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Ballisat L, De Sio C, Beck L, Guatelli S, Sakata D, Shi Y, Duan J, Velthuis J, Rosenfeld A. Dose and DNA damage modelling of diffusing alpha-emitters radiation therapy using Geant4. Phys Med 2024; 121:103367. [PMID: 38701625 DOI: 10.1016/j.ejmp.2024.103367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 04/02/2024] [Accepted: 04/19/2024] [Indexed: 05/05/2024] Open
Abstract
PURPOSE Diffusing alpha-emitters radiation therapy (DaRT) is a brachytherapy technique using α-particles to treat solid tumours. The high linear energy transfer (LET) and short range of α-particles make them good candidates for the targeted treatment of cancer. Treatment planning of DaRT requires a good understanding of the dose from α-particles and the other particles released in the 224Ra decay chain. METHODS The Geant4 Monte Carlo toolkit has been used to simulate a DaRT seed to better understand the dose contribution from all particles and simulate the DNA damage due to this treatment. RESULTS Close to the seed α-particles deliver the majority of dose, however at radial distances greater than 4 mm, the contribution of β-particles is greater. The RBE has been estimated as a function of number of double strand breaks (DSBs) and complex DSBs. A maximum seed spacing of 5.5 mm and 6.5 mm was found to deliver at least 20 Gy RBE weighted dose between the seeds for RBEDSB and RBEcDSB respectively. CONCLUSIONS The DNA damage changes with radial distance from the seed and has been found to become less complex with distance, which is potentially easier for the cell to repair. Close to the seed α-particles contribute the majority of dose, however the contribution from other particles cannot be neglected and may influence the choice of seed spacing.
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Affiliation(s)
| | - Chiara De Sio
- School of Physics, University of Bristol, Bristol, UK
| | - Lana Beck
- School of Physics, University of Bristol, Bristol, UK
| | - Susanna Guatelli
- Centre for Medical Radiation Physics (CMRP), University of Wollongong, NSW, Australia
| | - Dousatsu Sakata
- Division of Health Sciences, Osaka University, Osaka 565-0871, Japan
| | - Yuyao Shi
- School of Physics, University of Bristol, Bristol, UK
| | - Jinyan Duan
- School of Physics, University of Bristol, Bristol, UK
| | - Jaap Velthuis
- School of Physics, University of Bristol, Bristol, UK
| | - Anatoly Rosenfeld
- Centre for Medical Radiation Physics (CMRP), University of Wollongong, NSW, Australia
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Liu Y, Zhu K, Peng X, Luo S, Zhu J, Xiao W, He L, Wang X. Proton relative biological effectiveness for the induction of DNA double strand breaks based on Geant4. Biomed Phys Eng Express 2024; 10:035018. [PMID: 38181453 DOI: 10.1088/2057-1976/ad1bb9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/05/2024] [Indexed: 01/07/2024]
Abstract
Uncertainties in the relative biological effectiveness (RBE) of proton remains a major barrier to the biological optimization of proton therapy. A large amount of experimental data suggest that proton RBE is variable. As an evolving Monte Carlo code toolkit, Geant4-DNA is able to simulate the initial DNA damage caused by particle beams through physical and chemical interactions at the nanometer scale over a short period of time. This contributes to evaluating the radiobiological effects induced by ionizing radiation. Based on the Geant4-DNA toolkit, this study constructed a DNA geometric model containing 6.32Gbp, simulated the relationship between radiochemical yields (G-values) and their corresponding chemical constructors, and calculated a detailed calculation of the sources of damage and the complexity of damage in DNA strand breaks. The damage model constructed in this study can simulate the relative biological effectiveness (RBE) in the proton Bragg peak region. The results indicate that: (1) When the electron energy is below 400 keV, the yield of OH·account for 18.1% to 25.3% of the total water radiolysis yields. (2) Under the influence of histone clearance function, the yield of indirect damage account for over 72.93% of the yield of DNA strand breaks (SBs). When linear energy transfer (LET) increased from 29.79 (keV/μm) to 64.29 (keV/μm), the yield of double strand breaks (DSB) increased from 17.27% to 32.65%. (3) By investigating the effect of proton Bragg peak depth on the yield of direct DSB (DSBdirect) and total DSB (DSBtotal), theRBEDSBtotandRBEDSBdirlevels of cells show that the RBE value of protons reaches 2.2 in the Bragg peak region.
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Affiliation(s)
- Yuchen Liu
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Kun Zhu
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou 215123, People's Republic of China
| | - Xiaoyu Peng
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Siyuan Luo
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Jin Zhu
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Wancheng Xiao
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Lie He
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
| | - Xiaodong Wang
- School of Nuclear Science and Technology, University of South China, Hengyang 421001, People's Republic of China
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Selva A, Bianchi A, Cirrone GAP, Petringa G, Romano F, Schettino G, Conte V. Sensitivity of a mini-TEPC to radiation quality variations in clinical proton beams. Phys Med 2024; 118:103201. [PMID: 38199179 DOI: 10.1016/j.ejmp.2023.103201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 10/30/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
PURPOSE This work aims at studying the sensitivity of a miniaturized Tissue-Equivalent Proportional Counter to variations of beam quality in clinical radiation fields, to further investigate its performances as radiation quality monitor. METHODS Measurements were taken at the CATANA facility (INFN-LNS, Catania, Italy), in a monoenergetic and an energy-modulated proton beam with the same initial energy of 62 MeV. PMMA layers were placed in front of the detector to measure at different depths along the depth-dose profile. The frequency- and dose-mean lineal energy were compared to the track- and dose-averaged LET calculated by Monte Carlo simulations. A microdosimetric evaluation of the Relative Biological Effectiveness (RBE) was performed and compared with cell survival experiments. RESULTS Microdosimetric distributions measured at identical depths in the two beams show spectral differences reflecting their different radiation quality. Discrepancies are most evident at depths corresponding to the Spread-Out Bragg Peak, while spectra at the entrance and in the dose fall-off regions are similar. This can be explained by the different energy components that compose the pristine and spread-out peaks at each depth. The trend of microdosimetric mean values matches that of calculated LET averages along the entire penetration depth, and the microdosimetric estimation of RBE is consistent with radiobiological data not only at 2 Gy but also at lower dose levels, such as those absorbed by healthy tissues. CONCLUSIONS The mini-TEPC is sensitive to differences in radiation quality resulting from different modulations of the proton beam, confirming its potential for beam quality monitoring in proton therapy.
