Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA.
J Alzheimers Dis. 2017;60(3):939-947. doi: 10.3233/JAD-161284.
This project compares three neuroimaging biomarkers to predict progression to dementia in subjects with mild cognitive impairment (MCI). Eighty-eight subjects with MCI and 40 healthy controls (HCs) were recruited. Subjects had a 3T magnetic resonance imaging (MRI) scan, and two positron emission tomography (PET) scans, one with Pittsburgh compound B ([11C]PIB) and one with fluorodeoxyglucose ([18F]FDG). MCI subjects were followed for up to 4 y and progression to dementia was assessed on an annual basis. MCI subjects had higher [11C]PIB binding potential (BPND) than HCs in multiple brain regions, and lower hippocampus volumes. [11C]PIB BPND, [18F]FDG standard uptake value ratio (SUVR), and hippocampus volume were associated with time to progression to dementia using a Cox proportional hazards model. [18F]FDG SUVR demonstrated the most statistically significant association with progression, followed by [11C]PIB BPND and then hippocampus volume. [11C]PIB BPND and [18F]FDG SUVR were independently predictive, suggesting that combining these measures is useful to increase accuracy in the prediction of progression to dementia. Hippocampus volume also had independent predictive properties to [11C]PIB BPND, but did not add predictive power when combined with the [18F]FDG SUVR data. This work suggests that PET imaging with both [11C]PIB and [18F]FDG may help to determine which MCI subjects are likely to progress to AD, possibly directing future treatment options.
本研究旨在比较三种神经影像学生物标志物,以预测轻度认知障碍(MCI)患者向痴呆的进展。共招募了 88 名 MCI 患者和 40 名健康对照者(HCs)。所有受试者均接受了 3T 磁共振成像(MRI)扫描和正电子发射断层扫描(PET)检查,其中一次使用匹兹堡化合物 B ([11C]PIB),另一次使用氟脱氧葡萄糖 ([18F]FDG)。对 MCI 患者进行了长达 4 年的随访,并每年评估一次向痴呆的进展情况。MCI 患者在多个脑区的 [11C]PIB 结合潜能(BPND)高于 HCs,且海马体积较小。使用 Cox 比例风险模型发现,[11C]PIB BPND、[18F]FDG 标准摄取比值(SUVR)和海马体积与向痴呆进展的时间相关。[18F]FDG SUVR 与进展的相关性最显著,其次是 [11C]PIB BPND,然后是海马体积。[11C]PIB BPND 和 [18F]FDG SUVR 均具有独立的预测能力,表明联合这些指标有助于提高预测痴呆进展的准确性。海马体积与 [11C]PIB BPND 也具有独立的预测能力,但与 [18F]FDG SUVR 数据联合使用时并未增加预测能力。这项研究表明,使用 [11C]PIB 和 [18F]FDG 的 PET 成像可能有助于确定哪些 MCI 患者可能进展为 AD,从而可能为未来的治疗选择提供指导。