Concordance in detecting amyloid positivity between 18F-florbetaben and 18F-flutemetamol amyloid PET using quantitative and qualitative assessments

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作者
Soo Hyun Cho
Yeong Sim Choe
Young Ju Kim
Byungju Lee
Hee Jin Kim
Hyemin Jang
Jun Pyo Kim
Young Hee Jung
Soo-Jong Kim
Byeong C. Kim
Gill Farrar
Duk L. Na
Seung Hwan Moon
Sang Won Seo
机构
[1] Sungkyunkwan University School of Medicine,Department of Neurology, Samsung Medical Center
[2] Chonnam National University Hospital,Department of Neurology, Chonnam National University Medical School
[3] Sungkyunkwan University,Department of Health Sciences and Technology, SAIHST
[4] Samsung Medical Center,Neuroscience Center
[5] Yuseong Geriatric Rehabilitation Hospital,Department of Neurology
[6] Myoungji Hospital,Department of Neurology
[7] Hanyang University,Pharmaceutical Diagnostics
[8] GE Healthcare,Stem Cell and Regenerative Medicine Institute
[9] Samsung Medical Center,Department of Nuclear Medicine, Sungkyunkwan University School of Medicine
[10] Samsung Medical Center,Samsung Alzheimer Research Center
[11] Samsung Medical Center,Department of Intelligent Precision Healthcare Convergence
[12] Sungkyunkwan University School of Medicine,undefined
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Scientific Reports | / 10卷
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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.
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