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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, A. M. Ferreira, K. M. Lassmann, M. Tran-Gia, J.
Robinson, Andrew P
Calvert, Nick
Tipping, Jill
Denis-Bacelar, A. M.
Ferreira, K. M.
Lassmann, M.
Tran-Gia, J.
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Abstract
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 177Lu 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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Date
2023
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Robinson AP, Calvert N, Tipping J, Denis-Bacelar AM, Ferreira KM, Lassmann M, et al. Development of a validation imaging dataset for Molecular Radiotherapy dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 2023 May;109:102583. PubMed PMID: 37062101. Epub 2023/04/17. eng.