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Affiliation(s)
- A Selva
- INFN Laboratori Nazionali di Legnaro, Legnaro, Italy.
| | - A Bianchi
- INFN Laboratori Nazionali di Legnaro, Legnaro, Italy
| | | | - G Petringa
- INFN Laboratori Nazionali del Sud, Catania, Italy
| | - F Romano
- INFN Sezione di Catania, Catania, Italy
| | - G Schettino
- National Physical Laboratory, Medical Radiation Science, Teddington, UK
| | - V Conte
- INFN Laboratori Nazionali di Legnaro, Legnaro, Italy
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Afshari N, Koturbash I, Boerma M, Newhauser W, Kratz M, Willey J, Williams J, Chancellor J. A Review of Numerical Models of Radiation Injury and Repair Considering Subcellular Targets and the Extracellular Microenvironment. Int J Mol Sci 2024; 25:1015. [PMID: 38256089 PMCID: PMC10816679 DOI: 10.3390/ijms25021015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
Astronauts in space are subject to continuous exposure to ionizing radiation. There is concern about the acute and late-occurring adverse health effects that astronauts could incur following a protracted exposure to the space radiation environment. Therefore, it is vital to consider the current tools and models used to describe and study the organic consequences of ionizing radiation exposure. It is equally important to see where these models could be improved. Historically, radiobiological models focused on how radiation damages nuclear deoxyribonucleic acid (DNA) and the role DNA repair mechanisms play in resulting biological effects, building on the hypotheses of Crowther and Lea from the 1940s and 1960s, and they neglected other subcellular targets outside of nuclear DNA. The development of these models and the current state of knowledge about radiation effects impacting astronauts in orbit, as well as how the radiation environment and cellular microenvironment are incorporated into these radiobiological models, aid our understanding of the influence space travel may have on astronaut health. It is vital to consider the current tools and models used to describe the organic consequences of ionizing radiation exposure and identify where they can be further improved.
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Affiliation(s)
- Nousha Afshari
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA 70803, USA; (N.A.); (W.N.)
| | - Igor Koturbash
- Department of Environmental Health Sciences, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Marjan Boerma
- Division of Radiation Health, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| | - Wayne Newhauser
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA 70803, USA; (N.A.); (W.N.)
| | - Maria Kratz
- Department of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA 70803, USA;
| | - Jeffrey Willey
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA;
| | - Jacqueline Williams
- School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY 14642, USA;
| | - Jeffery Chancellor
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA 70803, USA; (N.A.); (W.N.)
- Department of Preventive Medicine and Population Health, University of Texas Medical Branch, Galveston, TX 77555, USA
- Outer Space Institute, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
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Overgaard CB, Reaz F, Sitarz M, Poulsen P, Overgaard J, Bassler N, Grau C, Sørensen BS. An experimental setup for proton irradiation of a murine leg model for radiobiological studies. Acta Oncol 2023; 62:1566-1573. [PMID: 37603112 DOI: 10.1080/0284186x.2023.2246641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/03/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND The purpose of this study was to introduce an experimental radiobiological setup used for in vivo irradiation of a mouse leg target in multiple positions along a proton beam path to investigate normal tissue- and tumor models with varying linear energy transfer (LET). We describe the dosimetric characterizations and an acute- and late-effect assay for normal tissue damage. METHODS The experimental setup consists of a water phantom that allows the right hind leg of three to five mice to be irradiated at the same time. Absolute dosimetry using a thimble (Semiflex) and a plane parallel (Advanced Markus) ionization chamber and Monte Carlo simulations using Geant4 and SHIELD-HIT12A were applied for dosimetric validation of positioning along the spread-out Bragg peak (SOBP) and at the distal edge and dose fall-off. The mice were irradiated in the center of the SOBP delivered by a pencil beam scanning system. The SOBP was 2.8 cm wide, centered at 6.9 cm depth, with planned physical single doses from 22 to 46 Gy. The biological endpoint was acute skin damage and radiation-induced late damage (RILD) assessed in the mouse leg. RESULTS The dose-response curves illustrate the percentage of mice exhibiting acute skin damage, and at a later point, RILD as a function of physical doses (Gy). Each dose-response curve represents a specific severity score of each assay, demonstrating a higher ED50 (50% responders) as the score increases. Moreover, the results reveal the reversible nature of acute skin damage as a function of time and the irreversible nature of RILD as time progresses. CONCLUSIONS We want to encourage researchers to report all experimental details of their radiobiological setups, including experimental protocols and model descriptions, to facilitate transparency and reproducibility. Based on this study, more experiments are being performed to explore all possibilities this radiobiological experimental setup permits.
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Affiliation(s)
- Cathrine Bang Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Fardous Reaz
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
| | - Mateusz Sitarz
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
| | - Per Poulsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Niels Bassler
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
| | - Cai Grau
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
| | - Brita Singers Sørensen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark
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Liang Y, Wu J, Ding Z, Liu C, Fu Q. Evaluation of the Yield of DNA Double-Strand Breaks for Carbon Ions Using Monte Carlo Simulation and DNA Fragment Distribution. Int J Radiat Oncol Biol Phys 2023; 117:252-261. [PMID: 36966847 DOI: 10.1016/j.ijrobp.2023.03.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/07/2023] [Accepted: 03/15/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE The aim of this work was to provide a method to evaluate the yield of DNA double-strand breaks (DSBs) for carbon ions, overcoming the bias in existing methods due to the nonrandom distribution of DSBs. METHODS AND MATERIALS A previously established biophysical program based on the radiation track structure and a multilevel chromosome model was used to simulate DNA damage induced by x-rays and carbon ions. The fraction of activity retained (FAR) as a function of absorbed dose or particle fluence was obtained by counting the fraction of DNA fragments larger than 6 Mbp. Simulated FAR curves for the 250 kV x-rays and carbon ions at various energies were compared with measurements using constant-field gel electrophoresis. The doses or fluences at the FAR of 0.7 based on linear interpolation were used to estimate the simulation error for the production of DSBs. RESULTS The relative difference of doses at the FAR of 0.7 between simulation and experiment was -8.5% for the 250 kV x-rays. The relative differences of fluences at the FAR of 0.7 between simulations and experiments were -17.5%, -42.2%, -18.2%, -3.1%, 10.8%, and -14.5% for the 34, 65, 130, 217, 2232, and 3132 MeV carbon ions, respectively. In comparison, the measurement uncertainty was about 20%. Carbon ions produced remarkably more DSBs and DSB clusters per unit dose than x-rays. The yield of DSBs for carbon ions, ranging from 10 to 16 Gbp-1Gy-1, increased with linear energy transfer (LET) but plateaued in the high-LET end. The yield of DSB clusters first increased and then decreased with LET. This pattern was similar to the relative biological effectiveness for cell survival for heavy ions. CONCLUSIONS The estimated yields of DSBs for carbon ions increased from 10 Gbp-1Gy-1 in the low-LET end to 16 Gbp-1Gy-1 in the high-LET end with 20% uncertainty.
