18F-FDOPA PET/CT Semi-Quantitative Analysis in Improving the Diagnostic Efficacy of Parkinson's Disease / 中国医学影像学杂志

ABSTRACT

Purpose To investigate the diagnostic value of 18F-FDOPA PET/CT imaging and semi-quantitative analysis platform for the diagnosis of Parkinson's disease(PD).Materials and Methods There were 27 healthy controls and 56 clinically diagnosed PD patients,including 33 early PD(Hoehn-Yahr class Ⅰ-Ⅱ)and 23 advanced PD(Hoehn-Yahr class Ⅲ-Ⅳ),underwent 18F-FDOPA PET imaging in Nanjing First Hospital,Nanjing Medical University were consecutively enrolled from January 2018 to December 2019.The striatal to occipital ratio(SORs)in radioactivity was calculated by HERMES BRASS platform,thereby completing the semi-quantitative analysis of the brain based on regions of interest and observing the asymmetry of the striatal subregions in early-stage PD and late-stage PD patients.Using artificial intelligence techniques to perform principal component analysis on the SORs of the striatal subregions in PD group and healthy control group,the degree of data aggregation and the distinguishability between groups were observed.Results The SORs was significantly reduced in the whole caudate,anterior,posterior putamen and striatum of advanced PD patients(t=9.02-11.72,P<0.000 1).The area under the curve was 0.952,0.973,0.995 and 0.982,respectively.Compared with the healthy control group,the loss of striatal asymmetry index(mean)in each subregion of the striatum in early PD group was caudate(7.61±5.50)%,anterior putamen(11.43±8.97)%,posterior putamen(17.17±11.63)%,and whole striatum(10.65±7.46)%,respectively.The uptake of 18F-FDOPA in the striatum of PD patients was significantly reduced,and the most obvious loss of early PD patients was contralateral posterior putamen,with a decrease of 34%.Conclusion The platform semi-quantitative analysis of 18F-FDOPA PET/CT images provides objective semi-quantitative values for early diagnosis and differential diagnosis of PD.Asymmetry in the striatum,especially in the putamen,may be an important parameter for early diagnosis of PD..