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Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments
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 vis...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658982/ https://www.ncbi.nlm.nih.gov/pubmed/33177593 http://dx.doi.org/10.1038/s41598-020-76102-5 |
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author | Cho, Soo Hyun Choe, Yeong Sim Kim, Young Ju Lee, Byungju Kim, Hee Jin Jang, Hyemin Kim, Jun Pyo Jung, Young Hee Kim, Soo-Jong Kim, Byeong C. Farrar, Gill Na, Duk L. Moon, Seung Hwan Seo, Sang Won |
author_facet | Cho, Soo Hyun Choe, Yeong Sim Kim, Young Ju Lee, Byungju Kim, Hee Jin Jang, Hyemin Kim, Jun Pyo Jung, Young Hee Kim, Soo-Jong Kim, Byeong C. Farrar, Gill Na, Duk L. Moon, Seung Hwan Seo, Sang Won |
author_sort | Cho, Soo Hyun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7658982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76589822020-11-13 Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments Cho, Soo Hyun Choe, Yeong Sim Kim, Young Ju Lee, Byungju Kim, Hee Jin Jang, Hyemin Kim, Jun Pyo Jung, Young Hee Kim, Soo-Jong Kim, Byeong C. Farrar, Gill Na, Duk L. Moon, Seung Hwan Seo, Sang Won Sci Rep Article 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. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7658982/ /pubmed/33177593 http://dx.doi.org/10.1038/s41598-020-76102-5 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cho, Soo Hyun Choe, Yeong Sim Kim, Young Ju Lee, Byungju Kim, Hee Jin Jang, Hyemin Kim, Jun Pyo Jung, Young Hee Kim, Soo-Jong Kim, Byeong C. Farrar, Gill Na, Duk L. Moon, Seung Hwan Seo, Sang Won Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title | Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title_full | Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title_fullStr | Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title_full_unstemmed | Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title_short | Concordance in detecting amyloid positivity between (18)F-florbetaben and (18)F-flutemetamol amyloid PET using quantitative and qualitative assessments |
title_sort | concordance in detecting amyloid positivity between (18)f-florbetaben and (18)f-flutemetamol amyloid pet using quantitative and qualitative assessments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658982/ https://www.ncbi.nlm.nih.gov/pubmed/33177593 http://dx.doi.org/10.1038/s41598-020-76102-5 |
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