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

Authors
Cho, Soo HyunChoe, Yeong SimKim, Young JuLee, ByungjuKim, Hee JinJang, HyeminKim, Jun Pyo정영희Kim, Soo‑JongKim, Byeong C.Farrar, GillNa, Duk L.Moon, Seung HwanSeo, Sang Won
Issue Date
Nov-2020
Publisher
NATURE PUBLISHING GROUP
Citation
SCIENTIFIC REPORTS, v.10, no.1, pp 1 - 10
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC REPORTS
Volume
10
Number
1
Start Page
1
End Page
10
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/197181
DOI
10.1038/s41598-020-76102-5
ISSN
2045-2322
Abstract
We aimed to quantitatively and qualitatively assess whether there is a discrepancy in detecting amyloid beta (A beta) 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 A beta 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 A beta deposits, thus, combining amyloid PET data associated with the use of different ligands from multi-centers is feasible.
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