Careful selection of the reference region for non-quantitative positron emission tomography (PET) analyses is critically important for Region of Interest (ROI) data analyses. We introduce an empirical method of deriving the most suitable reference region for computing neurodegeneration sensitive (18)fluorodeoxyglucose (FDG) PET ratios based on the dataset collected by the Alzheimer's Disease Neuroimaging Initiative (ADNI) study. Candidate reference regions are selected based on a heat map of the difference in coefficients of variation (COVs) of FDG ratios over time for each of the Automatic Anatomical Labeling (AAL) atlas regions normalized by all other AAL regions. Visual inspection of the heat map suggests that the portion of the cerebellum and vermis superior to the horizontal fissure is the most sensitive reference region. Analyses of FDG ratio data show increases in significance on the order of ten-fold when using the superior portion of the cerebellum as compared with the traditionally used full cerebellum. The approach to reference region selection in this paper can be generalized to other radiopharmaceuticals and radioligands as well as to other disorders where brain changes over time are hypothesized and longitudinal data is available. Based on the empirical evidence presented in this study, we demonstrate the usefulness of the COV heat map method and conclude that intensity normalization based on the superior portion of the cerebellum may be most sensitive to measuring change when performing longitudinal analyses of FDG-PET ratios as well as group comparisons in Alzheimer's disease. This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.

译文

对于非定量正电子发射断层扫描 (PET) 分析,仔细选择参考区域对于感兴趣区域 (ROI) 数据分析至关重要。我们介绍了一种基于阿尔茨海默氏病神经影像倡议 (ADNI) 研究收集的数据集得出最合适的参考区域的经验方法,用于计算神经变性敏感 (18) 氟脱氧葡萄糖 (FDG) PET比率。基于由所有其他AAL区域归一化的每个自动解剖标记 (AAL) 图谱区域的FDG比率的变异系数 (cov) 随时间的差异的热图来选择候选参考区域。对热图的目视检查表明,小脑和ver部高于水平裂的部分是最敏感的参考区域。FDG比率数据的分析表明,与传统使用的全小脑相比,使用小脑的上部分的显着性增加了十倍。本文中参考区域选择的方法可以推广到其他放射性药物和放射性配体,以及其他假设大脑随时间变化且可获得纵向数据的疾病。基于本研究中提出的经验证据,我们证明了COV热图方法的有用性,并得出结论,当对fdg-pet进行纵向分析时,基于小脑上部的强度归一化可能对测量变化最敏感。以及阿尔茨海默氏病的组比较。本文是题为 “脑老化和神经退行性疾病的成像” 的特刊的一部分。

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