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Abstract
The aim of this standard operational procedure is to standardize the methodology employed for the evaluation of pre- and post-treatment absorbed dose calculations in 90Y microsphere liver radioembolization. Basic assumptions include the permanent trapping of microspheres, the local energy deposition method for voxel dosimetry, and the patient–relative calibration method for activity quantification.The identity of 99mTc albumin macro-aggregates (MAA) and 90Y microsphere biodistribution is also assumed. The large observed discrepancies in some patients between 99mTc-MAA predictions and actual 90Y microsphere distributions for lesions is discussed. Absorbed dose predictions to whole non-tumoural liver are considered more reliable and the basic predictors of toxicity. Treatment planning based on mean absorbed dose delivered to the whole non-tumoural liver is advised, except in super-selective treatments.
Given the potential mismatch between MAA simulation and actual therapy, absorbed doses should be calculated both pre- and post-therapy. Distinct evaluation between target tumours and non-tumoural tissue, including lungs in cases of lung shunt, are vital for proper optimization of therapy. Dosimetry should be performed first according to a mean absorbed dose approach, with an optional, but important, voxel level evaluation. Fully corrected 99mTc-MAA Single Photon Emission Computed Tomography (SPECT)/computed tomography (CT) and 90Y TOF PET/CT are regarded as optimal acquisition methodologies, but, for institutes where SPECT/CT is not available, non-attenuation corrected 99mTc-MAA SPECT may be used. This offers better planning quality than non dosimetric methods such as Body Surface Area (BSA) or mono-compartmental dosimetry. Quantitative 90Y bremsstrahlung SPECT can be used if dedicated correction methods are available.
The proposed methodology is feasible with standard camera software and a spreadsheet. Available commercial or free software can help facilitate the process and improve calculation time.
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1 Nuclear Medicine Unit, Foundation IRCCS Istituto Nazionale Tumori, Milan, Italy (GRID:grid.417893.0) (ISNI:0000 0001 0807 2568)
2 Lund University, Department of Medical Radiation Physics, Lund, Sweden (GRID:grid.4514.4) (ISNI:0000 0001 0930 2361)
3 Université Catholique de Louvain, Nuclear Medicine, Molecular Imaging, Radiotherapy and Oncology Unit (MIRO), IECR, Brussels, Belgium (GRID:grid.7942.8) (ISNI:0000 0001 2294 713X)
4 IRCCS Azienda Ospedaliero-Universitaria di Bologna, Medical Physics Division, Bologna, Italy (GRID:grid.6292.f) (ISNI:0000 0004 1757 1758)
5 Royal Marsden Hospital & Institute of Cancer Research, Joint Department of Physics, Sutton, UK (GRID:grid.6292.f)
6 Oslo University Hospital, Department of Diagnostic Physics, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485)
7 Gurutzeta/Cruces University Hospital, Department of Medical Physics and Radiation Protection, Barakaldo, Spain (GRID:grid.411232.7) (ISNI:0000 0004 1767 5135)
8 University of Gothenburg, Department of Radiation Physics, Institute of Clinical Science, Sahlgrenska Academy, Gothenburg, Sweden (GRID:grid.8761.8) (ISNI:0000 0000 9919 9582); Sahlgrenska University Hospital, Department of Medical Physics and Biomedical Engineering, Gothenburg, Sweden (GRID:grid.1649.a) (ISNI:000000009445082X)
9 Erasmus MC, Department of Radiology and Nuclear Medicine, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:000000040459992X)