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The predictive value of ss-16 in clinically diagnosed Parkinson’s disease patients:comparison with ^(99m)Tc-TRODAT-1 SPECT scans

引用

Translational Neurodegeneration 2016年第1期5卷 126-130页

作者： Wenyan Kang Fangyi Dong Dunhui Li Thomas J.Quinn Shengdi Chen Jun Liu Department of Neurology&Institute of Neurology Ruijin Hospital affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Neurology Ruijin Hospital North affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Radiation Oncology Beaumont Health SystemRoyal OakMI 48073USA

Background:Dopamine transporter based imaging has high diagnostic performance in distinguishing patients with Parkinson’s disease(PD)from patients with non-Parkinsonian *** previous study indicated that the“Sniffin’Sticks”odor identification test(ss-16)acts as a valid instrument for olfactory assessment in Chinese PD *** aim of the study was to compare the efficacy of the two methods in diagnosing ***:Fifty-two PD patients were involved in this study and underwent single photon emission computed tomography(SPECT)imaging using the labeled dopamine transporter radiotracer ^(99)mTc-TRODAT-1 to assess nigrostriatal dopaminergic *** function was assessed with the“Sniffin’Sticks”odor identification test(ss-16)in all patients who received DAT-SPECT *** analysis(SPss version 21)was carried out to determine the diagnostic accuracy of ss-16 as well as its correlation with ^(99)mTc-TRODAT-1 SPECT,its positive predictive value(PPV),and negative predictive value(NPV).Results:We identified a negative correlation between ss-16 and DAT SPECT(Kappa=0.269,p=0.004).By using the ^(99)mTc-TRODAT-1 uptake results as the gold standard,the sensitivity and specificity of ss-16 was 56.8 and 37.5%,***,the negative and positive predictive values were calculated as 13.6 and 83.3%,***:ss-16 would not be used as a diagnostic tool for early stage PD *** results of ss-16 would not exclude the diagnosis of *** tests are needed for validation.

关键词： Parkinson’s disease DAT-SPECT ss-16

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