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使用定量和定性评估方法,氟[18F]氟比他滨和氟[18F]氟脱氧葡萄糖 PET 检测淀粉样蛋白阳性的一致性。

Concordance in detecting amyloid positivity between F-florbetaben and F-flutemetamol amyloid PET using quantitative and qualitative assessments.

机构信息

Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Korea.

出版信息

Sci Rep. 2020 Nov 11;10(1):19576. doi: 10.1038/s41598-020-76102-5.


DOI:10.1038/s41598-020-76102-5
PMID:33177593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7658982/
Abstract

We aimed to quantitatively and qualitatively assess whether there is a discrepancy in detecting amyloid beta (Aβ) positivity between 18F-florbetaben (FBB) and 18F-flutemetamol (FMM) positron emission tomography (PET). We obtained paired FBB and FMM PET images from 107 participants. Three experts visually quantified the Aβ deposition as positive or negative. Quantitative assessment was performed using global cortical standardized uptake value ratio (SUVR) with the whole cerebellum as the reference region. Inter-rater agreement was excellent for FBB and FMM. The concordance rates between FBB and FMM were 94.4% (101/107) for visual assessment and 98.1% (105/107) for SUVR cut-off categorization. Both FBB and FMM showed high agreement rates between visual assessment and SUVR positive or negative categorization (93.5% in FBB and 91.2% in FMM). When the two ligands were compared based on SUVR cut-off categorization as standard of truth, although not statistically significant, the false-positive rate was higher in FMM (9.1%) than in FBB (1.8%) (p = 0.13). Our findings suggested that both FBB and FMM had excellent agreement when used to quantitatively and qualitatively evaluate Aβ deposits, thus, combining amyloid PET data associated with the use of different ligands from multi-centers is feasible.

摘要

我们旨在定量和定性评估 18F-氟比他滨(FBB)和 18F-氟米特胺(FMM)正电子发射断层扫描(PET)检测淀粉样蛋白-β(Aβ)阳性是否存在差异。我们从 107 名参与者中获得了配对的 FBB 和 FMM PET 图像。三位专家对 Aβ沉积进行了阳性或阴性的视觉定量评估。使用全脑作为参考区域的全局皮质标准化摄取值比(SUVR)进行定量评估。FBB 和 FMM 的观察者间一致性极好。FBB 和 FMM 的视觉评估之间的一致性率为 94.4%(101/107),SUVR 截断分类的一致性率为 98.1%(105/107)。FBB 和 FMM 的视觉评估与 SUVR 阳性或阴性分类之间均具有较高的一致性(FBB 为 93.5%,FMM 为 91.2%)。当基于 SUVR 截断分类作为金标准来比较两种配体时,尽管没有统计学意义,但 FMM 的假阳性率(9.1%)高于 FBB(1.8%)(p=0.13)。我们的研究结果表明,FBB 和 FMM 在定量和定性评估 Aβ 沉积时具有极好的一致性,因此,结合使用不同配体的多中心淀粉样蛋白 PET 数据是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/f2322b9ba758/41598_2020_76102_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/d8f65d399e5b/41598_2020_76102_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/e3e2844ae815/41598_2020_76102_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/8e701a6f6c7f/41598_2020_76102_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/f2322b9ba758/41598_2020_76102_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/d8f65d399e5b/41598_2020_76102_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/e3e2844ae815/41598_2020_76102_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/8e701a6f6c7f/41598_2020_76102_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd9/7658982/f2322b9ba758/41598_2020_76102_Fig4_HTML.jpg

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本文引用的文献

[1]
Appropriate reference region selection of F-florbetaben and F-flutemetamol beta-amyloid PET expressed in Centiloid.

Sci Rep. 2020-9-11

[2]
A new Centiloid method for F-florbetaben and F-flutemetamol PET without conversion to PiB.

Eur J Nucl Med Mol Imaging. 2020-7

[3]
The Cortical Neuroanatomy Related to Specific Neuropsychological Deficits in Alzheimer's Continuum.

Dement Neurocogn Disord. 2019-9

[4]
Clinical significance of amyloid β positivity in patients with probable cerebral amyloid angiopathy markers.

Eur J Nucl Med Mol Imaging. 2019-4-2

[5]
Is there a difference in regional read [F]flutemetamol amyloid patterns between end-of-life subjects and those with amnestic mild cognitive impairment?

Eur J Nucl Med Mol Imaging. 2019-3-13

[6]
Infrequent false positive [F]flutemetamol PET signal is resolved by combined histological assessment of neuritic and diffuse plaques.

Alzheimers Res Ther. 2018-6-23

[7]
NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

Alzheimers Dement. 2018-4

[8]
Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer's Disease Spectrum: Development of the Classifier and Longitudinal Evaluation.

Sci Rep. 2018-3-7

[9]
Performance of [F]flutemetamol amyloid imaging against the neuritic plaque component of CERAD and the current (2012) NIA-AA recommendations for the neuropathologic diagnosis of Alzheimer's disease.

Alzheimers Dement (Amst). 2017-7-1

[10]
Optimized classification of F-Florbetaben PET scans as positive and negative using an SUVR quantitative approach and comparison to visual assessment.

Neuroimage Clin. 2017-5-13

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