Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons
Introduction: The main rationale for using protons in cancer treatment is based on the highly conformal dose distribution and normal tissue spearing compared to conventional radiotherapy. The main limit of proton therapy is the particle range uncertainty due to patient setup, dose calculation and im...
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Frontiers Media S.A.
2023-02-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1071981/full |
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author | Giorgio Cartechini Giorgio Cartechini Giorgio Cartechini Elena Fogazzi Elena Fogazzi Shanyn-Dee Hart Shanyn-Dee Hart Luna Pellegri Luna Pellegri Marie Vanstalle Michela Marafini Michela Marafini Chiara La Tessa Chiara La Tessa Chiara La Tessa |
author_facet | Giorgio Cartechini Giorgio Cartechini Giorgio Cartechini Elena Fogazzi Elena Fogazzi Shanyn-Dee Hart Shanyn-Dee Hart Luna Pellegri Luna Pellegri Marie Vanstalle Michela Marafini Michela Marafini Chiara La Tessa Chiara La Tessa Chiara La Tessa |
author_sort | Giorgio Cartechini |
collection | DOAJ |
description | Introduction: The main rationale for using protons in cancer treatment is based on the highly conformal dose distribution and normal tissue spearing compared to conventional radiotherapy. The main limit of proton therapy is the particle range uncertainty due to patient setup, dose calculation and imaging. To account for this, a safety margin is added to the tumor to ensure the prescribed dose to the target. Reducing range uncertainties would result in the reduction of irradiation volume and would allow full exploitation of the proton therapy benefits. In this work, we presented a feasibility study for a strategy to achieve in vivo proton range verification based on prompt gammas (PG). This approach relies on the detection of signature prompt gammas, generated by the interaction of primary protons with a non-radioactive element, that is selectively loaded into a tumor with a drug carrier. The number of characteristic gammas is directly related to the proton range, and its measurement provides an estimate of the position at which the primary beam stops with respect to the tumor location.Method: We identified the criteria for selecting potential candidate materials and combined them with TALYS predictions to make the selection. We carried out an experimental campaign to characterize the PG spectra generated by the chosen materials when irradiated with therapeutic protons and compared them with TOPAS Monte Carlo toolkit predictions.Results: We identified 31-Phosphorous, 63-Copper and 89-Yttrium as potential candidates for this application based on TALYS calculations. The experimental data confirmed that all candidates emit signature prompt gammas different from water (here used as a proxy for normal tissue), and that the gamma yield is directly proportional to the element concentration in the solution. Four specific gamma lines were detected for both 31P (1.14, 1.26, 1.78, and 2.23 MeV) and 63Cu (0.96, 1.17, 1.24, 1.326 MeV), while only one for 89Y (1.06 MeV). The simulations indicate that the count of characteristic gammas is directly proportional to the proton range, reaching in some cases a saturation value around the tumor’s far edge. The results also indicate that to achieve a range accuracy below the current value of 2–3 mm, the uncertainty on the prompt gammas count has to be below 5% for 31-Phosphorous and 63-Copper, or 10% for 89-Yttrium.Discussion: We demonstrated that loading the tumor with a label element prior to proton treatment generates signature gammas that can be used to verify the beam range in vivo, reaching a potential range accuracy below the current limitations. This approach can be either used stand-alone or combined with other existing methodologies to further improve range resolution. |
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publishDate | 2023-02-01 |
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spelling | doaj.art-7939364aaf2f407fa27100d76d7bb3502023-02-22T13:43:10ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-02-011110.3389/fphy.2023.10719811071981Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protonsGiorgio Cartechini0Giorgio Cartechini1Giorgio Cartechini2Elena Fogazzi3Elena Fogazzi4Shanyn-Dee Hart5Shanyn-Dee Hart6Luna Pellegri7Luna Pellegri8Marie Vanstalle9Michela Marafini10Michela Marafini11Chiara La Tessa12Chiara La Tessa13Chiara La Tessa14Department of Physics, University of Trento, Trento, ItalyTrento Institute for Fundamental Physics and Applications, Istituto Nazionale di Fisica Nucleare (TIFPA-INFN), Trento, ItalyDepartment of Radiation Oncology, University of Miami, Miami, FL, United StatesDepartment of Physics, University of Trento, Trento, ItalyTrento Institute for Fundamental Physics and Applications, Istituto Nazionale di Fisica Nucleare (TIFPA-INFN), Trento, ItalySeparated Sector Cyclotron Laboratory, iThemba