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Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745

BACKGROUND: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of...

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Autores principales: Sari, Hasan, Erlandsson, Kjell, Marner, Lisbeth, Law, Ian, Larsson, Henrik B.W., Thielemans, Kris, Ourselin, Sébastien, Arridge, Simon, Atkinson, David, Hutton, Brian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029994/
https://www.ncbi.nlm.nih.gov/pubmed/29971517
http://dx.doi.org/10.1186/s13550-018-0412-6
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author Sari, Hasan
Erlandsson, Kjell
Marner, Lisbeth
Law, Ian
Larsson, Henrik B.W.
Thielemans, Kris
Ourselin, Sébastien
Arridge, Simon
Atkinson, David
Hutton, Brian F.
author_facet Sari, Hasan
Erlandsson, Kjell
Marner, Lisbeth
Law, Ian
Larsson, Henrik B.W.
Thielemans, Kris
Ourselin, Sébastien
Arridge, Simon
Atkinson, David
Hutton, Brian F.
author_sort Sari, Hasan
collection PubMed
description BACKGROUND: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. RESULTS: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ((11)C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V (T)) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP (ND)) estimates by 16% compared to the original SIME. Particular improvements were observed in K(1) parameter estimates. BP (ND) estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). CONCLUSIONS: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products.
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spelling pubmed-60299942018-07-23 Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745 Sari, Hasan Erlandsson, Kjell Marner, Lisbeth Law, Ian Larsson, Henrik B.W. Thielemans, Kris Ourselin, Sébastien Arridge, Simon Atkinson, David Hutton, Brian F. EJNMMI Res Original Research BACKGROUND: Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF requires serial arterial blood sampling over the course of the PET scan, which is an invasive procedure and makes this method less practical in clinical settings. Traditional image-derived methods are limited to specific tracers and are not accurate if metabolites are present in the plasma. RESULTS: In this work, we utilise an image-derived whole blood curve measurement to reduce the computational complexity of the simultaneous estimation method (SIME), which is capable of estimating the AIF directly from tissue time activity curves (TACs). This method was applied to data obtained from a serotonin receptor study ((11)C-SB207145) and estimated parameter results are compared to results obtained using the original SIME and gold standard AIFs derived from arterial samples. Reproducibility of the method was assessed using test-retest data. It was shown that the incorporation of image-derived information increased the accuracy of total volume of distribution (V (T)) estimates, averaged across all regions, by 40% and non-displaceable binding potential (BP (ND)) estimates by 16% compared to the original SIME. Particular improvements were observed in K(1) parameter estimates. BP (ND) estimates, based on the proposed method and the gold standard arterial sample-derived AIF, were not significantly different (P=0.7). CONCLUSIONS: The results of this work indicate that the proposed method with prior AIF information obtained from a partial volume corrected image-derived whole blood curve, and modelled parent fraction, has the potential to be used as an alternative non-invasive method to perform kinetic analysis of tracers with metabolite products. Springer Berlin Heidelberg 2018-07-03 /pmc/articles/PMC6029994/ /pubmed/29971517 http://dx.doi.org/10.1186/s13550-018-0412-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Sari, Hasan
Erlandsson, Kjell
Marner, Lisbeth
Law, Ian
Larsson, Henrik B.W.
Thielemans, Kris
Ourselin, Sébastien
Arridge, Simon
Atkinson, David
Hutton, Brian F.
Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title_full Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title_fullStr Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title_full_unstemmed Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title_short Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745
title_sort non-invasive kinetic modelling of pet tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)c-sb201745
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029994/
https://www.ncbi.nlm.nih.gov/pubmed/29971517
http://dx.doi.org/10.1186/s13550-018-0412-6
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