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Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain
PURPOSE: Translocator protein 18-kDa (TSPO) imaging with positron emission tomography (PET) is widely used in research studies of brain diseases that have a neuro-immune component. Quantification of TSPO PET images, however, is associated with several challenges, such as the lack of a reference regi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712306/ https://www.ncbi.nlm.nih.gov/pubmed/33693967 http://dx.doi.org/10.1007/s00259-021-05248-9 |
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author | Wimberley, Catriona Lavisse, Sonia Hillmer, Ansel Hinz, Rainer Turkheimer, Federico Zanotti-Fregonara, Paolo |
author_facet | Wimberley, Catriona Lavisse, Sonia Hillmer, Ansel Hinz, Rainer Turkheimer, Federico Zanotti-Fregonara, Paolo |
author_sort | Wimberley, Catriona |
collection | PubMed |
description | PURPOSE: Translocator protein 18-kDa (TSPO) imaging with positron emission tomography (PET) is widely used in research studies of brain diseases that have a neuro-immune component. Quantification of TSPO PET images, however, is associated with several challenges, such as the lack of a reference region, a genetic polymorphism affecting the affinity of the ligand for TSPO, and a strong TSPO signal in the endothelium of the brain vessels. These challenges have created an ongoing debate in the field about which type of quantification is most useful and whether there is an appropriate simplified model. METHODS: This review focuses on the quantification of TSPO radioligands in the human brain. The various methods of quantification are summarized, including the gold standard of compartmental modeling with metabolite-corrected input function as well as various alternative models and non-invasive approaches. Their advantages and drawbacks are critically assessed. RESULTS AND CONCLUSIONS: Researchers employing quantification methods for TSPO should understand the advantages and limitations associated with each method. Suggestions are given to help researchers choose between these viable alternative methods. |
format | Online Article Text |
id | pubmed-8712306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87123062022-01-11 Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain Wimberley, Catriona Lavisse, Sonia Hillmer, Ansel Hinz, Rainer Turkheimer, Federico Zanotti-Fregonara, Paolo Eur J Nucl Med Mol Imaging Review Article PURPOSE: Translocator protein 18-kDa (TSPO) imaging with positron emission tomography (PET) is widely used in research studies of brain diseases that have a neuro-immune component. Quantification of TSPO PET images, however, is associated with several challenges, such as the lack of a reference region, a genetic polymorphism affecting the affinity of the ligand for TSPO, and a strong TSPO signal in the endothelium of the brain vessels. These challenges have created an ongoing debate in the field about which type of quantification is most useful and whether there is an appropriate simplified model. METHODS: This review focuses on the quantification of TSPO radioligands in the human brain. The various methods of quantification are summarized, including the gold standard of compartmental modeling with metabolite-corrected input function as well as various alternative models and non-invasive approaches. Their advantages and drawbacks are critically assessed. RESULTS AND CONCLUSIONS: Researchers employing quantification methods for TSPO should understand the advantages and limitations associated with each method. Suggestions are given to help researchers choose between these viable alternative methods. Springer Berlin Heidelberg 2021-03-11 2021 /pmc/articles/PMC8712306/ /pubmed/33693967 http://dx.doi.org/10.1007/s00259-021-05248-9 Text en © The Author(s) 2021 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 | Review Article Wimberley, Catriona Lavisse, Sonia Hillmer, Ansel Hinz, Rainer Turkheimer, Federico Zanotti-Fregonara, Paolo Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title | Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title_full | Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title_fullStr | Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title_full_unstemmed | Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title_short | Kinetic modeling and parameter estimation of TSPO PET imaging in the human brain |
title_sort | kinetic modeling and parameter estimation of tspo pet imaging in the human brain |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712306/ https://www.ncbi.nlm.nih.gov/pubmed/33693967 http://dx.doi.org/10.1007/s00259-021-05248-9 |
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