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Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling
ABSTRACT: Longitudinal mouse PET imaging is becoming increasingly popular due to the large number of transgenic and disease models available but faces challenges. These challenges are related to the small size of the mouse brain and the limited spatial resolution of microPET scanners, along with the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515949/ https://www.ncbi.nlm.nih.gov/pubmed/32211931 http://dx.doi.org/10.1007/s00259-020-04755-5 |
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author | Wimberley, Catriona Nguyen, Duc Loc Truillet, Charles Peyronneau, Marie-Anne Gulhan, Zuhal Tonietto, Matteo Boumezbeur, Fawzi Boisgard, Raphael Chalon, Sylvie Bouilleret, Viviane Buvat, Irène |
author_facet | Wimberley, Catriona Nguyen, Duc Loc Truillet, Charles Peyronneau, Marie-Anne Gulhan, Zuhal Tonietto, Matteo Boumezbeur, Fawzi Boisgard, Raphael Chalon, Sylvie Bouilleret, Viviane Buvat, Irène |
author_sort | Wimberley, Catriona |
collection | PubMed |
description | ABSTRACT: Longitudinal mouse PET imaging is becoming increasingly popular due to the large number of transgenic and disease models available but faces challenges. These challenges are related to the small size of the mouse brain and the limited spatial resolution of microPET scanners, along with the small blood volume making arterial blood sampling challenging and impossible for longitudinal studies. The ability to extract an input function directly from the image would be useful for quantification in longitudinal small animal studies where there is no true reference region available such as TSPO imaging. METHODS: Using dynamic, whole-body (18)F-DPA-714 PET scans (60 min) in a mouse model of hippocampal sclerosis, we applied a factor analysis (FA) approach to extract an image-derived input function (IDIF). This mouse-specific IDIF was then used for 4D-resolution recovery and denoising (4D-RRD) that outputs a dynamic image with better spatial resolution and noise properties, and a map of the total volume of distribution (V(T)) was obtained using a basis function approach in a total of 9 mice with 4 longitudinal PET scans each. We also calculated percent injected dose (%ID) with and without 4D-RRD. The V(T) and %ID parameters were compared to quantified ex vivo autoradiography using regional correlations of the specific binding from autoradiography against V(T) and %ID parameters. RESULTS: The peaks of the IDIFs were strongly correlated with the injected dose (Pearson R = 0.79). The regional correlations between the %ID estimates and autoradiography were R = 0.53 without 4D-RRD and 0.72 with 4D-RRD over all mice and scans. The regional correlations between the V(T) estimates and autoradiography were R = 0.66 without 4D-RRD and 0.79 with application of 4D-RRD over all mice and scans. CONCLUSION: We present a FA approach for IDIF extraction which is robust, reproducible and can be used in quantification methods for resolution recovery, denoising and parameter estimation. We demonstrated that the proposed quantification method yields parameter estimates closer to ex vivo measurements than semi-quantitative methods such as %ID and is immune to tracer binding in tissue unlike reference tissue methods. This approach allows for accurate quantification in longitudinal PET studies in mice while avoiding repeated blood sampling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00259-020-04755-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7515949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75159492020-10-07 Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling Wimberley, Catriona Nguyen, Duc Loc Truillet, Charles Peyronneau, Marie-Anne Gulhan, Zuhal Tonietto, Matteo Boumezbeur, Fawzi Boisgard, Raphael Chalon, Sylvie Bouilleret, Viviane Buvat, Irène Eur J Nucl Med Mol Imaging Original Article ABSTRACT: Longitudinal mouse PET imaging is becoming increasingly popular due to the large number of transgenic and disease models available but faces challenges. These challenges are related to the small size of the mouse brain and the limited spatial resolution of microPET scanners, along with the small blood volume making arterial blood sampling challenging and impossible for longitudinal studies. The ability to extract an input function directly from the image would be useful for quantification in longitudinal small animal studies where there is no true reference region available such as TSPO imaging. METHODS: Using dynamic, whole-body (18)F-DPA-714 PET scans (60 min) in a mouse model of hippocampal sclerosis, we applied a factor analysis (FA) approach to extract an image-derived input function (IDIF). This mouse-specific IDIF was then used for 4D-resolution recovery and denoising (4D-RRD) that outputs a dynamic image with better spatial resolution and noise properties, and a map of the total volume of distribution (V(T)) was obtained using a basis function approach in a total of 9 mice with 4 longitudinal PET scans each. We also calculated percent injected dose (%ID) with and without 4D-RRD. The V(T) and %ID parameters were compared to quantified ex vivo autoradiography using regional correlations of the specific binding from autoradiography against V(T) and %ID parameters. RESULTS: The peaks of the IDIFs were strongly correlated with the injected dose (Pearson R = 0.79). The regional correlations between the %ID estimates and autoradiography were R = 0.53 without 4D-RRD and 0.72 with 4D-RRD over all mice and scans. The regional correlations between the V(T) estimates and autoradiography were R = 0.66 without 4D-RRD and 0.79 with application of 4D-RRD over all mice and scans. CONCLUSION: We present a FA approach for IDIF extraction which is robust, reproducible and can be used in quantification methods for resolution recovery, denoising and parameter estimation. We demonstrated that the proposed quantification method yields parameter estimates closer to ex vivo measurements than semi-quantitative methods such as %ID and is immune to tracer binding in tissue unlike reference tissue methods. This approach allows for accurate quantification in longitudinal PET studies in mice while avoiding repeated blood sampling. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00259-020-04755-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-03-24 2020 /pmc/articles/PMC7515949/ /pubmed/32211931 http://dx.doi.org/10.1007/s00259-020-04755-5 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Article Wimberley, Catriona Nguyen, Duc Loc Truillet, Charles Peyronneau, Marie-Anne Gulhan, Zuhal Tonietto, Matteo Boumezbeur, Fawzi Boisgard, Raphael Chalon, Sylvie Bouilleret, Viviane Buvat, Irène Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title | Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title_full | Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title_fullStr | Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title_full_unstemmed | Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title_short | Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
title_sort | longitudinal mouse-pet imaging: a reliable method for estimating binding parameters without a reference region or blood sampling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515949/ https://www.ncbi.nlm.nih.gov/pubmed/32211931 http://dx.doi.org/10.1007/s00259-020-04755-5 |
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