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联合生物标志物:正电子发射断层扫描(PET)[18F]氟替美莫显像与结构磁共振成像在痴呆和轻度认知障碍中的应用。

Combination of biomarkers: PET [18F]flutemetamol imaging and structural MRI in dementia and mild cognitive impairment.

机构信息

GE Healthcare, Uppsala, Sweden.

出版信息

Neurodegener Dis. 2012;10(1-4):246-9. doi: 10.1159/000335381. Epub 2012 Feb 1.

Abstract

BACKGROUND

The New National Institute on Aging-Alzheimer's Association diagnostic guidelines for Alzheimer's disease (AD) incorporate biomarkers in the diagnostic criteria and suggest division of biomarkers into two categories: Aβ accumulation and neuronal degeneration or injury.

OBJECTIVE

It was the aim of this study to compute hippocampus volume from MRI and a neocortical standard uptake value ratio (SUVR) from [(18)F]flutemetamol PET and investigate the performance of these biomarkers when used individually and when combined.

METHODS

Fully automated methods for hippocampus segmentation and for computation of neocortical SUVR were applied to MR and scans with the investigational imaging agent [(18)F]flutemetamol in a cohort comprising 27 AD patients, 25 healthy volunteers (HVs) and 20 subjects with amnestic mild cognitive impairment (MCI). Clinical follow-up was performed 2 years after the initial assessment.

RESULTS

Hippocampus volumes showed extensive overlap between AD and HV cases while PET SUVRs showed clear group clustering. When both measures were combined, there was a relatively compact cluster of HV scans and a less compact AD cluster. MCI cases had a bimodal distribution of SUVRs. [(18)F]Flutemetamol-positive MCI subjects showed a large variability in hippocampus volumes, indicating that these subjects were in different stages of neurodegeneration. Some [(18)F]flutemetamol-negative MCI scans had hippocampus volumes that were well below the HV range. Clinical follow-up showed that 8 of 9 MCI to AD converters came from the [(18)F]flutemetamol-positive group.

CONCLUSION

Combining [(18)F]flutemetamol PET with structural MRI provides additional information for categorizing disease and potentially predicting shorter time to progression from MCI to AD, but this has to be validated in larger longitudinal studies.

摘要

背景

美国国立老化研究所-阿尔茨海默病协会(NIA-AA)的阿尔茨海默病(AD)新诊断指南将生物标志物纳入诊断标准,并建议将生物标志物分为两类:Aβ 积聚和神经元变性或损伤。

目的

本研究旨在通过 MRI 计算海马体积和 [(18)F]flutemetamol PET 的皮质标准摄取值比(SUVR),并研究这些生物标志物单独使用和联合使用时的性能。

方法

在包括 27 例 AD 患者、25 例健康对照者(HCs)和 20 例遗忘型轻度认知障碍(MCI)患者的队列中,应用全自动海马分割方法和皮质 SUVR 计算方法,对 MRI 和研究用成像剂 [(18)F]flutemetamol 进行扫描。在初始评估后 2 年进行临床随访。

结果

AD 和 HCs 患者的海马体积有广泛重叠,而 PET SUVR 显示出明显的聚类。当两种测量方法结合使用时,HC 扫描的聚类相对紧凑,AD 的聚类则不太紧凑。MCI 患者的 SUVR 呈双峰分布。[(18)F]flutemetamol 阳性的 MCI 患者的海马体积有很大的变异性,表明这些患者处于不同的神经退行性阶段。一些 [(18)F]flutemetamol 阴性的 MCI 扫描的海马体积明显低于 HCs 范围。临床随访显示,9 例 MCI 向 AD 转化的患者中有 8 例来自 [(18)F]flutemetamol 阳性组。

结论

将 [(18)F]flutemetamol PET 与结构 MRI 相结合,为分类疾病提供了额外的信息,并可能预测从 MCI 向 AD 的进展时间更短,但这需要在更大的纵向研究中验证。

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