Lu Jiaying, Wang Min, Wu Ping, Yakushev Igor, Zhang Huiwei, Ziegler Sibylle, Jiang Jiehui, Förster Stefan, Wang Jian, Schwaiger Markus, Rominger Axel, Huang Sung-Cheng, Liu Fengtao, Zuo Chuantao, Shi Kuangyu
Department of Nuclear Medicine and PET Center, Huashan Hospital, Fudan University, 518 East Wuzhong Road, Shanghai, 200235 China.
Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland.
Phenomics. 2022 Oct 25;3(1):50-63. doi: 10.1007/s43657-022-00079-6. eCollection 2023 Feb.
Age and gender are the important factors for brain metabolic declines in both normal aging and neurodegeneration, and the confounding effects may influence early and differential diagnosis of neurodegenerative diseases based on the [F]fluorodeoxyglucose positron emission tomography ([F]FDG PET). We aimed to explore the potential of the adjustment of age- and gender-related confounding factors on [F]FDG PET images in differentiation of Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supra-nuclear palsy (PSP). Eight hundred and seventy-seven clinically definitely diagnosed Parkinsonian patients from a benchmark Huashan Parkinsonian PET imaging database were included. An age- and gender-adjusted Z (AGAZ) score was established based on the gender-specific longitudinal metabolic changes on healthy subjects. AGAZ scores and standardized uptake value ratio (SUVR) values were quantified at regional-level and support vector machine-based error-correcting output codes method was applied for classification. Additional references of the classifications based on metabolic pattern scores were included. The feature-based AGAZ score showed the best performance in classification (accuracy for PD, MSA, PSP: 93.1%, 96.3%, 94.8%). In both genders, the AGAZ score consistently achieved the best efficiency, and the improvements compared to the conventional SUVR value for PD, MSA, and PSP mainly laid in specificity (Male: 5.7%; Female: 11.1%), sensitivity (Male: 7.2%; Female: 7.3%), and sensitivity (Male: 7.3%; Female: 17.2%). Female patients benefited more from the adjustment on [F]FDG PET in MSA and PSP groups (absolute net reclassification index, < 0.001). Collectively, the adjustment of age- and gender-related confounding factors may improve the differential diagnosis of Parkinsonism. Particularly, the diagnosis of female Parkinsonian population has the best improvement from this correction.
The online version contains supplementary material available at 10.1007/s43657-022-00079-6.
年龄和性别是正常衰老和神经退行性变过程中脑代谢下降的重要因素,这些混杂效应可能会影响基于[F]氟脱氧葡萄糖正电子发射断层扫描([F]FDG PET)对神经退行性疾病的早期和鉴别诊断。我们旨在探讨调整年龄和性别相关混杂因素对[F]FDG PET图像在帕金森病(PD)、多系统萎缩(MSA)和进行性核上性麻痹(PSP)鉴别诊断中的潜力。纳入了来自华山帕金森病PET影像基准数据库的877例临床确诊的帕金森病患者。基于健康受试者特定性别的纵向代谢变化建立了年龄和性别调整后的Z(AGAZ)评分。在区域水平上对AGAZ评分和标准化摄取值比(SUVR)值进行量化,并应用基于支持向量机的纠错输出编码方法进行分类。还纳入了基于代谢模式评分的分类的其他参考。基于特征的AGAZ评分在分类中表现最佳(PD、MSA、PSP的准确率分别为93.1%、96.3%、94.8%)。在男女两性中,AGAZ评分始终具有最佳效率,与传统SUVR值相比,PD、MSA和PSP的改善主要体现在特异性(男性:5.7%;女性:11.1%)、敏感性(男性:7.2%;女性:7.3%)和敏感度(男性:7.3%;女性:17.2%)方面。女性患者在MSA和PSP组中从[F]FDG PET调整中获益更多(绝对净重新分类指数,<0.001)。总体而言,调整年龄和性别相关混杂因素可能会改善帕金森综合征的鉴别诊断。特别是,女性帕金森病患者群体的诊断从这种校正中改善最为明显。
在线版本包含可在10.1007/s43657-022-00079-6获取的补充材料。