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Affiliation(s)
- Ying Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
| | - Jianan Wu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Zhen Ding
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Chenbin Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Qibin Fu
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-sen University, Zhuhai, China
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McIntyre M, Wilson P, Gorayski P, Bezak E. A Systematic Review of LET-Guided Treatment Plan Optimisation in Proton Therapy: Identifying the Current State and Future Needs. Cancers (Basel) 2023; 15:4268. [PMID: 37686544 PMCID: PMC10486456 DOI: 10.3390/cancers15174268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023] Open
Abstract
The well-known clinical benefits of proton therapy are achieved through higher target-conformality and normal tissue sparing than conventional radiotherapy. However, there is an increased sensitivity to uncertainties in patient motion/setup, proton range and radiobiological effect. Although recent efforts have mitigated some uncertainties, radiobiological effect remains unresolved due to a lack of clinical data for relevant endpoints. Therefore, RBE optimisations may be currently unsuitable for clinical treatment planning. LET optimisation is a novel method that substitutes RBE with LET, shifting LET hotspots outside critical structures. This review outlines the current status of LET optimisation in proton therapy, highlighting knowledge gaps and possible future research. Following the PRISMA 2020 guidelines, a search of the MEDLINE® and Scopus databases was performed in July 2023, identifying 70 relevant articles. Generally, LET optimisation methods achieved their treatment objectives; however, clinical benefit is patient-dependent. Inconsistencies in the reported data suggest further testing is required to identify therapeutically favourable methods. We discuss the methods which are suitable for near-future clinical deployment, with fast computation times and compatibility with existing treatment protocols. Although there is some clinical evidence of a correlation between high LET and adverse effects, further developments are needed to inform future patient selection protocols for widespread application of LET optimisation in proton therapy.
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Affiliation(s)
- Melissa McIntyre
- Allied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA 5000, Australia
| | - Puthenparampil Wilson
- Department of Radiation Oncology, Royal Adelaide Hospital, Adelaide, SA 5000, Australia
- UniSA STEM, University of South Australia, Adelaide, SA 5000, Australia
| | - Peter Gorayski
- Allied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA 5000, Australia
- Department of Radiation Oncology, Royal Adelaide Hospital, Adelaide, SA 5000, Australia
- Australian Bragg Centre for Proton Therapy and Research, Adelaide, SA 5000, Australia
| | - Eva Bezak
- Allied Health & Human Performance Academic Unit, University of South Australia, Adelaide, SA 5000, Australia
- Department of Physics, University of Adelaide, Adelaide, SA 5005, Australia
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Guerra Liberal FDC, Thompson SJ, Prise KM, McMahon SJ. High-LET radiation induces large amounts of rapidly-repaired sublethal damage. Sci Rep 2023; 13:11198. [PMID: 37433844 PMCID: PMC10336062 DOI: 10.1038/s41598-023-38295-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 07/06/2023] [Indexed: 07/13/2023] Open
Abstract
There is agreement that high-LET radiation has a high Relative Biological Effectiveness (RBE) when delivered as a single treatment, but how it interacts with radiations of different qualities, such as X-rays, is less clear. We sought to clarify these effects by quantifying and modelling responses to X-ray and alpha particle combinations. Cells were exposed to X-rays, alpha particles, or combinations, with different doses and temporal separations. DNA damage was assessed by 53BP1 immunofluorescence, and radiosensitivity assessed using the clonogenic assay. Mechanistic models were then applied to understand trends in repair and survival. 53BP1 foci yields were significantly reduced in alpha particle exposures compared to X-rays, but these foci were slow to repair. Although alpha particles alone showed no inter-track interactions, substantial interactions were seen between X-rays and alpha particles. Mechanistic modelling suggested that sublethal damage (SLD) repair was independent of radiation quality, but that alpha particles generated substantially more sublethal damage than a similar dose of X-rays, [Formula: see text]. This high RBE may lead to unexpected synergies for combinations of different radiation qualities which must be taken into account in treatment design, and the rapid repair of this damage may impact on mechanistic modelling of radiation responses to high LETs.
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Affiliation(s)
- Francisco D C Guerra Liberal
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7AE, UK
| | - Shannon J Thompson
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7AE, UK
| | - Kevin M Prise
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7AE, UK
| | - Stephen J McMahon
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7AE, UK.
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Magrin G, Palmans H, Stock M, Georg D. State-of-the-art and potential of experimental microdosimetry in ion-beam therapy. Radiother Oncol 2023; 182:109586. [PMID: 36842667 DOI: 10.1016/j.radonc.2023.109586] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/28/2023]
Abstract
In radiotherapy, radiation-quality should be an expression of the biological and physical characteristics of ionizing radiation such as spatial distribution of ionization or energy deposition. Linear energy transfer (LET) and lineal energy (y) are two descriptors used to quantify the radiation quality. These two quantities are connected and exhibit similar features. In ion-beam therapy (IBT), lineal energy can be measured with microdosimeters, which are specifically designed to cope with the high fluence of particles in clinical beams, while the quantification of LET is generally based on calculations. In pre-clinical studies, microdosimetric spectra are used for the indirect determination of relative biological effectiveness (RBE), e.g., using the microdosimetric kinetic model (MKM) or biophysical response functions. In this context it is important to consider saturation effects, which occur when the highest values of y become less biologically relevant compared to the relative contribution they make to the physical dose. Recent clinical data suggests that local tumor control and normal tissue effects can be linked to macroscopic and microscopic dosimetry parameters. In particular, positive clinical outcomes have been correlated to the highest LET values in the density distribution, and there is no evident link to the saturation discussed above. A systematic collection of microdosimetric information in combination with clinical data in retrospective studies may clarify the role of radiation quality at the highest LET. In the clinical setting, microdosimetry is not widely used yet, despite its potential to be linked with LET by experimentally-determined y values. Through this connection, both play an important role in complex therapy techniques such as intensity modulated particle therapy (IMPT), LET-painting and multi-ion optimization. This review summarizes the current state of microdosimetry for IBT and its potential, as well as research and development needed to make experimental microdosimetry a mature procedure in a clinical context.
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Affiliation(s)
- Giulio Magrin
- MedAustron Ion Therapy Center, Wiener Neustadt, Austria
| | - Hugo Palmans
- MedAustron Ion Therapy Center, Wiener Neustadt, Austria; National Physical Laboratory, Teddington, UK
| | - Markus Stock
- MedAustron Ion Therapy Center, Wiener Neustadt, Austria; Karl Landsteiner Universität, Krems, Austria
| | - Dietmar Georg
- MedAustron Ion Therapy Center, Wiener Neustadt, Austria; Medical University of Vienna, Austria.
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Modelling tissue specific RBE for different radiation qualities based on a multiscale characterization of energy deposition. Radiother Oncol 2023; 182:109539. [PMID: 36806602 DOI: 10.1016/j.radonc.2023.109539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 02/03/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023]
Abstract
PURPOSE We present the nanoCluE model, which uses nano- and microdosimetric quantities to model RBE for protons and carbon ions. Under the hypothesis that nano- and microdosimetric quantities correlates with the generation of complex DNA double strand breakes, we wish to investigate whether an improved accuracy in predicting LQ parameters may be achieved, compared to some of the published RBE models. METHODS The model is based on experimental LQ data for protons and carbon ions. We generated a database of track structure data for a number of proton and carbon ion kinetic energies with the Geant4-DNA Monte Carlo code. These data were used to obtain both a nanodosimetric quantity and a set of microdosimetric quantities. The latter were tested with different parameterizations versus experimental LQ-data to select the variable and parametrization that yielded the best fit. RESULTS For protons, the nanoCluE model yielded, for the ratio of the linear LQ term versus the test data, a root mean square error (RMSE) of 1.57 compared to 1.31 and 1.30 for two earlier other published proton models. For carbon ions the RMSE was 2.26 compared to 3.24 and 5.24 for earlier published carbon ion models. CONCLUSION These results demonstrate the feasibility of the nanoCluE RBE model for carbon ions and protons. The increased accuracy for carbon ions as compared to two other considered models warrants further investigation.
