Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-Gu, Seoul, 05505, South Korea.
Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-Gu, Seoul, 05505, South Korea.
Sci Rep. 2021 May 14;11(1):10343. doi: 10.1038/s41598-021-89797-x.
Imaging biomarkers support the diagnosis of Alzheimer's disease (AD). We aimed to determine whether combining automated brain volumetry on MRI and quantitative measurement of tau deposition on [18F] THK-5351 PET can aid discrimination of AD spectrum. From a prospective database in an IRB-approved multicenter study (NCT02656498), 113 subjects (32 healthy control, 55 mild cognitive impairment, and 26 Alzheimer disease) with baseline structural MRI and [18F] THK-5351 PET were included. Cortical volumes were quantified from FDA-approved software for automated volumetric MRI analysis (NeuroQuant). Standardized uptake value ratio (SUVR) was calculated from tau PET images for 6 composite FreeSurfer-derived regions-of-interests approximating in vivo Braak stage (Braak ROIs). On volumetric MRI analysis, stepwise logistic regression analyses identified the cingulate isthmus and inferior parietal lobule as significant regions in discriminating AD from HC and MCI. The combined model incorporating automated volumes of selected brain regions on MRI (cingulate isthmus, inferior parietal lobule, hippocampus) and SUVRs of Braak ROIs on [18F] THK-5351 PET showed higher performance than SUVRs of Braak ROIs on [18F] THK-5351 PET in discriminating AD from HC (0.98 vs 0.88, P = 0.033) but not in discriminating AD from MCI (0.85 vs 0.79, P = 0.178). The combined model showed comparable performance to automated volumes of selected brain regions on MRI in discriminating AD from HC (0.98 vs 0.94, P = 0.094) and MCI (0.85 vs 0.78; P = 0.065).
影像生物标志物支持阿尔茨海默病(AD)的诊断。我们旨在确定是否可以结合 MRI 上的自动脑容积测量和 [18F] THK-5351 PET 上的 tau 沉积定量测量来辅助 AD 谱的区分。在一项经过 IRB 批准的多中心研究(NCT02656498)的前瞻性数据库中,纳入了 113 名受试者(32 名健康对照、55 名轻度认知障碍和 26 名阿尔茨海默病),这些受试者基线时均有结构 MRI 和 [18F] THK-5351 PET。使用经 FDA 批准的自动容积 MRI 分析软件(NeuroQuant)对皮质容积进行定量。从 tau PET 图像中计算出标准化摄取值比(SUVR),用于 6 个复合的源自 FreeSurfer 的 ROI,这些 ROI 近似于体内 Braak 分期(Braak ROI)。在容积 MRI 分析中,逐步逻辑回归分析确定了扣带回峡部和下顶叶小叶作为区分 AD 与 HC 和 MCI 的重要区域。结合模型纳入了 MRI 上选定脑区的自动容积(扣带回峡部、下顶叶小叶、海马体)和 [18F] THK-5351 PET 上 Braak ROI 的 SUVR,在区分 AD 与 HC 方面比 [18F] THK-5351 PET 上的 Braak ROI 的 SUVR 表现更好(0.98 对 0.88,P=0.033),但在区分 AD 与 MCI 方面表现相当(0.85 对 0.79,P=0.178)。该联合模型在区分 AD 与 HC(0.98 对 0.94,P=0.094)和 MCI(0.85 对 0.78;P=0.065)方面的表现与 MRI 上选定脑区的自动容积相似。