Objective: To investigate the value of 18F-FDG PET in the diagnosis and differential diagnosis of Parkinson's disease (PD) and multiple system atrophy with parkinsonism-predominant (MSA-P). Methods: Total 96 patients with PD and 52 patients with MSA-P from The First Hospital of Jilin University from May 2019 to December 2022 were included, and 18F-FDG PET data were collected from all patients and 18F-FDG PET data was analyzed using CortexID Suite software. The diagnostic and differential diagnostic efficacy of PD and MSA-P of 18F-FDG PET was evaluated using the receiver operating characteristic (ROC) curve and area under the curve (AUC). The Z-scores of 26 brain regions were obtained, and the brain glucose metabolism patterns of patients with PD and MSA-P were finally obtained by comparing with the normal control database. The consistency between 18F-FDG PET and "gold standard" diagnosis was evaluated using the Kappa test. Results: 1) Metabolic pattern: compared with the normal control database, the PD group showed significantly hypermetabolism in pons (t=2.851, P=0.005), cerebellum (t=2.295, P=0.024) and mesial temporal (t=5.850, P=0.000), and significantly hypometabolism in lateral occipital (t=-7.116, P=0.000), superior parietal (t=-13.466, P=0.000), inferior parietal (t=-21.838, P=0.000), precuneus (t=-7.121, P=0.000), sensorimotor (t=-6.931, P=0.000) and lateral prefrontal (t=-6.778, P=0.000); while the MSA-P group showed significant hypometabolism in pons (t=-8.364, P=0.000), cerebellum (t=-9.900, P=0.000), superior parietal (t=-4.830, P=0.000) and inferior parietal (t=-11.287, P=0.000), and hypermetabolism in the primary visual (t=5.579, P=0.000). 2) Diagnosis and differential diagnosis: compared with the MSA-P group, the PD group had lower Z-score in sensorimotor (t=-0.646, P=0.008), precuneus (t=-4.516, P=0.000), superior parietal (t=-4.611, P=0.000), inferior parietal (t=-5.903, P=0.000), lateral occipital (t=-5.088, P=0.000) and primary visual (t=-3.218, P=0.002), while the Z-scores in mesial temporal (t=3.718, P=0.002), cerebellum (t=9.880, P=0.000) and pons (t=9.520, P=0.000) were higher. The ROC curve was drew for the differential diagnostic efficacy of 18F-FDG PET through the six brain regions with statistical difference and P=0.000 between the 2 groups, the result showed that the AUC of cerebellum (Z=3.595, P=0.000; Z=2.942, P=0.003; Z=2.942, P=0.003; Z=3.519, P=0.000), pons (Z=3.363, P=0.001; Z=3.237, P=0.000; Z=2.376, P=0.018; Z=3.012, P=0.003) and the combination of the six brain regions (Z=4.354, P=0.000; Z=4.242, P=0.000; Z=3.711, P=0.000; Z=4.233, P=0.000) were bigger than the AUC of precuneus, superior parietal, inferior parietal and lateral occipital; the AUC of the combination of the six brain regions was bigger than pons (Z=1.986, P=0.047). Kappa test indicated that the diagnosis of the 18F-FDG PET had good agreement with the diagnosis of the "gold standard" in the two diseases (κ=0.678, P=0.000, for all). Conclusions: The characteristic brain glucose metabolism patterns of PD and MSA-P can be obtained by 18F-FDG PET. 18F-FDG PET has good diagnostic and differential diagnostic efficacy for PD and MSA-P.