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Sakata D, Hirayama R, Shin WG, Belli M, Tabocchini MA, Stewart RD, Belov O, Bernal MA, Bordage MC, Brown JMC, Dordevic M, Emfietzoglou D, Francis Z, Guatelli S, Inaniwa T, Ivanchenko V, Karamitros M, Kyriakou I, Lampe N, Li Z, Meylan S, Michelet C, Nieminen P, Perrot Y, Petrovic I, Ramos-Mendez J, Ristic-Fira A, Santin G, Schuemann J, Tran HN, Villagrasa C, Incerti S. Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA. Phys Med 2023; 105:102508. [PMID: 36549067 DOI: 10.1016/j.ejmp.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
PURPOSE Track structure Monte Carlo (MC) codes have achieved successful outcomes in the quantitative investigation of radiation-induced initial DNA damage. The aim of the present study is to extend a Geant4-DNA radiobiological application by incorporating a feature allowing for the prediction of DNA rejoining kinetics and corresponding cell surviving fraction along time after irradiation, for a Chinese hamster V79 cell line, which is one of the most popular and widely investigated cell lines in radiobiology. METHODS We implemented the Two-Lesion Kinetics (TLK) model, originally proposed by Stewart, which allows for simulations to calculate residual DNA damage and surviving fraction along time via the number of initial DNA damage and its complexity as inputs. RESULTS By optimizing the model parameters of the TLK model in accordance to the experimental data on V79, we were able to predict both DNA rejoining kinetics at low linear energy transfers (LET) and cell surviving fraction. CONCLUSION This is the first study to demonstrate the implementation of both the cell surviving fraction and the DNA rejoining kinetics with the estimated initial DNA damage, in a realistic cell geometrical model simulated by full track structure MC simulations at DNA level and for various LET. These simulation and model make the link between mechanistic physical/chemical damage processes and these two specific biological endpoints.
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Affiliation(s)
- Dousatsu Sakata
- Department of Accelerator and Medical Physics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST), Chiba 263-8555, Japan; Division of Health Sciences, Osaka University, Osaka 565-0871, Japan.
| | - Ryoichi Hirayama
- Department of Charged Particle Therapy Research, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST), Chiba 263-8555, Japan
| | - Wook-Geun Shin
- Department of Radiation Oncology, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | | | | | - Robert D Stewart
- Department of Radiation Oncology, University of Washington, WA 98195-6043, USA
| | - Oleg Belov
- Veksler and Baldin Laboratory of High Energy Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia; Institute of System Analysis and Management, Dubna State University, 141980 Dubna, Russia
| | - Mario A Bernal
- Instituto de Fisica Gleb Wataghin, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Marie-Claude Bordage
- INSERM, Université Paul Sabatier, UMR 1037, CRCT, Toulouse, France; Université Toulouse III-Paul Sabatier, UMR 1037, CRCT, Toulouse, France
| | - Jeremy M C Brown
- Department of Physics and Astronomy, Swinburne University of Technology, Hawthorn, Australia; Centre For Medical Radiation Physics, University of Wollongong, Wollongong, Australia; Department of Radiation Science and Technology, Delft University of Technology, The Netherlands
| | - Milos Dordevic
- Vinca Institute of Nuclear Sciences - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Dimitris Emfietzoglou
- Medical Physics Laboratory, Department of Medicine, University of Ioannina, GR 45110, Ioannina, Greece
| | - Ziad Francis
- Saint Joseph University of Beirut, UR Mathématiques et Modélisation, Beirut, Lebanon
| | - Susanna Guatelli
- Centre For Medical Radiation Physics, University of Wollongong, Wollongong, Australia
| | - Taku Inaniwa
- Department of Accelerator and Medical Physics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST), Chiba 263-8555, Japan
| | - Vladimir Ivanchenko
- Geant4 Associates International Ltd, Hebden Bridge, UK; Tomsk State University, Tomsk, Russia
| | | | - Ioanna Kyriakou
- Medical Physics Laboratory, Department of Medicine, University of Ioannina, GR 45110, Ioannina, Greece
| | | | - Zhuxin Li
- Univ. Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France
| | | | - Claire Michelet
- Univ. Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France
| | | | - Yann Perrot
- IRSN, Institut de Radioprotection et de Surete Nucleaire, 92262 Fontenay-aux-Roses, France
| | - Ivan Petrovic
- Vinca Institute of Nuclear Sciences - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Jose Ramos-Mendez
- Department of Radiation Oncology, University of California San Francisco, San Francisco 94143, CA, USA
| | - Aleksandra Ristic-Fira
- Vinca Institute of Nuclear Sciences - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | | | - Jan Schuemann
- Physics Division, Department of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA, USA
| | - Hoang N Tran
- Univ. Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France
| | - Carmen Villagrasa
- IRSN, Institut de Radioprotection et de Surete Nucleaire, 92262 Fontenay-aux-Roses, France
| | - Sebastien Incerti
- Univ. Bordeaux, CNRS, LP2I Bordeaux, UMR 5797, F-33170 Gradignan, France
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12
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Cui Y, Pan Y, Li Z, Wu Q, Zou J, Han D, Yin Y, Ma C. Dosimetric analysis and biological evaluation between proton radiotherapy and photon radiotherapy for the long target of total esophageal squamous cell carcinoma. Front Oncol 2022; 12:954187. [PMID: 36263217 PMCID: PMC9574336 DOI: 10.3389/fonc.2022.954187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The purpose of this study is to compare the dosimetric and biological evaluation differences between photon and proton radiation therapy. Methods Thirty esophageal squamous cell carcinoma (ESCC) patients were generated for volumetric modulated arc therapy (VMAT) planning and intensity-modulated proton therapy (IMPT) planning to compare with intensity-modulated radiation therapy (IMRT) planning. According to dose–volume histogram (DVH), dose–volume parameters of the plan target volume (PTV) and homogeneity index (HI), conformity index (CI), and gradient index (GI) were used to analyze the differences between the various plans. For the organs at risk (OARS), dosimetric parameters were compared. Tumor control probability (TCP) and normal tissue complication probability (NTCP) was also used to evaluate the biological effectiveness of different plannings. Results CI, HI, and GI of IMPT planning were significantly superior in the three types of planning (p < 0.001, p < 0.001, and p < 0.001, respectively). Compared to IMRT and VMAT planning, IMPT planning improved the TCP (p<0.001, p<0.001, respectively). As for OARs, IMPT reduced the bilateral lung and heart accepted irradiation dose and volume. The dosimetric parameters, such as mean lung dose (MLD), mean heart dose (MHD), V5, V10, and V20, were significantly lower than IMRT or VMAT. IMPT afforded a lower maximum dose (Dmax) of the spinal cord than the other two-photon plans. What’s more, the radiation pneumonia of the left lung, which was caused by IMPT, was lower than IMRT and VMAT. IMPT achieved the pericarditis probability of heart is only 1.73% ± 0.24%. For spinal cord myelitis necrosis, there was no significant difference between the three different technologies. Conclusion Proton radiotherapy is an effective technology to relieve esophageal cancer, which could improve the TCP and spare the heart, lungs, and spinal cord. Our study provides a prediction of radiotherapy outcomes and further guides the individual treatment.
