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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals

OBJECTIVE: Amyloid positron emission tomography (PET) with F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) is being used clinically for the evaluation of dementia. These radiopharmaceuticals are commonly used to evaluate the accumulation of beta-amyloid plaques in the bra...

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Autores principales: Jeong, Young Jin, Yoon, Hyun Jin, Kang, Do-Young, Park, Kyung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129914/
https://www.ncbi.nlm.nih.gov/pubmed/36749463
http://dx.doi.org/10.1007/s12149-023-01824-1
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author Jeong, Young Jin
Yoon, Hyun Jin
Kang, Do-Young
Park, Kyung Won
author_facet Jeong, Young Jin
Yoon, Hyun Jin
Kang, Do-Young
Park, Kyung Won
author_sort Jeong, Young Jin
collection PubMed
description OBJECTIVE: Amyloid positron emission tomography (PET) with F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) is being used clinically for the evaluation of dementia. These radiopharmaceuticals are commonly used to evaluate the accumulation of beta-amyloid plaques in the brain, but there are structural differences between them. We investigated whether there are any differences in the imaging characteristics. METHODS: A total of 605 subjects were enrolled retrospectively in this study, including healthy subjects (HS) and patients with mild cognitive impairment or Alzheimer’s disease. Participants underwent amyloid PET imaging using one of the three radiopharmaceuticals. The PET images were analyzed visually and semi-quantitatively using a standardized uptake value ratio (SUVR). In addition, we calculated and compared the cut-off SUVR of the representative regions for each radiopharmaceutical that can distinguish between positive and negative scans. RESULTS: In the negative images of the HS group, the contrast between the white matter and the gray matter was high in the FMM PET images, while striatal uptake was relatively higher in the FPN PET images. The SUVR showed significant differences across the radiopharmaceuticals in all areas except the temporal lobe, but the range of differences was relatively small. Accuracy levels for the global cut-off SUVR to discriminate between positive and negative images were highest in FMM PET, with a value of 0.989. FBB PET also showed a high value of 0.978, while FPN PET showed a relatively low value of 0.901. CONCLUSIONS: Negative amyloid PET images using the three radiopharmaceuticals showed visually and quantitatively similar imaging characteristics except in the striatum. Binary classification using the cut-off of the global cortex showed high accuracy overall, although there were some differences between the three PET images.
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spelling pubmed-101299142023-04-27 Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals Jeong, Young Jin Yoon, Hyun Jin Kang, Do-Young Park, Kyung Won Ann Nucl Med Original Article OBJECTIVE: Amyloid positron emission tomography (PET) with F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) is being used clinically for the evaluation of dementia. These radiopharmaceuticals are commonly used to evaluate the accumulation of beta-amyloid plaques in the brain, but there are structural differences between them. We investigated whether there are any differences in the imaging characteristics. METHODS: A total of 605 subjects were enrolled retrospectively in this study, including healthy subjects (HS) and patients with mild cognitive impairment or Alzheimer’s disease. Participants underwent amyloid PET imaging using one of the three radiopharmaceuticals. The PET images were analyzed visually and semi-quantitatively using a standardized uptake value ratio (SUVR). In addition, we calculated and compared the cut-off SUVR of the representative regions for each radiopharmaceutical that can distinguish between positive and negative scans. RESULTS: In the negative images of the HS group, the contrast between the white matter and the gray matter was high in the FMM PET images, while striatal uptake was relatively higher in the FPN PET images. The SUVR showed significant differences across the radiopharmaceuticals in all areas except the temporal lobe, but the range of differences was relatively small. Accuracy levels for the global cut-off SUVR to discriminate between positive and negative images were highest in FMM PET, with a value of 0.989. FBB PET also showed a high value of 0.978, while FPN PET showed a relatively low value of 0.901. CONCLUSIONS: Negative amyloid PET images using the three radiopharmaceuticals showed visually and quantitatively similar imaging characteristics except in the striatum. Binary classification using the cut-off of the global cortex showed high accuracy overall, although there were some differences between the three PET images. Springer Nature Singapore 2023-02-07 2023 /pmc/articles/PMC10129914/ /pubmed/36749463 http://dx.doi.org/10.1007/s12149-023-01824-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Article
Jeong, Young Jin
Yoon, Hyun Jin
Kang, Do-Young
Park, Kyung Won
Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title_full Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title_fullStr Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title_full_unstemmed Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title_short Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
title_sort quantitative comparative analysis of amyloid pet images using three radiopharmaceuticals
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129914/
https://www.ncbi.nlm.nih.gov/pubmed/36749463
http://dx.doi.org/10.1007/s12149-023-01824-1
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