基于人工智能MRI脑区容积比变化对早期帕金森病的诊断价值OACSTPCD

Objective To explore the diagnostic value of MRI-based brain volume automatic analysis software in early Parkinson's disease(PD).Methods Sixty early-stage PD patients who visited the Department of Neurology at Taizhou Hospital of Zhejiang Province from November 2021 to August 2023,as well as 88 healthy individuals who underwent physical examinations during the same period,were selected as the study subjects.The new automatic segmentation software uAl Sphere was used to accurately calculate the volume ratio of various brain regions.The volume ratios of different brain regions between two groups of research subjects were compared,and differential brain regions and regions of interest were selected to conduct univariate and multivariate logistic regression and joint diagnostic analyses.Results Compared with the healthy control group,there were statistically significant differences in the volume ratio of brain regions such as hippocampus,globus pallidus,putamen,thalamus,and choroid plexus in early PD patients(all P＜0.05).The diagnostic system formed by combining the volume ratios of these five brain regions can be used for the diagnosis of early PD,with an AUC of 0.939.Conclusion The use of uAl Sphere brain volume automatic analysis technology can assist in the clinical diagnosis of early PD.