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Affiliation(s)
- Yongbin Cui
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yuteng Pan
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhenjiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Qiang Wu
- Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - Jingmin Zou
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Dali Han
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yong Yin
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Yong Yin, ; Changsheng Ma,
| | - Changsheng Ma
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Yong Yin, ; Changsheng Ma,
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13
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Meouchi C, Barna S, Puchalska M, Tran LT, Rosenfeld A, Verona C, Verona‐Rinati G, Palmans H, Magrin G. On the measurement uncertainty of microdosimetric quantities using diamond and silicon microdosimeters in carbon-ion beams. Med Phys 2022; 49:6699-6715. [PMID: 36039392 PMCID: PMC9826416 DOI: 10.1002/mp.15929] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/13/2022] [Accepted: 08/03/2022] [Indexed: 01/11/2023] Open
Abstract
PURPOSE The purpose of this paper is to compare the response of two different types of solid-state microdosimeters, that is, silicon and diamond, and their uncertainties. A study of the conversion of silicon microdosimetric spectra to the diamond equivalent for microdosimeters with different geometry of the sensitive volumes is performed, including the use of different stopping power databases. METHOD Diamond and silicon microdosimeters were irradiated under the same conditions, aligned at the same depth in a carbon-ion beam at the MedAustron ion therapy center. In order to estimate the microdosimetric quantities, the readout electronic linearity was investigated with three different methods, that is, the first being a single linear regression, the second consisting of a double linear regression with a channel transition and last a multiple linear regression by splitting the data into odd and even groups. The uncertainty related to each of these methods was estimated as well. The edge calibration was performed using the intercept with the horizontal axis of the tangent through the inflection point of the Fermi function approximation multi-channel analyzer spectrum. It was assumed that this point corresponds to the maximum energy difference of particle traversing the sensitive volume (SV) for which the residual range difference in the continuous slowing down approximation is equal to the thickness of the SV of the microdosimeter. Four material conversion methods were explored, the edge method, the density method, the maximum-deposition energy method and the bin-by-bin transformation method. The uncertainties of the microdosimetric quantities resulting from the linearization, the edge calibration and the detectors thickness were also estimated. RESULTS It was found that the double linear regression had the lowest uncertainty for both microdosimeters. The propagated standard (k = 1) uncertainties on the frequency-mean lineal energy y ¯ F ${\bar{y}}_{\rm{F}}$ and the dose-mean lineal energy y ¯ D ${\bar{y}}_{\rm{D}}$ values from the marker point, in the spectra, in the plateau were 0.1% and 0.2%, respectively, for the diamond microdosimeter, whilst for the silicon microdosimeter data converted to diamond, the uncertainty was estimated to be 0.1%. In the range corresponding to the 90% of the amplitude of the Bragg Peak at the distal part of the Bragg curve (R90 ) the uncertainty was found to be 0.1%. The uncertainty propagation from the stopping power tables was estimated to be between 5% and 7% depending on the method. The uncertainty on the y ¯ F ${\bar{y}}_{\rm{F}}$ and y ¯ D ${\bar{y}}_{\rm{D}}$ coming from the thickness of the detectors varied between 0.3% and 0.5%. CONCLUSION This article demonstrate that the linearity of the readout electronics affects the microdosimetric spectra with a difference in y ¯ F ${\bar{y}}_{\rm{F}}$ values between the different linearization methods of up to 17.5%. The combined uncertainty was dominated by the uncertainty of stopping power on the edge.
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Affiliation(s)
| | - Sandra Barna
- Department of Radiation OncologyMedical University of ViennaViennaAustria
| | | | - Linh T. Tran
- Centre for Medical Radiation PhysicsUniversity of WollongongWollongongNew South WalesAustralia
| | - Anatoly Rosenfeld
- Centre for Medical Radiation PhysicsUniversity of WollongongWollongongNew South WalesAustralia
| | - Claudio Verona
- Dipartimento di Ingegneria IndustrialeUniversità di Roma Tor VergataRomaItaly
| | | | - Hugo Palmans
- MedAustron Ion Therapy CenterWiener NeustadtAustria,National Physical LaboratoryTeddingtonTwickenhamUK
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14
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Fattori S, Petringa G, Agosteo S, Bortot D, Conte V, Cuttone G, Di Fini A, Farokhi F, Mazzucconi D, Pandola L, Petrović I, Ristić-Fira A, Rosenfeld A, Weber U, Cirrone GAP. 4He dose- and track-averaged linear energy transfer: Monte Carlo algorithms and experimental verification. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac776f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 06/09/2022] [Indexed: 11/12/2022]
Abstract
Abstract
Objective. In the present hadrontherapy scenario, there is a growing interest in exploring the capabilities of different ion species other than protons and carbons. The possibility of using different ions paves the way for new radiotherapy approaches, such as the multi-ions treatment, where radiation could vary according to target volume, shape, depth and histologic characteristics of the tumor. For these reasons, in this paper, the study and understanding of biological-relevant quantities was extended for the case of 4He ion. Approach. Geant4 Monte Carlo based algorithms for dose- and track-averaged LET (Linear Energy Transfer) calculations, were validated for 4He ions and for the case of a mixed field characterised by the presence of secondary ions from both target and projectile fragmentation. The simulated dose and track averaged LETs were compared with the corresponding dose and frequency mean values of the lineal energy,
y
D
¯
and
y
¯
F
, derived from experimental microdosimetric spectra. Two microdosimetric experimental campaigns were carried out at the Italian eye proton therapy facility of the Laboratori Nazionali del Sud of Istituto Nazionale di Fisica Nucleare (INFN-LNS, Catania, I) using two different microdosimeters: the MicroPlus probe and the nano-TEPC (Tissue Equivalent Proportional Counter). Main results. A good agreement of
L
¯
d
Total
and
L
¯
t
Total
with
y
¯
D
and
y
¯
T
experimentally measured with both microdosimetric detectors MicroPlus and nano-TEPC in two configurations: full energy and modulated 4He ion beam, was found. Significance. The results of this study certify the use of a very effective tool for the precise calculation of LET, given by a Monte Carlo approach which has the advantage of allowing detailed simulation and tracking of nuclear interactions, even in complex clinical scenarios.
