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An update on the use of image-derived input functions for human PET studies: new hopes or old illusions?
BACKGROUND: The need for arterial blood data in quantitative PET research limits the wider usability of this imaging method in clinical research settings. Image-derived input function (IDIF) approaches have been proposed as a cost-effective and non-invasive alternative to gold-standard arterial samp...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638226/ https://www.ncbi.nlm.nih.gov/pubmed/37947880 http://dx.doi.org/10.1186/s13550-023-01050-w |
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author | Volpi, Tommaso Maccioni, Lucia Colpo, Maria Debiasi, Giulia Capotosti, Amedeo Ciceri, Tommaso Carson, Richard E. DeLorenzo, Christine Hahn, Andreas Knudsen, Gitte Moos Lammertsma, Adriaan A. Price, Julie C. Sossi, Vesna Wang, Guobao Zanotti-Fregonara, Paolo Bertoldo, Alessandra Veronese, Mattia |
author_facet | Volpi, Tommaso Maccioni, Lucia Colpo, Maria Debiasi, Giulia Capotosti, Amedeo Ciceri, Tommaso Carson, Richard E. DeLorenzo, Christine Hahn, Andreas Knudsen, Gitte Moos Lammertsma, Adriaan A. Price, Julie C. Sossi, Vesna Wang, Guobao Zanotti-Fregonara, Paolo Bertoldo, Alessandra Veronese, Mattia |
author_sort | Volpi, Tommaso |
collection | PubMed |
description | BACKGROUND: The need for arterial blood data in quantitative PET research limits the wider usability of this imaging method in clinical research settings. Image-derived input function (IDIF) approaches have been proposed as a cost-effective and non-invasive alternative to gold-standard arterial sampling. However, this approach comes with its own limitations—partial volume effects and radiometabolite correction among the most important—and varying rates of success, and the use of IDIF for brain PET has been particularly troublesome. MAIN BODY: This paper summarizes the limitations of IDIF methods for quantitative PET imaging and discusses some of the advances that may make IDIF extraction more reliable. The introduction of automated pipelines (both commercial and open-source) for clinical PET scanners is discussed as a way to improve the reliability of IDIF approaches and their utility for quantitative purposes. Survey data gathered from the PET community are then presented to understand whether the field’s opinion of the usefulness and validity of IDIF is improving. Finally, as the introduction of next-generation PET scanners with long axial fields of view, ultra-high sensitivity, and improved spatial and temporal resolution, has also brought IDIF methods back into the spotlight, a discussion of the possibilities offered by these state-of-the-art scanners—inclusion of large vessels, less partial volume in small vessels, better description of the full IDIF kinetics, whole-body modeling of radiometabolite production—is included, providing a pathway for future use of IDIF. CONCLUSION: Improvements in PET scanner technology and software for automated IDIF extraction may allow to solve some of the major limitations associated with IDIF, such as partial volume effects and poor temporal sampling, with the exciting potential for accurate estimation of single kinetic rates. Nevertheless, until individualized radiometabolite correction can be performed effectively, IDIF approaches remain confined at best to a few tracers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-023-01050-w. |
format | Online Article Text |
id | pubmed-10638226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106382262023-11-11 An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? Volpi, Tommaso Maccioni, Lucia Colpo, Maria Debiasi, Giulia Capotosti, Amedeo Ciceri, Tommaso Carson, Richard E. DeLorenzo, Christine Hahn, Andreas Knudsen, Gitte Moos Lammertsma, Adriaan A. Price, Julie C. Sossi, Vesna Wang, Guobao Zanotti-Fregonara, Paolo Bertoldo, Alessandra Veronese, Mattia EJNMMI Res Review BACKGROUND: The need for arterial blood data in quantitative PET research limits the wider usability of this imaging method in clinical research settings. Image-derived input function (IDIF) approaches have been proposed as a cost-effective and non-invasive alternative to gold-standard arterial sampling. However, this approach comes with its own limitations—partial volume effects and radiometabolite correction among the most important—and varying rates of success, and the use of IDIF for brain PET has been particularly troublesome. MAIN BODY: This paper summarizes the limitations of IDIF methods for quantitative PET imaging and discusses some of the advances that may make IDIF extraction more reliable. The introduction of automated pipelines (both commercial and open-source) for clinical PET scanners is discussed as a way to improve the reliability of IDIF approaches and their utility for quantitative purposes. Survey data gathered from the PET community are then presented to understand whether the field’s opinion of the usefulness and validity of IDIF is improving. Finally, as the introduction of next-generation PET scanners with long axial fields of view, ultra-high sensitivity, and improved spatial and temporal resolution, has also brought IDIF methods back into the spotlight, a discussion of the possibilities offered by these state-of-the-art scanners—inclusion of large vessels, less partial volume in small vessels, better description of the full IDIF kinetics, whole-body modeling of radiometabolite production—is included, providing a pathway for future use of IDIF. CONCLUSION: Improvements in PET scanner technology and software for automated IDIF extraction may allow to solve some of the major limitations associated with IDIF, such as partial volume effects and poor temporal sampling, with the exciting potential for accurate estimation of single kinetic rates. Nevertheless, until individualized radiometabolite correction can be performed effectively, IDIF approaches remain confined at best to a few tracers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-023-01050-w. Springer Berlin Heidelberg 2023-11-10 /pmc/articles/PMC10638226/ /pubmed/37947880 http://dx.doi.org/10.1186/s13550-023-01050-w Text en © The Author(s) 2023 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 Volpi, Tommaso Maccioni, Lucia Colpo, Maria Debiasi, Giulia Capotosti, Amedeo Ciceri, Tommaso Carson, Richard E. DeLorenzo, Christine Hahn, Andreas Knudsen, Gitte Moos Lammertsma, Adriaan A. Price, Julie C. Sossi, Vesna Wang, Guobao Zanotti-Fregonara, Paolo Bertoldo, Alessandra Veronese, Mattia An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title | An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title_full | An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title_fullStr | An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title_full_unstemmed | An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title_short | An update on the use of image-derived input functions for human PET studies: new hopes or old illusions? |
title_sort | update on the use of image-derived input functions for human pet studies: new hopes or old illusions? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638226/ https://www.ncbi.nlm.nih.gov/pubmed/37947880 http://dx.doi.org/10.1186/s13550-023-01050-w |
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