Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wimberley, Catriona, Nguyen, Duc Loc, Truillet, Charles, Peyronneau, Marie-Anne, Gulhan, Zuhal, Tonietto, Matteo, Boumezbeur, Fawzi, Boisgard, Raphael, Chalon, Sylvie, Bouilleret, Viviane, Buvat, Irène
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
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
_version_ 1783586909185900544
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
work_keys_str_mv AT wimberleycatriona longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT nguyenducloc longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT truilletcharles longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT peyronneaumarieanne longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT gulhanzuhal longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT toniettomatteo longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT boumezbeurfawzi longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT boisgardraphael longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT chalonsylvie longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT bouilleretviviane longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling
AT buvatirene longitudinalmousepetimagingareliablemethodforestimatingbindingparameterswithoutareferenceregionorbloodsampling