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15
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A case-control study of linear energy transfer and relative biological effectiveness related to symptomatic brainstem toxicity following pediatric proton therapy. Radiother Oncol 2022; 175:47-55. [PMID: 35917900 DOI: 10.1016/j.radonc.2022.07.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/28/2022] [Accepted: 07/25/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND PURPOSE A fixed relative biological effectiveness (RBE) of 1.1 (RBE1.1) is used clinically in proton therapy even though the RBE varies with properties such as dose level and linear energy transfer (LET). We therefore investigated if symptomatic brainstem toxicity in pediatric brain tumor patients treated with proton therapy could be associated with a variable LET and RBE. MATERIALS AND METHODS 36 patients treated with passive scattering proton therapy were selected for a case-control study from a cohort of 954 pediatric brain tumor patients. Nine children with symptomatic brainstem toxicity were each matched to three controls based on age, diagnosis, adjuvant therapy, and brainstem RBE1.1 dose characteristics. Differences across cases and controls related to the dose-averaged LET (LETd) and variable RBE-weighted dose from two RBE models were analyzed in the high-dose region. RESULTS LETd metrics were marginally higher for cases vs. controls for the majority of dose levels and brainstem substructures. Considering areas with doses above 54 Gy(RBE1.1), we found a moderate trend of 13% higher median LETd in the brainstem for cases compared to controls (P = .08), while the difference in the median variable RBE-weighted dose for the same structure was only 2% (P = .6). CONCLUSION Trends towards higher LETd for cases compared to controls were noticeable across structures and LETd metrics for this patient cohort. While case-control differences were minor, an association with the observed symptomatic brainstem toxicity cannot be ruled out.
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16
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Pompos A, Foote RL, Koong AC, Le QT, Mohan R, Paganetti H, Choy H. National Effort to Re-Establish Heavy Ion Cancer Therapy in the United States. Front Oncol 2022; 12:880712. [PMID: 35774126 PMCID: PMC9238353 DOI: 10.3389/fonc.2022.880712] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
In this review, we attempt to make a case for the establishment of a limited number of heavy ion cancer research and treatment facilities in the United States. Based on the basic physics and biology research, conducted largely in Japan and Germany, and early phase clinical trials involving a relatively small number of patients, we believe that heavy ions have a considerably greater potential to enhance the therapeutic ratio for many cancer types compared to conventional X-ray and proton radiotherapy. Moreover, with ongoing technological developments and with research in physical, biological, immunological, and clinical aspects, it is quite plausible that cost effectiveness of radiotherapy with heavier ions can be substantially improved.
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Affiliation(s)
- Arnold Pompos
- Department of Radiation Oncology, University of Texas (UT) Southwestern Medical Center, Dallas, TX, United States
| | - Robert L. Foote
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Robert L. Foote,
| | - Albert C. Koong
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Quynh Thu Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, United States
| | - Radhe Mohan
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Harald Paganetti
- Department of Radiation Oncology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, United States
| | - Hak Choy
- Department of Radiation Oncology, University of Texas (UT) Southwestern Medical Center, Dallas, TX, United States
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17
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Zhang H, Zhou W. Low-energy X-ray irradiation: A novel non-thermal microbial inactivation technology. ADVANCES IN FOOD AND NUTRITION RESEARCH 2022; 100:287-328. [PMID: 35659355 DOI: 10.1016/bs.afnr.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Over the last several decades, food irradiation technology has been proven neither to reduce the nutritional value of foods more than other preservation technologies, nor to make foods radioactive or dangerous to eat. Furthermore, food irradiation is a non-thermal food processing technology that helps preserve more heat sensitive nutrients than those found in thermally processed foods. Conventional food irradiation technologies, including γ-ray, electron beam and high energy X-ray, have certain limitations and drawbacks, such as involving radioactive isotopes, low penetration ability, and economical unfeasibility, respectively. Owing to the recent developments in instrumentation technology, more compact and cheaper tabletop low-energy X-ray sources have become available. The generation of low-energy X-ray, unlike γ-ray, does not involve radioactive isotopes and the cost is lower than high energy X-ray. Furthermore, low-energy X-ray possesses unique advantages, i.e., high linear energy transfer (LET) value and high relative biological effect (RBE) value. The advantages allow low-energy X-ray irradiation to provide a higher microbial inactivation efficacy than γ-ray and high energy X-ray irradiation. In the last few years, various applications reported in the literature indicate that low-energy X-ray irradiation has a great potential to become an alternative food preservation technique. This chapter discusses the technical advances of low-energy X-ray irradiation, microbial inactivation mechanism, factors influencing its efficiency, current applications, consumer acceptance, and limitations.
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Affiliation(s)
- Hongfei Zhang
- Department of Food Science and Technology, National University of Singapore, Singapore, Singapore
| | - Weibiao Zhou
- Department of Food Science and Technology, National University of Singapore, Singapore, Singapore.
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18
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Li H. Biological effectiveness and relative biological effectiveness of ion beams for in-vitro cell irradiation. Cancer Sci 2022; 113:2807-2813. [PMID: 35642350 PMCID: PMC9357665 DOI: 10.1111/cas.15446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/17/2022] [Accepted: 05/24/2022] [Indexed: 11/26/2022] Open
Abstract
Biological effectiveness and relative biological effectiveness are critical for proton and ion beam radiotherapy. However, the relationship between the two quantities and physical character of ion beams is not well established. By analyzing 1188 sets of in‐vitro cell irradiation experiments using ion beams ranging from protons to 238U, compiled by the Particle Irradiation Data Ensemble (PIDE) project, the biological effectiveness of the ion beams, with cell survival fractionation (SF) as the endpoint, was found to be dependent on the fluence and linear energy transfer (LET) of the ion beam. Consequently, the relative biological effectiveness of the ion beam to photon beam was also established as a function of LET. A common form of relationship among SF, fluence, and LET was found to be valid for all ion beam experiments. The close form relationship could be used for proton and ion beam radiotherapy applications.
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Affiliation(s)
- Heng Li
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA
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19
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Hyer DE, Ding X, Rong Y. Proton therapy needs further technological development to fulfill the promise of becoming a superior treatment modality (compared to photon therapy). J Appl Clin Med Phys 2021; 22:4-11. [PMID: 34730268 PMCID: PMC8598137 DOI: 10.1002/acm2.13450] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 01/10/2021] [Indexed: 12/25/2022] Open
Affiliation(s)
- Daniel E. Hyer
- Department of Radiation OncologyUniversity of IowaIowa CityIowaUSA
| | - Xuanfeng Ding
- Department of Radiation OncologyWilliam Beaumont HospitalRoyal ParkMichiganUSA
| | - Yi Rong
- Department of Radiation OncologyMayo Clinic ArizonaPhoenixArizonaUSA
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20
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Fukuda H. Boron Neutron Capture Therapy (BNCT) for Cutaneous Malignant Melanoma Using 10B-p-Boronophenylalanine (BPA) with Special Reference to the Radiobiological Basis and Clinical Results. Cells 2021; 10:2881. [PMID: 34831103 PMCID: PMC8616259 DOI: 10.3390/cells10112881] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/22/2021] [Accepted: 10/22/2021] [Indexed: 01/22/2023] Open
Abstract
BNCT is a radiotherapeutic method for cancer treatment that uses tumor-targeting 10B-compounds. BNCT for cutaneous melanoma using BPA, a phenylalanine derivative, was first initiated by Mishima et al. in 1987. This article reviews the radiobiological basis of melanoma control and damage to normal tissues as well as the results of clinical studies. Experimental studies showed that the compound biological effectiveness (CBE) values of the 10B (n, α)7Li reaction for melanoma control ranged from 2.5 to 3.3. The CBE values of the 10B (n, α)7Li reaction for skin damage ranged from 2.4 to 3.7 with moist desquamation as the endpoint. The required single radiation dose for controlling human melanoma was estimated to be 25 Gy-Eq or more by analyzing the 50% tumor control dose data of conventional fractionated radiotherapy. From the literature, the maximum permissible dose to human skin by single irradiation was estimated to be 18 Gy-Eq. With respect to the pharmacokinetics of BPA in patients with melanoma treated with 85-350 mg/kg BPA, the melanoma-to-blood ratio ranged from 2.1-3.8 and the skin-to-blood ratio was 1.31 ± 0.22. Good local tumor control and long-term survival of the patients were achieved in two clinical trials of BNCT conducted in Japan.
