Monte Carlo investigation of S-values for 111In radionuclide therapy
DOI:
https://doi.org/10.15392/2319-0612.2023.2348Keywords:
111In, Geant4, cellular S-values, MIRDAbstract
Novel therapeutic strategy in radionuclide therapy use cell-penetrating monoclonal antibodies to carry Auger-emitting radionuclides into the cells. Estimation of dose in normal and tumor cells are important to investigate the efficacy and toxicity of treatment. Monte Carlo simulation is the most suitable method for estimation of absorbed dose at microscopic level. It is therefore useful to carry out Monte Carlo simulation of Auger emitting radionuclides in order to assess the sensitivity of the results with respect to transport approximations generally used in Monte Carlo codes. There are several Auger emitting radionuclides with potential clinical applications, however, based on their half-life 111In is the most suitable for Auger therapeutic purposes and was considered in the present investigation. Geant4 Monte Carlo simulation was performed and specific absorbed dose fraction (or S-values) for 111In were calculated by using different physics model (Standard, Livermore, Penelope and Geant4-DNA) and compared with Medical Internal Radiation Dosimetry (MIRD) S-values. Source was distributed in the cytoplasm (Cy), surface (Cs) and nucleus (N). Average of relative differences (RD) (%) were calculated for self and cross absorbed dose. RD(%) for self-absorption (NßN) were 4.4, 2.36, 6.21 and 1.1 for Standard, Penelope, Livermore and Geant4-DNA respectively. For cross-absorption these values were higher (e.g. for NßCy 15.4, 18.36, 19.21 and 24.8 for Standard, Penelope, Livermore and Geant4-DNA respectively). Cutoff energy considered for electrons and gamma photons affect the results in dose estimation for Auger electrons in Monte Carlo simulation.
- Views: 102
- PDF Downloads: 88
- XML Downloads: 3
Downloads
References
Müller V, Stahmann N, Riethdorf S, Rau T, Zabel T, Goetz A, Jänicke F, Pantel K. Circulating tumor cells in breast cancer: correlation to bone marrow micrometastases, heterogeneous response to systemic therapy and low proliferative activity. Clinical Cancer Research. 2005 May 15;11(10):3678-85.
Goldenberg DM. Targeted therapy of cancer with radiolabeled antibodies. Journal of Nuclear Medicine. 2002 May 1;43(5):693-713.
Jain M, Venkatraman G, Batra SK. Optimization of radioimmunotherapy of solid tumors: bio-logical impediments and their modulation. Clinical cancer research. 2007 Mar 1;13(5):1374-82.
Koren E, Torchilin VP. Cell-penetrating peptides: breaking through to the other side. Trends in molecular medicine. 2012 Jul 1;18(7):385-93.
Thomas S, Hoxha K, Alexander W, Gilligan J, Dilbarova R, Whittaker K, Kossenkov A, Prendergast GC, Mullin JM. Intestinal barrier tightening by a cell‐penetrating antibody to Bin1, a candidate target for immunotherapy of ulcerative colitis. Journal of Cellular Biochemistry. 2019 Mar;120(3):4225-37.
Aghevlian S, Boyle AJ, Reilly RM. Radioimmunotherapy of cancer with high linear energy transfer (LET) radiation delivered by radionuclides emitting α-particles or Auger electrons. Advanced drug delivery reviews. 2017 Jan 15;109:102-18.
Bolch WE, Eckerman KF, Sgouros G, Thomas SR. MIRD pamphlet no. 21: a generalized schema for radiopharmaceutical dosimetry—standardization of nomenclature. Journal of Nuclear Medicine. 2009 Mar 1;50(3):477-84.
Makrigiorgos GM, Adelstein SJ, Kassis AI. Limitations of conventional internal dosimetry at the cellular level. Journal of nuclear medicine. 1989 Nov 1;30(11):1856-64.
Bousis C, Emfietzoglou D, Hadjidoukas P, Nikjoo H. Monte Carlo single-cell dosimetry of Auger-electron emitting radionuclides. Physics in Medicine & Biology. 2010 Apr 14;55(9):2555.
Bousis C, Emfietzoglou D, Nikjoo H. Monte Carlo single-cell dosimetry of I-131, I-125 and I-123 for targeted radioimmunotherapy of B-cell lymphoma. International journal of radiation biology. 2012 Dec 1;88(12):908-15.
Cai Z, Pignol JP, Chan C, Reilly RM. Cellular dosimetry of 111In using Monte Carlo N-particle computer code: comparison with analytic methods and correlation with in vitro cytotoxicity. Journal of Nuclear Medicine. 2010 Mar 1;51(3):462-70.
