Advertisement
Original paper| Volume 110, 102585, June 2023

Download started.

Ok

Internal Bremsstrahlung, the missing process in beta decay Monte Carlo simulation: The relevance in 32P Dose-Point-Kernel estimation

  • Antonio Italiano
    Affiliations
    INFN, National Institute for Nuclear Physics, Section of Catania, Italy

    MIFT Department, University of Messina, Italy
    Search for articles by this author
  • Daniele Pistone
    Correspondence
    Corresponding author.
    Affiliations
    INFN, National Institute for Nuclear Physics, Section of Catania, Italy

    Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
    Search for articles by this author
  • Ernesto Amato
    Affiliations
    INFN, National Institute for Nuclear Physics, Section of Catania, Italy

    Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy

    Health Physics Unit, University Hospital ‘Gaetano Martino’, Messina, Italy
    Search for articles by this author
  • Sergio Baldari
    Affiliations
    Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy

    Nuclear Medicine Unit, University Hospital ‘Gaetano Martino’, Messina, Italy
    Search for articles by this author
  • Lucrezia Auditore
    Affiliations
    INFN, National Institute for Nuclear Physics, Section of Catania, Italy

    Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy
    Search for articles by this author
Published:April 27, 2023DOI:https://doi.org/10.1016/j.ejmp.2023.102585

      Highlights

      • Relevance of Internal Bremsstrahlung (IB) in 32P DPK evaluation was highlighted.
      • DPK including IB is up to 40% larger than the values available in literature.
      • IB inclusion in MC codes among processes related to beta decay is advisable.

      Abstract

      Purpose

      In nuclear medicine, Dose Point Kernels (DPKs), representing the energy deposited all around a point isotropic source, are extensively used for dosimetry and are usually obtained by Monte Carlo (MC) simulations. For beta-decaying nuclides, DPK is usually estimated neglecting Internal Bremsstrahlung (IB) emission, a process always accompanying the beta decay and consisting in the emission of photons having a continuous spectral distribution. This work aims to study the significance of IB emission for DPK estimation in the case of 32P and provide DPK values corrected for the IB photon contribution.

      Methods

      DPK, in terms of the scaled absorbed dose fraction, F ( R / X 90 ) , was first estimated by GAMOS MC simulation using the standard beta decay spectrum of 32P, F β ( R / X 90 ) . Subsequently, an additional source term accounting for IB photons and their spectral distribution was defined and used for a further MC simulation, thus evaluating the contribution of IB emission to DPK values, F β + I B ( R / X 90 ) . The relative percent difference, δ, between the DPKs obtained by the two approaches, F β + I B vs. F β , was studied as a function of the radial distance, R.

      Results

      As far as the energy deposition is mainly due to the beta particles, IB photons does not significantly contribute to DPK; conversely, for larger R, F β + I B values are higher by 30–40% than F β .

