18F-FES radiation dosimetry preliminary estimates for preclinical studies based on voxelized phantom

Andréa Vidal Ferreira; Ana Carolina Araujo Bispo; Christiane Silva Leite; Juliana Batista da Silva; Marcelo Mamede; Rodrigo Modesto Gadelha Gontijo; Bruno Melo Mendes

doi:10.15392/2319-0612.2022.2089

Authors

Andréa Vidal Ferreira Centro de Desenvolvimento da Tecnologia Nuclear CDTN/CNEN https://orcid.org/0000-0001-7698-4323
Ana Carolina Araujo Bispo Centro de Desenvolvimento da Tecnologia Nuclear https://orcid.org/0000-0002-1934-9881
Christiane Silva Leite Centro de Desenvolvimento da Tecnologia Nuclear https://orcid.org/0000-0003-3336-8912
Juliana Batista da Silva Centro de Desenvolvimento da Tecnologia Nuclear https://orcid.org/0000-0002-0794-1896
Marcelo Mamede Universidade Federal de Minas Gerais (UFMG) https://orcid.org/0000-0001-5818-0954
Rodrigo Modesto Gadelha Gontijo Universidade Federal de Minas Gerais (UFMG) https://orcid.org/0000-0001-6479-3087
Bruno Melo Mendes Centro de Desenvolvimento da Tecnologia Nuclear https://orcid.org/0000-0002-8914-8022

DOI:

https://doi.org/10.15392/2319-0612.2022.2089

Keywords:

radiation dosimetry,, 18F-FES, preclinical studies

Abstract

Small animals, such as mice, are used in radiopharmaceutical biodistribution studies and innumerous others preclinical investigations involving ionizing radiation. Longitudinal preclinical studies with five or more image procedures, involving radiopharmaceuticals injection and/or X-radiation, are not uncommon. However, a suitable dosimetric evaluation is not always available and, sometimes, absorbed doses in animal organs or tissues and their influence in experimental results were not appropriately taken into account. Accurate calculation of absorbed doses in mice organs are needed to evaluate potential radiobiological effects that may interfere with in vivo experiments. In this work, we perform a preliminary 16α-[¹⁸F]-fluoro-17β-estradiol (¹⁸F-FES) radiation dosimetry estimates for female mice. The obtained animal dosimetric results can be useful for evaluating animal doses during the design of longitudinal preclinical studies.

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References

INCA – Instituto Nacional do Câncer José Alencar Gomes da Silva. Estimativa 2014: Incidência de Câncer no Brasil. Rio de Janeiro: INCA, 2014.

FLANAGAN, F. L et al., PET in Breast Cancer. Semin Nucl Med, v. 28, p. 290-302, 1998. DOI: https://doi.org/10.1016/S0001-2998(98)80034-2

LINDEN, H. M. L et DEHDASHTI, F. Novel Methods and Tracers for Breast Cancer Imaging, Semin. Nuc. Med. v. 43, n. 4, p. 324-329 2013. DOI: https://doi.org/10.1053/j.semnuclmed.2013.02.003

ALAM, I. S. et al., Radiopharmaceuticals as probes to characterize tumor tissue, Eur. J. Nuc. Med. Mol. Imag. v. 42, n. 4, p. 537-561, 2015. DOI: https://doi.org/10.1007/s00259-014-2984-3

SUDARARAJAN, L. et al., 18F-Fluoroestradiol, Semin Nucl Med, v. 37, n. 6, p. 470-476, 2007. DOI: https://doi.org/10.1053/j.semnuclmed.2007.08.003

ORDINAS, H. E. et al., PET imaging to non-invasively study immune activation leading to antitumor responses with a 4-1BB agonistic antibody, J. Immunother. Cancer, v. 1, n. 14, p. 1-11, 2013. DOI: https://doi.org/10.1186/2051-1426-1-14

WANG, Y. et al., [18F]DPA-714 PET Imaging of AMD3100 Treatment in a Mouse Model of Stroke, Mol. Pharm., v. 11, p. 3463-3470, 2014. DOI: https://doi.org/10.1021/mp500234d

VAHLE, A.K. et al., Multimodal imaging analysis of an orthotopic head and neck cancer mouse model and application of anti-CD137 tumor immune therapy, Head Neck, v. 38, n. 4, p. 542-529, 2016. DOI: https://doi.org/10.1002/hed.23929

STELLAS, D. et al., Therapeutic Effects of an Anti-Myc Drug on Mouse Pancreatic Cancer, J. Natl. Cancer Inst., v. 106, n. 12, p. 1-8, 2014. DOI: https://doi.org/10.1093/jnci/dju320

