Gallivanone Francesca, Della Rosa Pasquale A, Perani Daniela, Gilardi Maria C, Castiglioni Isabella
Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Milan, Italy.
Vita-Salute San Raffaele University, Milan, Italy.
Q J Nucl Med Mol Imaging. 2017 Mar;61(1):115-132. doi: 10.23736/S1824-4785.16.02749-7. Epub 2014 Dec 5.
Statistical Parametric Mapping (SPM) has been applied for single-subject evaluation of [18F]FDG uptake in Alzheimer Disease (AD). In a single-subject framework, the patient is compared to a dataset of [18F]FDG PET images from healthy subjects (HS) evaluating brain metabolic abnormalities. No studies exist that assess the effects on SPM analysis of HS [18F]FDG PET datasets acquired from different subjects and using different PET scanners including the same or different PET scanners than those used for patients. This work aims to elucidate this issue from a methodological perspective.
We considered six different [18F]FDG PET datasets, from different HS populations, acquired by different PET scanners. We applied SPM5 procedures for single-subject comparison with each of the six HS datasets in 10 probable AD patients showing the typical [18F]FDG pattern. We also implemented the same comparison in 3 probable AD patients and in 7 patients with a clinical diagnosis of Mild Cognitive Impariment (MCI), showing subtle changes on visual inspection of [18F]FDG distribution.
Considering the 10 patients with the typical [18F]FDG pattern, the results were comparable for all the SPM maps. In the 3 probable AD patients with subtle changes in [18F]FDG distribution, no significant AD pattern emerged when a small number (<20) of HS was used, whereas a significant AD pattern appeared when a large (>50) HS image set was used. In the 7 considered MCI patients the use of a large (>50) HS image set allowed to assess significant hypometabolic patterns related to a probable neurodegenerative pathology.
The use of large HS datasets of PET scans (>50) is recommended for single-subject SPM analysis. On condition that appropriate preprocessing steps are provided, large HS datasets can include HS images acquired with different PET systems, not including images from the same scanner of that used for patients.
统计参数映射（SPM）已应用于阿尔茨海默病（AD）患者[18F]FDG摄取的单病例评估。在单病例框架下，将患者与一组来自健康受试者（HS）的[18F]FDG PET图像数据集进行比较，以评估脑代谢异常情况。目前尚无研究评估来自不同受试者且使用不同PET扫描仪（包括与患者所用相同或不同的PET扫描仪）获取的HS[18F]FDG PET数据集对SPM分析的影响。本研究旨在从方法学角度阐明这一问题。
我们考虑了六个不同的[18F]FDG PET数据集，这些数据集来自不同的HS群体，由不同的PET扫描仪获取。我们应用SPM5程序，将10例表现出典型[18F]FDG模式的可能AD患者分别与六个HS数据集中的每一个进行单病例比较。我们还对3例可能的AD患者和7例临床诊断为轻度认知障碍（MCI）的患者进行了同样的比较，这些患者在[18F]FDG分布的视觉检查中显示出细微变化。
对于10例具有典型[18F]FDG模式的患者，所有SPM图谱的结果具有可比性。在3例[18F]FDG分布有细微变化的可能AD患者中，当使用少量（<20）HS时，未出现显著的AD模式，而当使用大量（>50）HS图像集时，出现了显著的AD模式。在7例被考虑的MCI患者中，使用大量（>50）HS图像集能够评估与可能的神经退行性病变相关的显著低代谢模式。
对于单病例SPM分析，建议使用大量（>50）的PET扫描HS数据集。在提供适当预处理步骤的情况下，大量HS数据集可包括使用不同PET系统获取的HS图像，但不包括与患者所用同一扫描仪的图像。
Zotero 插件