Laboratory for Accelerator Based Sciences, Somerset West, South AfricaSchool of Physics, University of the Witwatersrand, Johannesburg, South AfricaSeparated Sector Cyclotron Laboratory, iThemba Laboratory for Accelerator Based Sciences, Somerset West, South AfricaSchool of Physics, University of the Witwatersrand, Johannesburg, South AfricaUniversité de Strasbourg, Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg, FranceMuseo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Rome, ItalyIstituto Nazionale di Fisica Nucleare (INFN), Section of Roma 1, Rome, ItalyDepartment of Physics, University of Trento, Trento, ItalyTrento Institute for Fundamental Physics and Applications, Istituto Nazionale di Fisica Nucleare (TIFPA-INFN), Trento, ItalyDepartment of Radiation Oncology, University of Miami, Miami, FL, United StatesIntroduction: The main rationale for using protons in cancer treatment is based on the highly conformal dose distribution and normal tissue spearing compared to conventional radiotherapy. The main limit of proton therapy is the particle range uncertainty due to patient setup, dose calculation and imaging. To account for this, a safety margin is added to the tumor to ensure the prescribed dose to the target. Reducing range uncertainties would result in the reduction of irradiation volume and would allow full exploitation of the proton therapy benefits. In this work, we presented a feasibility study for a strategy to achieve in vivo proton range verification based on prompt gammas (PG). This approach relies on the detection of signature prompt gammas, generated by the interaction of primary protons with a non-radioactive element, that is selectively loaded into a tumor with a drug carrier. The number of characteristic gammas is directly related to the proton range, and its measurement provides an estimate of the position at which the primary beam stops with respect to the tumor location.Method: We identified the criteria for selecting potential candidate materials and combined them with TALYS predictions to make the selection. We carried out an experimental campaign to characterize the PG spectra generated by the chosen materials when irradiated with therapeutic protons and compared them with TOPAS Monte Carlo toolkit predictions.Results: We identified 31-Phosphorous, 63-Copper and 89-Yttrium as potential candidates for this application based on TALYS calculations. The experimental data confirmed that all candidates emit signature prompt gammas different from water (here used as a proxy for normal tissue), and that the gamma yield is directly proportional to the element concentration in the solution. Four specific gamma lines were detected for both 31P (1.14, 1.26, 1.78, and 2.23 MeV) and 63Cu (0.96, 1.17, 1.24, 1.326 MeV), while only one for 89Y (1.06 MeV). The simulations indicate that the count of characteristic gammas is directly proportional to the proton range, reaching in some cases a saturation value around the tumor’s far edge. The results also indicate that to achieve a range accuracy below the current value of 2–3 mm, the uncertainty on the prompt gammas count has to be below 5% for 31-Phosphorous and 63-Copper, or 10% for 89-Yttrium.Discussion: We demonstrated that loading the tumor with a label element prior to proton treatment generates signature gammas that can be used to verify the beam range in vivo, reaching a potential range accuracy below the current limitations. This approach can be either used stand-alone or combined with other existing methodologies to further improve range resolution.https://www.frontiersin.org/articles/10.3389/fphy.2023.1071981/fullproton therapyproton range verificationprompt gammaTOPAS Monte Carlo31-Phosporous63-Copper |
spellingShingle | Giorgio Cartechini Giorgio Cartechini Giorgio Cartechini Elena Fogazzi Elena Fogazzi Shanyn-Dee Hart Shanyn-Dee Hart Luna Pellegri Luna Pellegri Marie Vanstalle Michela Marafini Michela Marafini Chiara La Tessa Chiara La Tessa Chiara La Tessa Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons Frontiers in Physics proton therapy proton range verification prompt gamma TOPAS Monte Carlo 31-Phosporous 63-Copper |
title | Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons |
title_full | Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons |
title_fullStr | Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons |
title_full_unstemmed | Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons |
title_short | Loading the tumor with 31P, 63Cu and 89Y provides an in vivo prompt gamma-based range verification for therapeutic protons |
title_sort | loading the tumor with 31p 63cu and 89y provides an in vivo prompt gamma based range verification for therapeutic protons |
topic | proton therapy proton range verification prompt gamma TOPAS Monte Carlo 31-Phosporous 63-Copper |
url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1071981/full |
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