Cargando…

Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study

PURPOSE: Zirconium-89-immuno-positron emission tomography ((89)Zr-immuno-PET) has enabled visualization of zirconium-89 labelled monoclonal antibody ((89)Zr-mAb) uptake in organs and tumors in vivo. Patlak linearization of (89)Zr-immuno-PET quantification data allows for separation of reversible and...

Descripción completa

Detalles Bibliográficos
Autores principales: Wijngaarden, Jessica E., Huisman, Marc C., Pouw, Johanna E. E., Menke-van der Houven van Oordt, C. Willemien, Jauw, Yvonne W. S., Boellaard, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445120/
https://www.ncbi.nlm.nih.gov/pubmed/36065038
http://dx.doi.org/10.1186/s13550-022-00927-6
_version_ 1784783356371664896
author Wijngaarden, Jessica E.
Huisman, Marc C.
Pouw, Johanna E. E.
Menke-van der Houven van Oordt, C. Willemien
Jauw, Yvonne W. S.
Boellaard, Ronald
author_facet Wijngaarden, Jessica E.
Huisman, Marc C.
Pouw, Johanna E. E.
Menke-van der Houven van Oordt, C. Willemien
Jauw, Yvonne W. S.
Boellaard, Ronald
author_sort Wijngaarden, Jessica E.
collection PubMed
description PURPOSE: Zirconium-89-immuno-positron emission tomography ((89)Zr-immuno-PET) has enabled visualization of zirconium-89 labelled monoclonal antibody ((89)Zr-mAb) uptake in organs and tumors in vivo. Patlak linearization of (89)Zr-immuno-PET quantification data allows for separation of reversible and irreversible uptake, by combining multiple blood samples and PET images at different days. As one can obtain only a limited number of blood samples and scans per patient, choosing the optimal time points is important. Tissue activity concentration curves were simulated to evaluate the effect of imaging time points on Patlak results, considering different time points, input functions, noise levels and levels of reversible and irreversible uptake. METHODS: Based on (89)Zr-mAb input functions and reference values for reversible (V(T)) and irreversible (K(i)) uptake from literature, multiple tissue activity curves were simulated. Three different (89)Zr-mAb input functions, five time points between 24 and 192 h p.i., noise levels of 5, 10 and 15%, and three reference K(i) and V(T) values were considered. Simulated K(i) and V(T) were calculated (Patlak linearization) for a thousand repetitions. Accuracy and precision of Patlak linearization were evaluated by comparing simulated K(i) and V(T) with reference values. RESULTS: Simulations showed that K(i) is always underestimated. Inclusion of time point 24 h p.i. reduced bias and variability in V(T), and slightly reduced bias and variability in K(i), as compared to combinations of three later time points. After inclusion of 24 h p.i., minimal differences were found in bias and variability between different combinations of later imaging time points, despite different input functions, noise levels and reference values. CONCLUSION: Inclusion of a blood sample and PET scan at 24 h p.i. improves accuracy and precision of Patlak results for (89)Zr-immuno-PET; the exact timing of the two later time points is not critical. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-022-00927-6.
format Online
Article
Text
id pubmed-9445120
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-94451202022-09-07 Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study Wijngaarden, Jessica E. Huisman, Marc C. Pouw, Johanna E. E. Menke-van der Houven van Oordt, C. Willemien Jauw, Yvonne W. S. Boellaard, Ronald EJNMMI Res Original Research PURPOSE: Zirconium-89-immuno-positron emission tomography ((89)Zr-immuno-PET) has enabled visualization of zirconium-89 labelled monoclonal antibody ((89)Zr-mAb) uptake in organs and tumors in vivo. Patlak linearization of (89)Zr-immuno-PET quantification data allows for separation of reversible and irreversible uptake, by combining multiple blood samples and PET images at different days. As one can obtain only a limited number of blood samples and scans per patient, choosing the optimal time points is important. Tissue activity concentration curves were simulated to evaluate the effect of imaging time points on Patlak results, considering different time points, input functions, noise levels and levels of reversible and irreversible uptake. METHODS: Based on (89)Zr-mAb input functions and reference values for reversible (V(T)) and irreversible (K(i)) uptake from literature, multiple tissue activity curves were simulated. Three different (89)Zr-mAb input functions, five time points between 24 and 192 h p.i., noise levels of 5, 10 and 15%, and three reference K(i) and V(T) values were considered. Simulated K(i) and V(T) were calculated (Patlak linearization) for a thousand repetitions. Accuracy and precision of Patlak linearization were evaluated by comparing simulated K(i) and V(T) with reference values. RESULTS: Simulations showed that K(i) is always underestimated. Inclusion of time point 24 h p.i. reduced bias and variability in V(T), and slightly reduced bias and variability in K(i), as compared to combinations of three later time points. After inclusion of 24 h p.i., minimal differences were found in bias and variability between different combinations of later imaging time points, despite different input functions, noise levels and reference values. CONCLUSION: Inclusion of a blood sample and PET scan at 24 h p.i. improves accuracy and precision of Patlak results for (89)Zr-immuno-PET; the exact timing of the two later time points is not critical. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-022-00927-6. Springer Berlin Heidelberg 2022-09-05 /pmc/articles/PMC9445120/ /pubmed/36065038 http://dx.doi.org/10.1186/s13550-022-00927-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Original Research
Wijngaarden, Jessica E.
Huisman, Marc C.
Pouw, Johanna E. E.
Menke-van der Houven van Oordt, C. Willemien
Jauw, Yvonne W. S.
Boellaard, Ronald
Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title_full Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title_fullStr Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title_full_unstemmed Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title_short Optimal imaging time points considering accuracy and precision of Patlak linearization for (89)Zr-immuno-PET: a simulation study
title_sort optimal imaging time points considering accuracy and precision of patlak linearization for (89)zr-immuno-pet: a simulation study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445120/
https://www.ncbi.nlm.nih.gov/pubmed/36065038
http://dx.doi.org/10.1186/s13550-022-00927-6
work_keys_str_mv AT wijngaardenjessicae optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy
AT huismanmarcc optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy
AT pouwjohannaee optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy
AT menkevanderhouvenvanoordtcwillemien optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy
AT jauwyvonnews optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy
AT boellaardronald optimalimagingtimepointsconsideringaccuracyandprecisionofpatlaklinearizationfor89zrimmunopetasimulationstudy