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Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography

BACKGROUND: The purpose of this study was to assess the feasibility of using a minimally invasive simultaneous estimation method (SIME) to quantify the binding of the 18-kDa translocator protein tracer [(18)F]FEPPA. Arterial sampling was avoided by extracting an image-derived input function (IDIF) t...

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Autores principales: Dassanayake, Praveen, Anazodo, Udunna C., Liu, Linshan, Narciso, Lucas, Iacobelli, Maryssa, Hicks, Justin, Rusjan, Pablo, Finger, Elizabeth, St Lawrence, Keith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837356/
https://www.ncbi.nlm.nih.gov/pubmed/36633702
http://dx.doi.org/10.1186/s13550-023-00950-1
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author Dassanayake, Praveen
Anazodo, Udunna C.
Liu, Linshan
Narciso, Lucas
Iacobelli, Maryssa
Hicks, Justin
Rusjan, Pablo
Finger, Elizabeth
St Lawrence, Keith
author_facet Dassanayake, Praveen
Anazodo, Udunna C.
Liu, Linshan
Narciso, Lucas
Iacobelli, Maryssa
Hicks, Justin
Rusjan, Pablo
Finger, Elizabeth
St Lawrence, Keith
author_sort Dassanayake, Praveen
collection PubMed
description BACKGROUND: The purpose of this study was to assess the feasibility of using a minimally invasive simultaneous estimation method (SIME) to quantify the binding of the 18-kDa translocator protein tracer [(18)F]FEPPA. Arterial sampling was avoided by extracting an image-derived input function (IDIF) that was metabolite-corrected using venous blood samples. The possibility of reducing scan duration to 90 min from the recommended 2–3 h was investigated by assuming a uniform non-displaceable distribution volume (V(ND)) to simplify the SIME fitting. RESULTS: SIME was applied to retrospective data from healthy volunteers and was comprised of both high-affinity binders (HABs) and mixed-affinity binders (MABs). Estimates of global V(ND) and regional total distribution volume (V(T)) from SIME were not significantly different from values obtained using a two-tissue compartment model (2CTM). Regional V(T) estimates were greater for HABs compared to MABs for both the 2TCM and SIME, while the SIME estimates had lower inter-subject variability (41 ± 17% reduction). Binding potential (BP(ND)) values calculated from regional V(T) and brain-wide V(ND) estimates were also greater for HABs, and reducing the scan time from 120 to 90 min had no significant effect on BP(ND). The feasibility of using venous metabolite correction was evaluated in a large animal model involving a simultaneous collection of arterial and venous samples. Strong linear correlations were found between venous and arterial measurements of the blood-to-plasma ratio and the remaining [(18)F]FEPPA fraction. Lastly, estimates of BP(ND) and the specific distribution volume (i.e., V(S) = V(T) − V(ND)) from a separate group of healthy volunteers (90 min scan time, venous-scaled IDIFs) agreed with estimates from the retrospective data for both genotypes. CONCLUSIONS: The results of this study demonstrate that accurate estimates of regional V(T), BP(ND) and V(S) can be obtained by applying SIME to [(18)F]FEPPA data. Furthermore, the application of SIME enabled the scan time to be reduced to 90 min, and the approach worked well with IDIFs that were scaled and metabolite-corrected using venous blood samples.
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spelling pubmed-98373562023-01-14 Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography Dassanayake, Praveen Anazodo, Udunna C. Liu, Linshan Narciso, Lucas Iacobelli, Maryssa Hicks, Justin Rusjan, Pablo Finger, Elizabeth St Lawrence, Keith EJNMMI Res Original Research BACKGROUND: The purpose of this study was to assess the feasibility of using a minimally invasive simultaneous estimation method (SIME) to quantify the binding of the 18-kDa translocator protein tracer [(18)F]FEPPA. Arterial sampling was avoided by extracting an image-derived input function (IDIF) that was metabolite-corrected using venous blood samples. The possibility of reducing scan duration to 90 min from the recommended 2–3 h was investigated by assuming a uniform non-displaceable distribution volume (V(ND)) to simplify the SIME fitting. RESULTS: SIME was applied to retrospective data from healthy volunteers and was comprised of both high-affinity binders (HABs) and mixed-affinity binders (MABs). Estimates of global V(ND) and regional total distribution volume (V(T)) from SIME were not significantly different from values obtained using a two-tissue compartment model (2CTM). Regional V(T) estimates were greater for HABs compared to MABs for both the 2TCM and SIME, while the SIME estimates had lower inter-subject variability (41 ± 17% reduction). Binding potential (BP(ND)) values calculated from regional V(T) and brain-wide V(ND) estimates were also greater for HABs, and reducing the scan time from 120 to 90 min had no significant effect on BP(ND). The feasibility of using venous metabolite correction was evaluated in a large animal model involving a simultaneous collection of arterial and venous samples. Strong linear correlations were found between venous and arterial measurements of the blood-to-plasma ratio and the remaining [(18)F]FEPPA fraction. Lastly, estimates of BP(ND) and the specific distribution volume (i.e., V(S) = V(T) − V(ND)) from a separate group of healthy volunteers (90 min scan time, venous-scaled IDIFs) agreed with estimates from the retrospective data for both genotypes. CONCLUSIONS: The results of this study demonstrate that accurate estimates of regional V(T), BP(ND) and V(S) can be obtained by applying SIME to [(18)F]FEPPA data. Furthermore, the application of SIME enabled the scan time to be reduced to 90 min, and the approach worked well with IDIFs that were scaled and metabolite-corrected using venous blood samples. Springer Berlin Heidelberg 2023-01-12 /pmc/articles/PMC9837356/ /pubmed/36633702 http://dx.doi.org/10.1186/s13550-023-00950-1 Text en © The Author(s) 2023 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
Dassanayake, Praveen
Anazodo, Udunna C.
Liu, Linshan
Narciso, Lucas
Iacobelli, Maryssa
Hicks, Justin
Rusjan, Pablo
Finger, Elizabeth
St Lawrence, Keith
Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title_full Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title_fullStr Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title_full_unstemmed Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title_short Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)F]FEPPA positron emission tomography
title_sort development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [(18)f]feppa positron emission tomography
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837356/
https://www.ncbi.nlm.nih.gov/pubmed/36633702
http://dx.doi.org/10.1186/s13550-023-00950-1
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