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AWT IMAGE

AWT IMAGE
:: Volume 21, Issue 3 (6-2023) ::
Int J Radiat Res 2023, 21(3): 353-360 Back to browse issues page
Monte Carlo calculations of critical organ doses in radioembolization therapy of primary liver tumors via 90Y microspheres
O.M. Yildirim , A. Bingolbali , A. Bozkurt , C. Cafaro , M.O. Demirkol
Department of Bioengineering, Yildiz Technical University, 34220 Istanbul, Turkey , ab1353@gmail.com
Abstract:   (1843 Views)
Background: Dosimetry calculations in radioembolization therapy are known to include some uncertainties due to working assumptions. First, the microspheres used in the procedure are homogeneously distributed within the tumor volume. Second, Medical Internal Radiation Dosimetry (MIRD) method of dose calculation involves a mono-compartmental model only. To minimize the impact of these uncertainties, this study proposes Monte Carlo (MC) simulations as an alternative to MIRD method to verify the absorbed doses in the volumes of interest (tumor and its surroundings).  Material and Methods: Lung, liver, and tumor volumes of 30 radioembolization patients were defined in a mathematical whole-body phantom and MC simulations were performed using Monte Carlo N-Particle code. Absorbed doses were calculated for these tissues both in addition to stomach wall, pancreas, spleen, and kidneys which are close to the tumor volume being treated with microspheres of radioembolization therapy containing the beta-emitting 90Y radioisotope. Results: The doses absorbed by tumor, lung, and liver volumes of each patient were calculated by both MIRD methodology and MC simulations. The differences between the two methods were evaluated for normal lung tissue and tumor tissues in the liver where maximum differences were observed for tumor tissues (16.18%) and lungs (11.69%). Furthermore, it was observed through MC simulations; the organs that are close to the liver being treated were also exposed to the radiation for which absorbed doses could not be calculated by MIRD method. Conclusion: MC simulations may offer significant advantages for dose verification in radioembolization therapy.
Keywords: Radioembolization, 90-Y, critical organ doses, MIRD, Monte Carlo simulations.
Full-Text [PDF 727 kb]   (938 Downloads)    
Type of Study: Original Research | Subject: Radiation Biology
References
1. 1. Kim SP, Cohalan C, Kopek N, Enger SA (2019) A guide to 90Y radioembolization and its dosimetry. Phys Medica, 68: 132-145. [DOI:10.1016/j.ejmp.2019.09.236] [PMID]
2. Braat AJAT, Smits MLJ, Braat MNGJA, Manon NGJA, et al. (2015) 90Y Hepatic radioembolization: an update on current practice and recent developments. J Nucl Med, 56(7): 1079-87. [DOI:10.2967/jnumed.115.157446] [PMID]
3. Dezarn WA, Cessna JT, Dewerd LA, Feng W, et al. (2011) Recommendations of the American Association of Physicists in Medicine on dosimetry, imaging, and quality assurance procedures for 90Y microsphere brachytherapy in the treatment of hepatic malignancies. AAPM, 38(8): 4824-45. [DOI:10.1118/1.3608909] [PMID]
4. Cross WG, Böhm J, Charles M, Piesch E, Seltzer SM (2016) Report 56: Dosimetry of external beta rays for radiation protection. J ICRU, 29(1): 1473-6691. [DOI:10.1093/jicru/os29.1.Report56]
5. Salem R and Thurston KG (2006) Radioembolization with 90Yttrium microspheres: a state-of-the-art brachytherapy treatment for primary and secondary liver malignancies. Part 1: Technical and methodologic considerations. J Vasc Interv Radiol, 17(8): 1251-78. https://doi.org/10.1097/01.RVI.0000233785.75257.9A [DOI:10.1097/01.RVI.0000235779.88652.53] [PMID]
6. Mitchell GS, Lloyd PNT, Cherry SR (2020) Cerenkov luminescence and PET imaging of (90)Y: capabilities and limitations in small animal applications. Phys Med Biol, 65(6): 65006-065006. [DOI:10.1088/1361-6560/ab7502] [PMID] []