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Affiliation(s)
- Hiroshi Fukuda
- Department of Radiology, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
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21
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Almhagen E, Traneus E, Ahnesjö A. Handling of beam spectra in training and application of proton RBE models. Phys Med Biol 2021; 66. [PMID: 34464939 DOI: 10.1088/1361-6560/ac226a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/31/2021] [Indexed: 11/11/2022]
Abstract
Published data from cell survival experiments are frequently used as training data for models of proton relative biological effectiveness (RBE). The publications rarely provide full information about the primary particle spectrum of the used beam, or its content of heavy secondary particles. The purpose of this paper is to assess to what extent heavy secondary particles may have been present in published cell survival experiments, and to investigate the impact of non-primary protons for RBE calculations in treatment planning. We used the Monte Carlo code Geant4 to calculate the occurrence of non-primary protons and heavier secondary particles for clinical protons beams in water for four incident energies in the [100, 250] MeV interval. We used the resulting spectra together with a conservative RBE parameterization and an RBE model to map both the rise of RBE at the beam entry surface due to heavy secondary particle buildup, and the difference in estimated RBE if non-primary protons are included or not in the beam quality metric. If included, non-primary protons cause a difference of 2% of the RBE in the plateau region of an spread out Bragg peak and 1% in the Bragg peak. Including non-primary protons specifically for RBE calculations will consequently have a negligible impact and can be ignored. A buildup distance in water of one millimeter was sufficient to reach an equilibrium state of RBE for the four incident energies selected. For the investigated experimental data, 83 out of the 86 data points were found to have been determined with at least that amount of buildup material. Hence, RBE model training data should be interpreted to include the contribution of heavy secondaries.
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Affiliation(s)
- Erik Almhagen
- Medical Radiation Sciences, Department of Immunology, Genetics and Pathology, Uppsala University, Akademiska Sjukhuset, Uppsala, Sweden.,The Skandion Clinic, Uppsala, Sweden
| | | | - Anders Ahnesjö
- Medical Radiation Sciences, Department of Immunology, Genetics and Pathology, Uppsala University, Akademiska Sjukhuset, Uppsala, Sweden
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22
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Sørensen BS, Pawelke J, Bauer J, Burnet NG, Dasu A, Høyer M, Karger CP, Krause M, Schwarz M, Underwood TSA, Wagenaar D, Whitfield GA, Lühr A. Does the uncertainty in relative biological effectiveness affect patient treatment in proton therapy? Radiother Oncol 2021; 163:177-184. [PMID: 34480959 DOI: 10.1016/j.radonc.2021.08.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/09/2021] [Accepted: 08/22/2021] [Indexed: 10/20/2022]
Abstract
Clinical treatment with protons uses the concept of relative biological effectiveness (RBE) to convert the absorbed dose into an RBE-weighted dose that equals the dose for radiotherapy with photons causing the same biological effect. Currently, in proton therapy a constant RBE of 1.1 is generically used. However, empirical data indicate that the RBE is not constant, but increases at the distal edge of the proton beam. This increase in RBE is of concern, as the clinical impact is still unresolved, and clinical studies demonstrating a clinical effect of an increased RBE are emerging. Within the European Particle Therapy Network (EPTN) work package 6 on radiobiology and RBE, a workshop was held in February 2020 in Manchester with one day of discussion dedicated to the impact of proton RBE in a clinical context. Current data on RBE effects, patient outcome and modelling from experimental as well as clinical studies were presented and discussed. Furthermore, representatives from European clinical proton therapy centres, who were involved in patient treatment, laid out their current clinical practice on how to consider the risk of a variable RBE in their centres. In line with the workshop, this work considers the actual impact of RBE issues on patient care in proton therapy by reviewing preclinical data on the relation between linear energy transfer (LET) and RBE, current clinical data sets on RBE effects in patients, and applied clinical strategies to manage RBE uncertainties. A better understanding of the variability in RBE would allow development of proton treatments which are safer and more effective.
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Affiliation(s)
- Brita S Sørensen
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; Experimental Clinical Oncology - Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
| | - Jörg Pawelke
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Institute of Radiooncology-OncoRay, Dresden, Germany
| | - Julia Bauer
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
| | | | - Alexandru Dasu
- The Skandion Clinic, Uppsala, Sweden; Medical Radiation Sciences, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Morten Høyer
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - Christian P Karger
- Dept. of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany; Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
| | - Mechthild Krause
- OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany; Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Institute of Radiooncology-OncoRay, Dresden, Germany; German Cancer Consortium Dresden and German Cancer Research Center Heidelberg, Germany; Dept. of Radiation Oncology, University Hospital and Faculty of Medicine C.G. Carus, Dresden, Germany; National Center for Tumor Diseases Dresden, German Cancer Research Center Heidelberg, University Hospital and Faculty of Medicine C.G. Carus Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany
| | - Marco Schwarz
- Protontherapy Department -Trento Hospital, and TIFPA-INFN, Trento, Italy
| | - Tracy S A Underwood
- Division of Cancer Sciences, School of Medical Sciences, The University of Manchester, UK
| | - Dirk Wagenaar
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gillian A Whitfield
- The Christie NHS Foundation Trust, Manchester, UK; University of Manchester, UK
| | - Armin Lühr
- Department of Physics, TU Dortmund University, Dortmund, Germany
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23
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Kalholm F, Grzanka L, Traneus E, Bassler N. A systematic review on the usage of averaged LET in radiation biology for particle therapy. Radiother Oncol 2021; 161:211-221. [PMID: 33894298 DOI: 10.1016/j.radonc.2021.04.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 12/20/2022]
Abstract
Linear Energy Transfer (LET) is widely used to express the radiation quality of ion beams, when characterizing the biological effectiveness. However, averaged LET may be defined in multiple ways, and the chosen definition may impact the resulting reported value. We review averaged LET definitions found in the literature, and quantify which impact using these various definitions have for different reference setups. We recorded the averaged LET definitions used in 354 publications quantifying the relative biological effectiveness (RBE) of hadronic beams, and investigated how these various definitions impact the reported averaged LET using a Monte Carlo particle transport code. We find that the kind of averaged LET being applied is, generally, poorly defined. Some definitions of averaged LET may influence the reported averaged LET values up to an order of magnitude. For publications involving protons, most applied dose averaged LET when reporting RBE. The absence of what target medium is used and what secondary particles are included further contributes to an ill-defined averaged LET. We also found evidence of inconsistent usage of averaged LET definitions when deriving LET-based RBE models. To conclude, due to commonly ill-defined averaged LET and to the inherent problems of LET-based RBE models, averaged LET may only be used as a coarse indicator of radiation quality. We propose a more rigorous way of reporting LET values, and suggest that ideally the entire particle fluence spectra should be recorded and provided for future RBE studies, from which any type of averaged LET (or other quantities) may be inferred.
