Andrew Vincent Zwaniga, Raffi Karshafian, Humza Nusrat, Eric Da Silva, James L Gräfe
{"title":"用级联和平均俄歇电子能谱计算119sb微尺度吸收剂量。","authors":"Andrew Vincent Zwaniga, Raffi Karshafian, Humza Nusrat, Eric Da Silva, James L Gräfe","doi":"10.1088/1361-6560/add851","DOIUrl":null,"url":null,"abstract":"<p><p>Radionuclides decaying by electron capture or internal transition produce a large number of Auger electrons in a cascade that follows their radioactive decay. A shortlist of the most potent Auger electron-emitters has appeared in the literature including<sup>103m</sup>Rh,<sup>103</sup>Pd,<sup>111</sup>In,<sup>119</sup>Sb,<sup>123</sup>I,<sup>125</sup>I,<sup>165</sup>Er, and<sup>197</sup>Hg. Among them,<sup>119</sup>Sb has been identified as the most potent for targeting micrometastases, yielding several tens of Auger electrons per decay with energies from a few eV up to 30 keV. In this paper, we recalculate Auger, Coster-Kronig, and super Coster-Kronig yields and transition probabilities as subshell-normalized relative transition probabilities and develop a new method to create radionuclide sources in TOPAS Monte Carlo, the code for which has been made publicly available. We then apply our method to encode the Auger electron spectra of<sup>119</sup>Sb from MIRD RADTABS and EADL into TOPAS and calculate the absorbed dose to water volumes of radius 10 nm up to 10 μm, finding that the averaged MIRD Auger electron spectrum underestimates the absorbed dose by a factor of 20 to 50 on this scale. We show that this result is not isolated to<sup>119</sup>Sb and conclude that either the cascaded MIRD or EADL spectrum should be used for accurate microscale dosimetry. We compare with results obtained using the built-in Geant4 Atomic Relaxation for<sup>119</sup>Sb in TOPAS and find an unexpected continuum of low-energy electrons but no excess absorbed dose relative to either MIRD or EADL. We show that<sup>119</sup>Sb does not produce more absorbed dose in microscale volumes than<sup>103m</sup>Rh,<sup>103</sup>Pd,<sup>111</sup>In,<sup>123</sup>I,<sup>125</sup>I,<sup>165</sup>Er, or<sup>197</sup>Hg, warranting future microdosimetry calculations of RBE and DNA damage to understand whether<sup>119</sup>Sb is the most potent Auger electron-emitter, as claimed in the literature.</p>","PeriodicalId":20185,"journal":{"name":"Physics in medicine and biology","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monte Carlo calculation of<sup>119</sup>Sb microscale absorbed dose using cascaded and averaged Auger electron spectra.\",\"authors\":\"Andrew Vincent Zwaniga, Raffi Karshafian, Humza Nusrat, Eric Da Silva, James L Gräfe\",\"doi\":\"10.1088/1361-6560/add851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Radionuclides decaying by electron capture or internal transition produce a large number of Auger electrons in a cascade that follows their radioactive decay. A shortlist of the most potent Auger electron-emitters has appeared in the literature including<sup>103m</sup>Rh,<sup>103</sup>Pd,<sup>111</sup>In,<sup>119</sup>Sb,<sup>123</sup>I,<sup>125</sup>I,<sup>165</sup>Er, and<sup>197</sup>Hg. Among them,<sup>119</sup>Sb has been identified as the most potent for targeting micrometastases, yielding several tens of Auger electrons per decay with energies from a few eV up to 30 keV. In this paper, we recalculate Auger, Coster-Kronig, and super Coster-Kronig yields and transition probabilities as subshell-normalized relative transition probabilities and develop a new method to create radionuclide sources in TOPAS Monte Carlo, the code for which has been made publicly available. We then apply our method to encode the Auger electron spectra of<sup>119</sup>Sb from MIRD RADTABS and EADL into TOPAS and calculate the absorbed dose to water volumes of radius 10 nm up to 10 μm, finding that the averaged MIRD Auger electron spectrum underestimates the absorbed dose by a factor of 20 to 50 on this scale. We show that this result is not isolated to<sup>119</sup>Sb and conclude that either the cascaded MIRD or EADL spectrum should be used for accurate microscale dosimetry. We compare with results obtained using the built-in Geant4 Atomic Relaxation for<sup>119</sup>Sb in TOPAS and find an unexpected continuum of low-energy electrons but no excess absorbed dose relative to either MIRD or EADL. We show that<sup>119</sup>Sb does not produce more absorbed dose in microscale volumes than<sup>103m</sup>Rh,<sup>103</sup>Pd,<sup>111</sup>In,<sup>123</sup>I,<sup>125</sup>I,<sup>165</sup>Er, or<sup>197</sup>Hg, warranting future microdosimetry calculations of RBE and DNA damage to understand whether<sup>119</sup>Sb is the most potent Auger electron-emitter, as claimed in the literature.</p>\",\"PeriodicalId\":20185,\"journal\":{\"name\":\"Physics in medicine and biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics in medicine and biology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6560/add851\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics in medicine and biology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6560/add851","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Monte Carlo calculation of119Sb microscale absorbed dose using cascaded and averaged Auger electron spectra.
Radionuclides decaying by electron capture or internal transition produce a large number of Auger electrons in a cascade that follows their radioactive decay. A shortlist of the most potent Auger electron-emitters has appeared in the literature including103mRh,103Pd,111In,119Sb,123I,125I,165Er, and197Hg. Among them,119Sb has been identified as the most potent for targeting micrometastases, yielding several tens of Auger electrons per decay with energies from a few eV up to 30 keV. In this paper, we recalculate Auger, Coster-Kronig, and super Coster-Kronig yields and transition probabilities as subshell-normalized relative transition probabilities and develop a new method to create radionuclide sources in TOPAS Monte Carlo, the code for which has been made publicly available. We then apply our method to encode the Auger electron spectra of119Sb from MIRD RADTABS and EADL into TOPAS and calculate the absorbed dose to water volumes of radius 10 nm up to 10 μm, finding that the averaged MIRD Auger electron spectrum underestimates the absorbed dose by a factor of 20 to 50 on this scale. We show that this result is not isolated to119Sb and conclude that either the cascaded MIRD or EADL spectrum should be used for accurate microscale dosimetry. We compare with results obtained using the built-in Geant4 Atomic Relaxation for119Sb in TOPAS and find an unexpected continuum of low-energy electrons but no excess absorbed dose relative to either MIRD or EADL. We show that119Sb does not produce more absorbed dose in microscale volumes than103mRh,103Pd,111In,123I,125I,165Er, or197Hg, warranting future microdosimetry calculations of RBE and DNA damage to understand whether119Sb is the most potent Auger electron-emitter, as claimed in the literature.
期刊介绍:
The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry