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Comparison Between 18F-Florapronol and 18F-Florbetaben Imaging in Patients With Cognitive Impairment
Journal of Clinical Neurology ; : 260-269, 2023.
Article in English | WPRIM | ID: wpr-976856
ABSTRACT
Background@#and Purpose To determine the imaging characteristics and cutoff value of18F-florapronol (FC119S) quantitative analysis for detecting β-amyloid positivity and Al- zheimer’s disease (AD), we compared the findings of FC119S and 18F-florbetaben (FBB) positron-emission tomography (PET) in patients with cognitive impairment. @*Methods@#We prospectively enrolled 35 patients with cognitive impairment who underwent FBB-PET, FC119S-PET, and brain magnetic resonance imaging. We measured global and vertex-wise standardized uptake value ratios (SUVRs) using a surface-based method with the cerebellar gray matter as reference. Optimal global FC119S SUVR cutoffs were determined using receiver operating characteristic curves for β-amyloid positivity based on the global FBB SUVR of 1.478 and presence of AD, respectively. We evaluated the global and vertex-wise SUVR correlations between the two tracers. In addition, we performed correlation analysis for global or vertex-wise SUVR of each tracer with the vertex-wise cortical thicknesses. @*Results@#The optimal global FC119S SUVR cutoff value was 1.385 both for detecting β-amyloid positivity and for detecting AD. Based on the global SUVR cutoff value of each tracer, 32 (91.4%) patients had concordant β-amyloid positivity. The SUVRs of FC119S and FBB had strong global (r=0.72) and vertex-wise (r>0.7) correlations in the overall cortices, except for the parietal and temporal cortices (0.4anterior cingulate, parietal, posterior temporal, and occipital cortices. @*Conclusions@#Quantitative FC119S-PET analysis provided reliable information for detecting β-amyloid deposition and the presence of AD.
Full text: Available Index: WPRIM (Western Pacific) Language: English Journal: Journal of Clinical Neurology Year: 2023 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: English Journal: Journal of Clinical Neurology Year: 2023 Type: Article