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Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms

Validation of a Molecular Radiotherapy (MRT) dosimetry system requires imaging data for which an accompanying “ground truth” pharmacokinetic model and absorbed dose calculation are known. METHODS: We present a methodology for production of a validation dataset for image based (177)Lu dotatate dosime...

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Autores principales: Robinson, Andrew P., Calvert, Nick, Tipping, Jill, Denis-Bacelar, Ana M., Ferreira, Kelley M., Lassmann, Michael, Tran-Gia, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Istituti Editoriali e Poligrafici Internazionali 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165308/
https://www.ncbi.nlm.nih.gov/pubmed/37062101
http://dx.doi.org/10.1016/j.ejmp.2023.102583
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author Robinson, Andrew P.
Calvert, Nick
Tipping, Jill
Denis-Bacelar, Ana M.
Ferreira, Kelley M.
Lassmann, Michael
Tran-Gia, Johannes
author_facet Robinson, Andrew P.
Calvert, Nick
Tipping, Jill
Denis-Bacelar, Ana M.
Ferreira, Kelley M.
Lassmann, Michael
Tran-Gia, Johannes
author_sort Robinson, Andrew P.
collection PubMed
description Validation of a Molecular Radiotherapy (MRT) dosimetry system requires imaging data for which an accompanying “ground truth” pharmacokinetic model and absorbed dose calculation are known. METHODS: We present a methodology for production of a validation dataset for image based (177)Lu dotatate dosimetry calculations. A pharmacokinetic model is presented with activity concentrations corresponding to common imaging timepoints. Anthropomorphic 3D printed phantoms, corresponding to the organs at risk, have been developed to provide SPECT/CT and Whole Body imaging with known organ activities corresponding to common clinical timepoints. RESULTS: Results for the accuracy of phantom filling reproduce the activity concentrations from the pharmacokinetic model for all timepoints and organs within measurement uncertainties, with a mean deviation of 0.6(8)%. The imaging dataset, ancillary data and phantoms designs are provided as a source of well characterized input data for the validation of clinical MRT dosimetry systems. CONCLUSIONS: The combination of pharmacokinetic modelling with the use of anthropomorphic 3D printed phantoms are a promising procedure to provide data for the validation of Molecular Radiotherapy Dosimetry systems, allowing multicentre comparisons.
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spelling pubmed-101653082023-05-09 Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms Robinson, Andrew P. Calvert, Nick Tipping, Jill Denis-Bacelar, Ana M. Ferreira, Kelley M. Lassmann, Michael Tran-Gia, Johannes Phys Med Original Paper Validation of a Molecular Radiotherapy (MRT) dosimetry system requires imaging data for which an accompanying “ground truth” pharmacokinetic model and absorbed dose calculation are known. METHODS: We present a methodology for production of a validation dataset for image based (177)Lu dotatate dosimetry calculations. A pharmacokinetic model is presented with activity concentrations corresponding to common imaging timepoints. Anthropomorphic 3D printed phantoms, corresponding to the organs at risk, have been developed to provide SPECT/CT and Whole Body imaging with known organ activities corresponding to common clinical timepoints. RESULTS: Results for the accuracy of phantom filling reproduce the activity concentrations from the pharmacokinetic model for all timepoints and organs within measurement uncertainties, with a mean deviation of 0.6(8)%. The imaging dataset, ancillary data and phantoms designs are provided as a source of well characterized input data for the validation of clinical MRT dosimetry systems. CONCLUSIONS: The combination of pharmacokinetic modelling with the use of anthropomorphic 3D printed phantoms are a promising procedure to provide data for the validation of Molecular Radiotherapy Dosimetry systems, allowing multicentre comparisons. Istituti Editoriali e Poligrafici Internazionali 2023-05 /pmc/articles/PMC10165308/ /pubmed/37062101 http://dx.doi.org/10.1016/j.ejmp.2023.102583 Text en © 2023 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Paper
Robinson, Andrew P.
Calvert, Nick
Tipping, Jill
Denis-Bacelar, Ana M.
Ferreira, Kelley M.
Lassmann, Michael
Tran-Gia, Johannes
Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title_full Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title_fullStr Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title_full_unstemmed Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title_short Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
title_sort development of a validation imaging dataset for molecular radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165308/
https://www.ncbi.nlm.nih.gov/pubmed/37062101
http://dx.doi.org/10.1016/j.ejmp.2023.102583
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