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Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function

[(18)F]JNJ-64413739 has been evaluated as PET-ligand for in vivo quantification of purinergic receptor subtype 7 receptor (P2X7R) using Logan graphical analysis with a metabolite-corrected arterial plasma input function. In the context of a P2X7R PET dose occupancy study, we evaluated a minimally in...

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Autores principales: Mertens, Nathalie, Schmidt, Mark E., Hijzen, Anja, Van Weehaeghe, Donatienne, Ravenstijn, Paulien, Depre, Marleen, de Hoon, Jan, Van Laere, Koen, Koole, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352986/
https://www.ncbi.nlm.nih.gov/pubmed/34373571
http://dx.doi.org/10.1038/s41598-021-95715-y
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author Mertens, Nathalie
Schmidt, Mark E.
Hijzen, Anja
Van Weehaeghe, Donatienne
Ravenstijn, Paulien
Depre, Marleen
de Hoon, Jan
Van Laere, Koen
Koole, Michel
author_facet Mertens, Nathalie
Schmidt, Mark E.
Hijzen, Anja
Van Weehaeghe, Donatienne
Ravenstijn, Paulien
Depre, Marleen
de Hoon, Jan
Van Laere, Koen
Koole, Michel
author_sort Mertens, Nathalie
collection PubMed
description [(18)F]JNJ-64413739 has been evaluated as PET-ligand for in vivo quantification of purinergic receptor subtype 7 receptor (P2X7R) using Logan graphical analysis with a metabolite-corrected arterial plasma input function. In the context of a P2X7R PET dose occupancy study, we evaluated a minimally invasive approach by limiting arterial sampling to baseline conditions. Meanwhile, post dose distribution volumes (V(T)) under blocking conditions were estimated by combining baseline blood to plasma ratios and metabolite fractions with an MR angiography driven image derived input function (IDIF). Regional postdose V(T,IDIF) values were compared with corresponding V(T,AIF) estimates using a arterial input function (AIF), in terms of absolute values, test–retest reliability and receptor occupancy. Compared to an invasive AIF approach, postdose V(T,IDIF) values and corresponding receptor occupancies showed only limited bias (Bland–Altman analysis: 0.06 ± 0.27 and 3.1% ± 6.4%) while demonstrating a high correlation (Spearman ρ = 0.78 and ρ = 0.98 respectively). In terms of test–retest reliability, regional intraclass correlation coefficients were 0.98 ± 0.02 for V(T,IDIF) compared to 0.97 ± 0.01 for V(T,AIF.) These results confirmed that a postdose IDIF, guided by MR angiography and using baseline blood and metabolite data, can be considered for accurate [(18)F]JNJ-64413739 PET quantification in a repeated PET study design, thus avoiding multiple invasive arterial sampling and increasing dosing flexibility.
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spelling pubmed-83529862021-08-11 Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function Mertens, Nathalie Schmidt, Mark E. Hijzen, Anja Van Weehaeghe, Donatienne Ravenstijn, Paulien Depre, Marleen de Hoon, Jan Van Laere, Koen Koole, Michel Sci Rep Article [(18)F]JNJ-64413739 has been evaluated as PET-ligand for in vivo quantification of purinergic receptor subtype 7 receptor (P2X7R) using Logan graphical analysis with a metabolite-corrected arterial plasma input function. In the context of a P2X7R PET dose occupancy study, we evaluated a minimally invasive approach by limiting arterial sampling to baseline conditions. Meanwhile, post dose distribution volumes (V(T)) under blocking conditions were estimated by combining baseline blood to plasma ratios and metabolite fractions with an MR angiography driven image derived input function (IDIF). Regional postdose V(T,IDIF) values were compared with corresponding V(T,AIF) estimates using a arterial input function (AIF), in terms of absolute values, test–retest reliability and receptor occupancy. Compared to an invasive AIF approach, postdose V(T,IDIF) values and corresponding receptor occupancies showed only limited bias (Bland–Altman analysis: 0.06 ± 0.27 and 3.1% ± 6.4%) while demonstrating a high correlation (Spearman ρ = 0.78 and ρ = 0.98 respectively). In terms of test–retest reliability, regional intraclass correlation coefficients were 0.98 ± 0.02 for V(T,IDIF) compared to 0.97 ± 0.01 for V(T,AIF.) These results confirmed that a postdose IDIF, guided by MR angiography and using baseline blood and metabolite data, can be considered for accurate [(18)F]JNJ-64413739 PET quantification in a repeated PET study design, thus avoiding multiple invasive arterial sampling and increasing dosing flexibility. Nature Publishing Group UK 2021-08-09 /pmc/articles/PMC8352986/ /pubmed/34373571 http://dx.doi.org/10.1038/s41598-021-95715-y 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 Article
Mertens, Nathalie
Schmidt, Mark E.
Hijzen, Anja
Van Weehaeghe, Donatienne
Ravenstijn, Paulien
Depre, Marleen
de Hoon, Jan
Van Laere, Koen
Koole, Michel
Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title_full Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title_fullStr Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title_full_unstemmed Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title_short Minimally invasive quantification of cerebral P2X7R occupancy using dynamic [(18)F]JNJ-64413739 PET and MRA-driven image derived input function
title_sort minimally invasive quantification of cerebral p2x7r occupancy using dynamic [(18)f]jnj-64413739 pet and mra-driven image derived input function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352986/
https://www.ncbi.nlm.nih.gov/pubmed/34373571
http://dx.doi.org/10.1038/s41598-021-95715-y
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