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Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX

PURPOSE: In vivo imaging for the A(1) adenosine receptors (A(1)ARs) with positron emission tomography (PET) using 8-cyclopentyl-3-(3-[(18)F]fluoropropyl)-1-propylxan- thine ([(18)F]CPFPX) has become an important tool for studying physiological processes quantitatively in mice. However, the measureme...

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Autores principales: He, Xuan, Wedekind, Franziska, Kroll, Tina, Oskamp, Angela, Beer, Simone, Drzezga, Alexander, Ermert, Johannes, Neumaier, Bernd, Bauer, Andreas, Elmenhorst, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000659/
https://www.ncbi.nlm.nih.gov/pubmed/32063864
http://dx.doi.org/10.3389/fphys.2019.01617
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author He, Xuan
Wedekind, Franziska
Kroll, Tina
Oskamp, Angela
Beer, Simone
Drzezga, Alexander
Ermert, Johannes
Neumaier, Bernd
Bauer, Andreas
Elmenhorst, David
author_facet He, Xuan
Wedekind, Franziska
Kroll, Tina
Oskamp, Angela
Beer, Simone
Drzezga, Alexander
Ermert, Johannes
Neumaier, Bernd
Bauer, Andreas
Elmenhorst, David
author_sort He, Xuan
collection PubMed
description PURPOSE: In vivo imaging for the A(1) adenosine receptors (A(1)ARs) with positron emission tomography (PET) using 8-cyclopentyl-3-(3-[(18)F]fluoropropyl)-1-propylxan- thine ([(18)F]CPFPX) has become an important tool for studying physiological processes quantitatively in mice. However, the measurement of arterial input functions (AIFs) on mice is a method with restricted applicability because of the small total blood volume and the related difficulties in withdrawing blood. Therefore, the aim of this study was to extract an appropriate [(18)F]CPFPX image-derived input function (IDIF) from dynamic PET images of mice. PROCEDURES: In this study, five mice were scanned with [(18)F]CPFPX for 60 min. Arterial blood samples (n = 7 per animal) were collected from the femoral artery and corrected for metabolites. To generate IDIFs, three different approaches were selected: (A) volume of interest (VOI) placed over the heart (cube, 10 mm); (B) VOI set over abdominal vena cava/aorta region with a cuboid (5 × 5 × 15 mm); and (C) with 1 × 1 × 1 mm voxels on five consecutive slices. A calculated scaling factor (α) was used to correct for partial volume effect; the method of obtaining the total metabolite correction of [(18)F]CPFPX for IDIFs was developed. Three IDIFs were validated by comparison with AIF. Validation included the following: visual performance; computing area under the curve (AUC) ratios (IDIF/AIF) of whole-blood curves and parent curves; and the mean distribution volume (V(T)) ratios (IDIF/AIF) of A(1)ARs calculated by Logan plot and two-tissue compartment model. RESULTS: Compared with the AIF, the IDIF with VOI over heart showed the best performance among the three IDIFs after scaling by 1.77 (α) in terms of visual analysis, AUC ratios (IDIF/AIF; whole-blood AUC ratio, 1.03 ± 0.06; parent curve AUC ratio, 1.01 ± 0.10) and V(T) ratios (IDIF/AIF; Logan V(T) ratio, 1.00 ± 0.17; two-tissue compartment model V(T) ratio, 1.00 ± 0.13) evaluation. The A(1)ARs distribution of average parametric images was in good accordance to autoradiography of the mouse brain. CONCLUSION: The proposed study provides evidence that IDIF with VOI over heart can replace AIF effectively for quantification of A(1)ARs using PET and [(18)F]CPFPX in mice brains.
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spelling pubmed-70006592020-02-14 Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX He, Xuan Wedekind, Franziska Kroll, Tina Oskamp, Angela Beer, Simone Drzezga, Alexander Ermert, Johannes Neumaier, Bernd Bauer, Andreas Elmenhorst, David Front Physiol Physiology PURPOSE: In vivo imaging for the A(1) adenosine receptors (A(1)ARs) with positron emission tomography (PET) using 8-cyclopentyl-3-(3-[(18)F]fluoropropyl)-1-propylxan- thine ([(18)F]CPFPX) has become an important tool for studying physiological processes quantitatively in mice. However, the measurement of arterial input functions (AIFs) on mice is a method with restricted applicability because of the small total blood volume and the related difficulties in withdrawing blood. Therefore, the aim of this study was to extract an appropriate [(18)F]CPFPX image-derived input function (IDIF) from dynamic PET images of mice. PROCEDURES: In this study, five mice were scanned with [(18)F]CPFPX for 60 min. Arterial blood samples (n = 7 per animal) were collected from the femoral artery and corrected for metabolites. To generate IDIFs, three different approaches were selected: (A) volume of interest (VOI) placed over the heart (cube, 10 mm); (B) VOI set over abdominal vena cava/aorta region with a cuboid (5 × 5 × 15 mm); and (C) with 1 × 1 × 1 mm voxels on five consecutive slices. A calculated scaling factor (α) was used to correct for partial volume effect; the method of obtaining the total metabolite correction of [(18)F]CPFPX for IDIFs was developed. Three IDIFs were validated by comparison with AIF. Validation included the following: visual performance; computing area under the curve (AUC) ratios (IDIF/AIF) of whole-blood curves and parent curves; and the mean distribution volume (V(T)) ratios (IDIF/AIF) of A(1)ARs calculated by Logan plot and two-tissue compartment model. RESULTS: Compared with the AIF, the IDIF with VOI over heart showed the best performance among the three IDIFs after scaling by 1.77 (α) in terms of visual analysis, AUC ratios (IDIF/AIF; whole-blood AUC ratio, 1.03 ± 0.06; parent curve AUC ratio, 1.01 ± 0.10) and V(T) ratios (IDIF/AIF; Logan V(T) ratio, 1.00 ± 0.17; two-tissue compartment model V(T) ratio, 1.00 ± 0.13) evaluation. The A(1)ARs distribution of average parametric images was in good accordance to autoradiography of the mouse brain. CONCLUSION: The proposed study provides evidence that IDIF with VOI over heart can replace AIF effectively for quantification of A(1)ARs using PET and [(18)F]CPFPX in mice brains. Frontiers Media S.A. 2020-01-29 /pmc/articles/PMC7000659/ /pubmed/32063864 http://dx.doi.org/10.3389/fphys.2019.01617 Text en Copyright © 2020 He, Wedekind, Kroll, Oskamp, Beer, Drzezga, Ermert, Neumaier, Bauer and Elmenhorst. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
He, Xuan
Wedekind, Franziska
Kroll, Tina
Oskamp, Angela
Beer, Simone
Drzezga, Alexander
Ermert, Johannes
Neumaier, Bernd
Bauer, Andreas
Elmenhorst, David
Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title_full Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title_fullStr Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title_full_unstemmed Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title_short Image-Derived Input Functions for Quantification of A(1) Adenosine Receptors Availability in Mice Brains Using PET and [(18)F]CPFPX
title_sort image-derived input functions for quantification of a(1) adenosine receptors availability in mice brains using pet and [(18)f]cpfpx
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000659/
https://www.ncbi.nlm.nih.gov/pubmed/32063864
http://dx.doi.org/10.3389/fphys.2019.01617
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