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正电子发射断层扫描与单光子发射计算机断层扫描的空间协方差分析在路易体痴呆与阿尔茨海默病鉴别诊断中的作用。

Spatial covariance analysis of FDG-PET and HMPAO-SPECT for the differential diagnosis of dementia with Lewy bodies and Alzheimer's disease.

机构信息

Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom.

Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, United Kingdom.

出版信息

Psychiatry Res Neuroimaging. 2022 Jun;322:111460. doi: 10.1016/j.pscychresns.2022.111460. Epub 2022 Feb 15.

Abstract

We investigated diagnostic characteristics of spatial covariance analysis (SCA) of FDG-PET and HMPAO-SPECT scans in the differential diagnosis of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), in comparison with visual ratings and region of interest (ROI) analysis. Sixty-seven patients (DLB 29, AD 38) had both HMPAO-SPECT and FDG-PET scans. Spatial covariance patterns were used to separate AD and DLB in an initial derivation group (DLB n=15, AD n=19), before being forward applied to an independent group (DLB n=14, AD n=19). Visual ratings were by consensus, with ROI analysis utilising medial occipital/medial temporal uptake ratios. SCA of HMPAO-SPECT performed poorly (AUC 0.59±0.10), whilst SCA of FDG-PET (AUC 0.83±0.07) was significantly better. For FDG-PET, SCA showed similar diagnostic performance to ROI analysis (AUC 0.84±0.08) and visual rating (AUC 0.82±0.08). In contrast to ROI analysis, there was little concordance between SCA and visual ratings of FDG-PET scans. We conclude that SCA of FDG-PET outperforms that of HMPAO-SPECT. SCA of FDG-PET also performed similarly to the other analytical approaches, despite the limitations of a relatively small SCA derivation group. Compared to visual rating, SCA of FDG-PET relies on different sources of group variance to separate DLB from AD.

摘要

我们研究了 FDG-PET 和 HMPAO-SPECT 扫描的空间协方差分析(SCA)在路易体痴呆(DLB)和阿尔茨海默病(AD)鉴别诊断中的诊断特征,与视觉评分和感兴趣区(ROI)分析进行了比较。67 名患者(DLB 29 名,AD 38 名)均进行了 HMPAO-SPECT 和 FDG-PET 扫描。空间协方差模式用于在初始推导组(DLB n=15,AD n=19)中分离 AD 和 DLB,然后向前应用于独立组(DLB n=14,AD n=19)。视觉评分采用共识,ROI 分析利用中颞/中枕摄取比。HMPAO-SPECT 的 SCA 性能不佳(AUC 0.59±0.10),而 FDG-PET 的 SCA 则明显更好(AUC 0.83±0.07)。对于 FDG-PET,SCA 与 ROI 分析(AUC 0.84±0.08)和视觉评分(AUC 0.82±0.08)具有相似的诊断性能。与 ROI 分析相比,SCA 与 FDG-PET 扫描的视觉评分之间几乎没有一致性。我们得出结论,FDG-PET 的 SCA 优于 HMPAO-SPECT。尽管 SCA 推导组相对较小,但 FDG-PET 的 SCA 与其他分析方法的性能相似。与视觉评分相比,FDG-PET 的 SCA 依靠不同的组方差源来分离 DLB 和 AD。

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