Robinson, A P; Calvert, N; Tipping, J; Denis-Bacelar, A M; Ferreira, K M; Lassmann, M; Tran-Gia, J (2023) Development of a validation imaging dataset for molecular radiation dosimetry multicenter intercomparison exercises based on anthropomorphic phantoms. Physica Medica, 109. 102583

Preview

Text eid9742.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

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

Item Type:	Article
Keywords:	MRT dosimetry, Phantom, Lu-177, Validation
Subjects:	Ionising Radiation > Radioactivity
Divisions:	Medical, Marine & Nuclear
Identification number/DOI:	10.1016/j.ejmp.2023.102583
Last Modified:	24 May 2023 13:48
URI:	https://eprintspublications.npl.co.uk/id/eprint/9742