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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Istituti Editoriali e Poligrafici Internazionali
2023
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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. |
format | Online Article Text |
id | pubmed-10165308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Istituti Editoriali e Poligrafici Internazionali |
record_format | MEDLINE/PubMed |
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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