIT SPECT Ratios Improved Parkinsonism Classification
TL;DR: A 2026 study in European Journal of Nuclear Medicine and Molecular Imaging found that semiquantitative [123I]FP-CIT SPECT metrics, especially caudate-to-putamen and sensorimotor-to-limbic ratios, helped distinguish Parkinson’s disease from atypical parkinsonian syndromes, while a random forest classifier remained more useful as decision support than as a standalone diagnosis. Key Findings 706-patient cohort: The study included …
