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