      Conclusions

      The inclusion of IB emission in the MC simulations for DPK estimations is recommended, as well as the use of the DPK values corrected for IB photons, here provided.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Physica Medica: European Journal of Medical Physics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Amato E.
        • Gnesin S.
        • Cicone F.
        • Auditore L.
        Fundamentals of internal radiation dosimetry.
        in: Signore Alberto Nuclear medicine and molecular imaging. Elsevier, 2022: 607-621https://doi.org/10.1016/B978-0-12-822960-6.00142-3
        • Amato E.
        • Cicone F.
        • Auditore L.
        • Baldari S.
        • Prior J.O.
        • Gnesin S.
        A monte carlo model for the internal dosimetry of choroid plexuses in nuclear medicine procedures.
        Phys Med. 2018; 49: 52-57https://doi.org/10.1016/j.ejmp.2018.05.005
        • Auditore L.
        • Amato E.
        • Italiano A.
        • Arce P.
        • Campennì A.
        • Baldari S.
        Internal dosimetry for TARE therapies by means of GAMOS Monte Carlo simulations.
        Phys Med. 2019; 64: 245-251https://doi.org/10.1016/j.ejmp.2019.07.024
        • Auditore L.
        • Amato E.
        • Boughdad S.
        • Meyer M.
        • Testart N.
        • Cicone F.
        • et al.
        Monte Carlo 90Y PET/CT dosimetry of unexpected focal radiation-induced lung damage after hepatic radioembolisation.
        Phys Med Biol. 2020; 65: 235014https://doi.org/10.1088/1361-6560/abbc80
        • Pistone D.
        • Italiano A.
        • Auditore L.
        • Mandaglio G.
        • Campenní A.
        • Baldari S.
        • et al.
        Relevance of artefacts in 99mTc-MAA SPECT scans on pre-therapy patient-specific 90Y TARE internal dosimetry: a GATE Monte Carlo study.
        Phys Med Biol. 2022; 67: 115002https://doi.org/10.1088/1361-6560/ac6b0f
        • Pistone D.
        • et al.
        GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times.
        AAPP Atti della Accademia Peloritana dei Pericolanti - Classe di Scienze Fisiche, Matematiche e Naturali. 2021; 99: 1-35https://doi.org/10.1478/AAPP.992A4
        • Auditore L.
        • Pistone D.
        • Amato E.
        • Italiano A.
        Monte Carlo methods in nuclear medicine.
        in: Signore Alberto Nuclear Medicine and Molecular Imaging. Elsevier, 2022: 587-606 (ISBN 9780128229804, https://doi.org/10.1016/B978-0-12-822960-6.00136-8)
        • Berger M.J.
        MIRD Pamphlet no 7 – Distribution of absorbed dose around point sources of electrons and beta particles in water and other media.
        J Nucl Med. 1971; 12: 5-23
        • Loevinger R.
        • Japha E.
        • Brownell G.
        Discrete radioisotope processes.
        in: Hine G.J. Brownell G.L. Radiation Dosimetry. Academic, New York1956
        • Seltzer S.M.
        Electron-photon Monte Carlo calculations: The ETRAN code.
        Appl Radiat Isot. 1991; 42: 917-941
        • Janicki C.
        • Seuntjens J.
        Accurate determination of dose-point-kernel functions close to the origin using Monte Carlo simulations.
        Med Phys. 2004; 31: 814-818https://doi.org/10.1118/1.1668393
        • Botta F.
        • et al.
        Calculation of electron and isotopes dose point kernels with FLUKA Monte Carlo code for dosimetry in nuclear medicine therapy.
        Med Phys. 2011; 38: 3944-3954https://doi.org/10.1118/1.3586038
        • Papadimitroulas P.
        • Loudos G.
        • Nikiforidis G.C.
        • Kagadis G.C.
        A dose point kernel database using GATE Monte Carlo simulation toolkit for nuclear medicine applications: comparison with other Monte Carlo codes.
        Med Phys. 2012; 39: 5238-5247https://doi.org/10.1118/1.4737096
        • Khazaee Moghadam M.
        • Kamali Asl A.
        • Geramifar P.
        • Zaidi H.
        Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study.
        Cancer Biother Radiopharm. 2016; 31: 367-379
        • Graves S.A.
        • Flynn R.T.
        • Hyer D.E.
        Dose point kernels for 2,174 radionuclides.
        Med Phys. 2019; 46: 5284-5293https://doi.org/10.1002/mp.13789
        • Mendes B.M.
        • Guimarães Antunes P.C.
        • Soares Lopes Branco I.
        • Nascimento E.d.
        • Seniwal B.
        • Ferreira Fonseca T.C.
        • et al.
        Calculation of dose point kernel values for monoenergetic electrons and beta emitting radionuclides: Intercomparison of Monte Carlo codes.
        Rad Phys Chem. 2021; 181: 109327
        • Italiano A.
        • Auditore L.
        • Amato E.
        Enhancement of radiation exposure risk from β-emitter radionuclides due to Internal Bremsstrahlung effect: A Monte Carlo study of 90Y case.
        Phys Med. 2020; 76: 159-165https://doi.org/10.1016/j.ejmp.2020.06.018
        • Auditore L.
        • et al.
        Experimental evidence of Internal Bremsstrahlung photons from 90Y decay.
        Phys Med. 2021; 90: 158-163https://doi.org/10.1016/j.ejmp.2021.10.006
        • Auditore L.
        • Juget F.
        • Pistone D.
        • Nedjadi Y.
        • Amato E.
        • Italiano A.
        Internal Bremsstrahlung emission during 32P decay.
        Rad Meas. 2022; 155: 106799
        • Zhang J.
        • Li Y.
        • Wen G.
        • Deng Y.
        • Yao H.
        Novel application of 32P brachytherapy: treatment of angiolymphoid hyperplasia with eosinophilia in the right auricle with 8-year follow-up.
        Cancer Biother Radiopharm. 2018; 33: 282-284https://doi.org/10.1089/cbr.2018.2468
        • Bhutani M.S.
        • Cazacu I.M.
        • Luzuriaga Chavez A.A.
        • Singh B.S.
        • Wong F.C.L.
        • Erwin W.D.
        • et al.
        Novel EUS-guided brachytherapy treatment of pancreatic cancer with phosphorus-32 microparticles: first United States experience.
        VideoGIE. 2019; 4: 223-225
        • Keyak J.H.
        • Eijansantos M.L.
        • Rosecrance K.G.
        • Wong D.
        • Feizi S.
        • Meldosian A.L.
        • et al.
        A preliminary safety assessment of vertebral augmentation with 32P brachytherapy bone cement.
        Phys Med Biol. 2022; 67: 075007
        • Mulet L.
        • Barreto I.
        • Cohen G.N.
        • Damato A.L.
        • Mauceri T.
        • Pursley J.
        • et al.
        Protocol for the measurement of the absorbed dose rate to water for a planar 32P beta emitting brachytherapy source: A multi-institutional validation.
        Brachytherapy. 2022; 21: 120-127
        • Arce P.
        • Rato P.
        • Cañadas M.
        • Lagares J.I.
        GAMOS: A GEANT4-based easy and flexible framework for nuclear medicine applications.
        in: 2008 IEEE Nucl Sci Symp Conf Rec. 2008: 3162-3168https://doi.org/10.1109/NSSMIC.2008.4775023
        • Arce P.
        • Ignacio Lagares J.
        • Harkness L.
        • Pérez-Astudillo D.
        • Cañadas M.
        • Rato P.
        • et al.
        Gamos: A framework to do Geant4 simulations in different physics fields with an user-friendly interface.
        Nucl Instrum Methods Phys Res A. 2014; 735: 304-313
        • Agostinelli S.
        • Allison J.
        • Amako K.
        • Apostolakis J.
        • Araujo H.
        • Arce P.
        • et al.
        Geant4 - A simulation toolkit.
        Nucl Instrum Methods Phys Res A. 2003; 506: 250-303
        • Allison J.
        • Amako K.
        • Apostolakis J.
        • Araujo H.
        • Arce Dubois P.
        • Asai M.
        • et al.
        Geant4 developments and applications.
        IEEE Trans Nucl Sci. 2006; 53: 270-278
        • Allison J.
        • Amako K.
        • Apostolakis J.
        • Arce P.
        • Asai M.
        • Aso T.
        • et al.
        2016 Recent Developments in Geant4.
        Nucl Instrum Methods Phys Res A. 2016; 835: 186-225
      1. NDS_IAEA 2022. IAEA Nuclear Data Service (NDS). https://www-nds.iaea.org/relnsd/vcharthtml/VChartHTML.html. Accessed October 8, 2022.