REX, K. et al., Evaluation of the antitumor effects of rilotumumab by PET imaging in a U-87 MG mouse xenograft model, Nucl. Med. Biol., v. 40, n. 4, p. 458-463,2013. DOI: https://doi.org/10.1016/j.nucmedbio.2013.01.004

POLLOK, K.,E. et al., In Vivo Measurements of Tumor Metabolism and Growth after Administration of Enzastaurin Using Small Animal FDG Positron Emission Tomography, J Oncol, v. 2009, Article ID 596560, 8 pages, doi:10.1155/2009/596560, 2009 DOI: https://doi.org/10.1155/2009/596560

S. Hu et al., Longitudinal PET Imaging of Doxorubicin-Induced Cell Death with 18F-Annexin V., Mol Imaging Biol, v. 14, p. 762-770, 2012 DOI: https://doi.org/10.1007/s11307-012-0551-5

DUNCAN K. et al., 18F-FDG-PET/CT imaging in an IL-6- and MYC-driven mouse model of human multiple myeloma affords objective evaluation of plasma cell tumor progression and therapeutic response to the proteasome inhibitor ixazomib, Blood Cancer J, v. 3, p. 1-12, 2013. DOI: https://doi.org/10.1038/bcj.2013.61

WANG G. J. et CAI L.., Induction of Cell-Proliferation Hormesis and Cell-Survival Adaptive Response in Mouse Hematopoietic Cells by Whole-Body Low-Dose Radiation, Toxicol. Sci., v. 53, p. 369–376, 2000. DOI: https://doi.org/10.1093/toxsci/53.2.369

YANEZAWA M, Induction of radio-resistance by low dose X-irradiation Yakugaku Zasshi, v. 126, n. 10, p. 833–840, 2006. DOI: https://doi.org/10.1248/yakushi.126.833

MENDES, B. M. et al., Development of a mouse computational model for MCNPx based on Digimouse® images and dosimetric assays, Braz. J. Pharm. Sci., 2017; v. 53, n. 1, 2017 DOI: https://doi.org/10.1590/s2175-97902017000116092

KINASE, S. et al., Computer Simulations for Internal Dosimetry Using Voxel Models, Radiat. Prot. Dosim, v. 146, n. 1-3, p. 191–194, 2011. DOI: https://doi.org/10.1093/rpd/ncr145

BISPO, A.C.A. et al., Development of a Female Mouse Computational Model Based on CT Images for Dosimetric Assays. In: http://repositorio.ipen.br/bitstream/handle/123456789/ 32876/28598.pdf?sequence=1&isAllowed=y; Accessed: 2022, July.

BISPO, A.C.A. et al., Synthesis and characterization of the radiopharmaceutical [18F]fluoroestradiol, Braz. J. Radiat. Sci., v. 09, n. 01A, p. 01-11, 2021

LOENING, A. M. and GAMBHIR, S. S. AMIDE: A Free Software Tool for Multimodality Medical Image Analysis. Mol. Imaging, v. 2, n. 3, p. 131–137, 2003 DOI: https://doi.org/10.1162/153535003322556877

BOLCH, W. E. et al., MIRD pamphlet no. 21: a generalized schema for radiopharmaceutical dosimetry-standardization of nomenclature, J Nucl MED, v. 50, p. 477-84, 2009. DOI: https://doi.org/10.2967/jnumed.108.056036

GOORLEY, J. T. et al., MCNP6 User’s Manual, Version 1.0, LA-CP-13-00634, Los Alamos National Laboratory, no. LA-CP-13-00634. p. 765, 2013.

ICRP, ICRP Publication 110: Adult Reference Computational Phantoms, Ann. ICRP, v. 39, n. 2, pp. 47–70, 2009. DOI: https://doi.org/10.1016/j.icrp.2009.07.005

ICRP, ICRP Publication 107: Nuclear decay data for dosimetric calculations, Ann. ICRP, vol. 38, no. 3, pp. 7–96, 2008. DOI: https://doi.org/10.1016/j.icrp.2008.10.005

DAHLMAN-WRIGHT, K et al., International Union of Pharmacology. LXIV. Estrogen Receptors. Pharmacol. Rev. vol.58, pp. 773–781, 2006. DOI: https://doi.org/10.1124/pr.58.4.8

NHI. National Cancer Institute. FES Documentation Page. [18F] FES Investigator's Brochure. In: https://imaging.cancer.gov/programs_resources/cancer-tracer-synthesis-resources/docs/ fes_ib_pdf.pdf. Accessed: 2022, July.