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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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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. |
format | Online Article Text |
id | pubmed-10129914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
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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