        • Hauf S.
        • Kuster M.
        • Batic M.
        • Bell Z.W.
        • Hoffmann D.H.H.
        • Lang P.M.
        • et al.
        Radioactive decays in Geant4.
        IEEE Trans Nucl Sci. 2013; 60: 2966-2983
        • Hauf S.
        • Kuster M.
        • Batic M.
        • Bell Z.W.
        • Hoffmann D.H.H.
        • Lang P.M.
        • et al.
        Validation of Geant4-based radioactive decay simulation.
        IEEE Trans Nucl Sci. 2013; 60: 2984-2997
      2. Geant4 Collaboration 2022. GEANT4 Physics Reference Manual, Version 10.3. https://GEANT4.web.cern.ch/. Accessed October 8, 2022.

        • Ouellet C.
        • Singh B.
        Nucl Data Sheets. 2011; 112: 2199-2355https://doi.org/10.1016/j.nds.2011.08.004
        • Gompertz B.
        On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies.
        Philos Trans R Soc Lond. 1825; 115: 513-585https://doi.org/10.1098/rstl.1825.0026
        • Walrand S.
        • Hesse M.
        • Jamar F.
        • Lhommel R.
        The origin and reduction of spurious extrahepatic counts observed in 90Y non-TOF PET imaging post radioembolization.
        Phys Med Biol. 2018; 63 (075016–75031)https://doi.org/10.1088/1361-6560/aab4e9
        • Levenberg K.
        A method for the solution of certain problems in least squares.
        Q Appl Math. 1944; 2: 164-168
        • Marquardt D.
        An algorithm for least-squares estimation of nonlinear parameters.
        SIAM J Appl Math. 1963; 11: 431-441
        • Chetty I.J.
        • Rosu M.
        • Kessler M.L.
        • Fraass B.A.
        • Ten Haken R.K.
        • Kong F.-M.
        • et al.
        Reporting and analyzing statistical uncertainties in Monte Carlo-based treatment planning.
        Int J Radiat Oncol Biol Phys. 2006; 65: 1249-1259
        • Berger M.J.
        Improved point kernels for electron and beta-ray dosimetry.
        in: Progress Report NBSIR. U.S. Atomic Energy Commision, Washington, D.C.1973: 73-107 (20545)
        • Bardies M.
        • Kwok C.
        • Sgouros G.
        Dose point-kernels for radionuclide dosimetry.
        in: Zaidi H. Sgouros G. Series in Medical Physics and Biomedical Engineering Therapeutic applications of Monte Carlo calculations in nuclear medicine. Institute of Physics Publishing, Bristol and Philadelphia2003: 364 .
        • Mainegra-Hing E.
        • Rogers D.W.
        • Kawrakow I.
        Calculation of photon energy deposition kernels and electron dose point kernels in water.
        Med Phys. 2005; 32: 685-699https://doi.org/10.1118/1.1861412
        • Liden K.
        • Starfelt N.
        Internal and external bremsstrahlung accompanying the beta rays of 32P.
        Phys Rev. 1955; 97: 419-427https://doi.org/10.1103/PhysRev.97.419