Agostinelli S, Allison J, Amako KA, Apostolakis J, Araujo H, Arce P, Asai M, Axen D, Banerjee S, Barrand GJ, Behner F. GEANT4—a simulation toolkit. Nuclear instruments and methods in physics research section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2003 Jul 1;506(3):250-303.
Eckerman KF, Endo A. MIRD: radionuclide data and decay schemes. Snmmi; 2007.
Bousis C, Emfietzoglou D, Hadjidoukas P, Nikjoo H. Monte Carlo single-cell dosimetry of Auger-electron emitting radionuclides. Physics in Medicine & Biology. 2010 Apr 14;55(9):2555.
Incerti S, Ivanchenko A, Karamitros M, Mantero A, Moretto P, Tran HN, Mascialino B, Champion C, Ivanchenko VN, Bernal MA, Francis Z. Comparison of GEANT4 very low energy cross section models with experimental data in water. Medical physics. 2010 Sep;37(9):4692-708.
Dash A, F Russ Knapp F, Ra Pillai M. Targeted radionuclide therapy-an overview. Current radiopharmaceuticals. 2013 Sep 1;6(3):152-80.
Bodei L, Kassis AI, Adelstein SJ, Mariani G. Radionuclide therapy with iodine-125 and other auger–electron-emitting radionuclides: Experimental models and clinical applications. Cancer Biotherapy and Radiopharmaceuticals. 2003 Dec 1;18(6):861-77.
Behr TM, Béhé M, Löhr M, Sgouros G, Angerstein C, Wehrmann E, et al. Therapeutic ad-vantages of Auger electron-over beta-emitting radiometals or radioiodine when conjugated to in-ternalizing antibodies. Eur J Nucl Med. 2000;27:753–65.
Tamborino G, Saint-Hubert D, Struelens L, Seoane DC, Ruigrok EA, Aerts A, van Cappellen WA, de Jong M, Konijnenberg MW, Nonnekens J. Cellular dosimetry of [177Lu] Lu-DOTA-[Tyr3] octreotate radionuclide therapy: the impact of modeling assumptions on the correlation with in vitro cytotoxicity. EJNMMI physics. 2020 Dec;7(1):1-9.
Cai Z, Kwon YL, Reilly RM. Monte Carlo N-particle (MCNP) modeling of the cellular dosimetry of 64Cu: comparison with MIRDcell S values and implications for studies of its cytotoxic effects. Journal of Nuclear Medicine. 2017 Feb 1;58(2):339-45.
Salim R, Taherparvar P. Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values. Radiation and Environmental Biophysics. 2019 Aug;58(3):353-71.
Syme AM, Kirkby C, Riauka TA, Fallone BG, McQuarrie SA. Monte Carlo investigation of single cell beta dosimetry for intraperitoneal radionuclide therapy. Physics in Medicine & Biology. 2004 May 4;49(10):1959.
Uusijärvi H, Chouin N, Bernhardt P, Ferrer L, Bardies M, Forssell-Aronsson E. Comparison of electron dose-point kernels in water generated by the Monte Carlo codes, PENELOPE, GEANT4, MCNPX, and ETRAN. Cancer biotherapy and radiopharmaceuticals. 2009 Aug 1;24(4):461-7.
André T, Morini F, Karamitros M, Delorme R, Le Loirec C, Campos L, Champion C, Groetz JE, Fromm M, Bordage MC, Perrot Y. Comparison of Geant4-DNA simulation of S-values with other Monte Carlo codes. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 2014 Jan 15;319:87-94.
Thisgaard H, Olsen BB, Dam JH, Bollen P, Mollenhauer J, Høilund-Carlsen PF. Evaluation of Cobalt-Labeled Octreotide Analogs for Molecular Imaging and Auger Electron–Based Radionuclide Therapy. Journal of Nuclear Medicine. 2014 Aug 1;55(8):1311-6.
Bastami H, Chiniforoush TA, Heidari S, Sadeghi M. Dose evaluation of auger electrons emitted from the 119Sb in cancer treatment. Applied Radiation and Isotopes. 2022 Jul 1;185:110250.
Salim R, Taherparvar P. Dosimetry assessment of theranostic Auger-emitting radionuclides in a micron-sized multicellular cluster model: A Monte Carlo study using Geant4-DNA simulations. Applied Radiation and Isotopes. 2022 Oct 1;188:110380.
Villagrasa C, Rabus H, Baiocco G, Perrot Y, Parisi A, Struelens L, Qiu R, Beuve M, Poignant F, Pietrzak M, Nettelbeck H. Intercomparison of micro-and nanodosimetry Monte Carlo simulations: An approach to assess the influence of different cross-sections for low-energy electrons on the dispersion of results. Radiation Measurements. 2022 Jan 1;150:106675.
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Brazilian Journal of Radiation Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licensing: The BJRS articles are licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