7. Jackson JD. Classical electrodynamics. American Association of Physics Teachers; 1999.
8. Krane KS. Introductory nuclear physics. John Wiley & Sons; 1991.
9. Danieli R, Milano A, Gallo S, Veronese I, Lascialfari A, et al. (2022) Personalized dosimetry in targeted radiation therapy: A look to methods, tools and critical aspects. J Pers Med, 12(2): 205. [DOI:10.3390/jpm12020205] [PMID] []
10. Auditore L, Amato E, Italiano A, Arce P, et al. (2019) Internal dosimetry for TARE therapies by means of GAMOS Monte Carlo simulations. Phys Med Biol, 64: 245-251. [DOI:10.1016/j.ejmp.2019.07.024] [PMID]
11. Villalobos A, Soliman MM, Majdalany BS, Schuster DM, et al. (2020) Yttrium-90 radioembolization dosimetry: what trainees need to know. Semin Interv Radiol, 37(5): 543-554. https://doi.org/10.1055/s-0041-1722877 [DOI:10.1055/s-0040-1720954] [PMID] []
12. Graves SA and Hobbs RF (2021) Dosimetry for optimized, personalized radiopharmaceutical therapy. Semin Radiat Oncol, 31: 37-44. [DOI:10.1016/j.semradonc.2020.07.008] [PMID]
13. Cremonesi M, Chiesa C, Strigari L, Ferrari M, et al. (2014) Radioembolization of hepatic lesions from a radiobiology and dosimetric perspective. Front Oncol, 4: 210. [DOI:10.3389/fonc.2014.00210] [PMID] []
14. Giammarile F, Bodei L, Chiesa C, Flux G, et al. (2011) EANM procedure guideline for the treatment of liver cancer and liver metastases with intra-arterial radioactive compounds. EANMI, 38(7): 1393-406. [DOI:10.1007/s00259-011-1812-2] [PMID]
15. Goorley T, James M, Booth T, Brown F, et al. (2012) Initial MCNP6 Release Overview. Nucl Technol, 180(3): 298-315. [DOI:10.13182/NT11-135]
16. Reed AL (2007) Medical physics calculations with MCNP: a primer. ANS Meeting, 836.
17. Jodal L (2009) Beta emitters and radiation protection. Acta Oncol, 48(2): 308-13 [DOI:10.1080/02841860802245163] [PMID]
18. Zankl M, Becker J, Schlattl H, Henss N, et al. (2007) Computational Phantoms of the ICRP Reference Male and Reference Female. Radiat Prot Dosim, 127(1-4): 174-86. [DOI:10.1093/rpd/ncm269] [PMID]
19. Synder WS, Cook MJ, Nasset ES, Karhausen LR, et al. (1974) Report on the task group on Reference Man; Pergamon Press, Oxford.
20. Abdalla EK, Denys A, Chevalier P, Nemr RA, Vauthey JN (2004) Total and segmental liver volume variations: implications for liver surgery. Surgery,135(4): 404-10. [DOI:10.1016/j.surg.2003.08.024] [PMID]
21. Wolf DC (1990) Evaluation of the size, shape, and consistency of the liver. Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd ed. Boston: Butterworths; 1990.
22. IBM SPSS Statistics for Windows V. IBM Corp. Released Armonk, NY: IBM Corp; 2019.
23. Petitguillaume A, Bernardini M, Hadid L (2014) Three-dimensional personalized Monte Carlo dosimetry in Y-90 resin microspheres therapy of hepatic metasases: nontumoral liver and lungs radiation protection considerations and treatment planning optimization. J Nucl Med, 55 :405-413. [DOI:10.2967/jnumed.113.120444] [PMID]
24. Hashikin NAA, Yeong CH, Guatelli S, Abdullah BJJ, et al. (2017) Systematic investigation on the validity of partition model dosimetry for (90)Y radioembolization using Monte Carlo simulation. Phys Med Biol, 62(18): 7342-7356. [DOI:10.1088/1361-6560/aa7e5b] [PMID]
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Yildirim O, Bingolbali A, Bozkurt A, Cafaro C, Demirkol M. Monte Carlo calculations of critical organ doses in radioembolization therapy of primary liver tumors via 90Y microspheres. Int J Radiat Res 2023; 21 (3) :353-360
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Volume 21, Issue 3 (6-2023) Back to browse issues page
International Journal of Radiation Research
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