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Affiliation(s)
- Fredrik Kalholm
- Medical Radiation Physics, Dept. of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology and Pathology, Medical Radiation Physics, Karolinska Institutet, Stockholm, Sweden
| | - Leszek Grzanka
- Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland
| | | | - Niels Bassler
- Medical Radiation Physics, Dept. of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology and Pathology, Medical Radiation Physics, Karolinska Institutet, Stockholm, Sweden; Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark; Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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24
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Howard ME, Denbeigh JM, Debrot EK, Remmes NB, Herman MG, Beltran CJ. A High-Precision Method for In Vitro Proton Irradiation. Int J Part Ther 2020; 7:62-69. [PMID: 33274258 PMCID: PMC7707323 DOI: 10.14338/ijpt-20-00007.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 07/02/2020] [Indexed: 01/06/2023] Open
Abstract
Purpose Although proton therapy has become a well-established radiation modality, continued efforts are needed to improve our understanding of the molecular and cellular mechanisms occurring during treatment. Such studies are challenging, requiring many resources. The purpose of this study was to create a phantom that would allow multiple in vitro experiments to be irradiated simultaneously with a spot-scanning proton beam. Materials and Methods The setup included a modified patient-couch top coupled with a high-precision robotic arm for positioning. An acrylic phantom was created to hold 4 6-well cell-culture plates at 2 different positions along the Bragg curve in a reproducible manner. The proton treatment plan consisted of 1 large field encompassing all 4 plates with a monoenergetic 76.8-MeV posterior beam. For robust delivery, a mini pyramid filter was used to broaden the Bragg peak (BP) in the depth direction. Both a Markus ionization chamber and EBT3 radiochromic film measurements were used to verify absolute dose. Results A treatment plan for the simultaneous irradiation of 2 plates irradiated with high linear energy transfer protons (BP, 7 keV/μm) and 2 plates irradiated with low linear energy transfer protons (entrance, 2.2 keV/μm) was created. Dose uncertainty was larger across the setup for cell plates positioned at the BP because of beam divergence and, subsequently, variable proton-path lengths. Markus chamber measurements resulted in uncertainty values of ±1.8% from the mean dose. Negligible differences were seen in the entrance region (<0.3%). Conclusion The proposed proton irradiation setup allows 4 plates to be simultaneously irradiated with 2 different portions (entrance and BP) of a 76.8-MeV beam. Dosimetric uncertainties across the setup are within ±1.8% of the mean dose.
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Affiliation(s)
| | - Janet M Denbeigh
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Michael G Herman
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
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25
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Sakata D, Belov O, Bordage MC, Emfietzoglou D, Guatelli S, Inaniwa T, Ivanchenko V, Karamitros M, Kyriakou I, Lampe N, Petrovic I, Ristic-Fira A, Shin WG, Incerti S. Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA. Sci Rep 2020; 10:20788. [PMID: 33247225 PMCID: PMC7695857 DOI: 10.1038/s41598-020-75982-x] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 10/15/2020] [Indexed: 12/24/2022] Open
Abstract
Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation’s track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic “fully integrated” MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of \documentclass[12pt]{minimal}
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\begin{document}$$\gamma$$\end{document}γ-H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.
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Affiliation(s)
- Dousatsu Sakata
- Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST, Chiba, Japan.
| | - Oleg Belov
- Joint Institute for Nuclear Research, Dubna, Russia.,Dubna State University, Dubna, Russia
| | - Marie-Claude Bordage
- INSERM, UMR 1037, CRCT, Université Paul Sabatier, Toulouse, France.,UMR 1037, CRCT, Université Toulouse III-Paul Sabatier, Toulouse, France
| | - Dimitris Emfietzoglou
- Medical Physics Laboratory, Medical School, University of Ioannina, 45110, Ioannina, Greece
| | - Susanna Guatelli
- Centre For Medical Radiation Physics, University of Wollongong, Wollongong, Australia
| | - Taku Inaniwa
- Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST, Chiba, Japan
| | - Vladimir Ivanchenko
- Geant4 Associates International Ltd, Hebden Bridge, UK.,Tomsk State University, Tomsk, Russia
| | | | - Ioanna Kyriakou
- Medical Physics Laboratory, Medical School, University of Ioannina, 45110, Ioannina, Greece
| | | | - Ivan Petrovic
- Vinca Institute of Nuclear Science, University of Belgrade, Belgrade, Serbia
| | | | - Wook-Geun Shin
- Univ. Bordeaux, CNRS, CENBG, UMR 5797, Gradignan, 33170, France
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26
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Obrador E, Salvador R, Villaescusa JI, Soriano JM, Estrela JM, Montoro A. Radioprotection and Radiomitigation: From the Bench to Clinical Practice. Biomedicines 2020; 8:E461. [PMID: 33142986 PMCID: PMC7692399 DOI: 10.3390/biomedicines8110461] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 10/27/2020] [Accepted: 10/29/2020] [Indexed: 02/07/2023] Open
Abstract
The development of protective agents against harmful radiations has been a subject of investigation for decades. However, effective (ideal) radioprotectors and radiomitigators remain an unsolved problem. Because ionizing radiation-induced cellular damage is primarily attributed to free radicals, radical scavengers are promising as potential radioprotectors. Early development of such agents focused on thiol synthetic compounds, e.g., amifostine (2-(3-aminopropylamino) ethylsulfanylphosphonic acid), approved as a radioprotector by the Food and Drug Administration (FDA, USA) but for limited clinical indications and not for nonclinical uses. To date, no new chemical entity has been approved by the FDA as a radiation countermeasure for acute radiation syndrome (ARS). All FDA-approved radiation countermeasures (filgrastim, a recombinant DNA form of the naturally occurring granulocyte colony-stimulating factor, G-CSF; pegfilgrastim, a PEGylated form of the recombinant human G-CSF; sargramostim, a recombinant granulocyte macrophage colony-stimulating factor, GM-CSF) are classified as radiomitigators. No radioprotector that can be administered prior to exposure has been approved for ARS. This differentiates radioprotectors (reduce direct damage caused by radiation) and radiomitigators (minimize toxicity even after radiation has been delivered). Molecules under development with the aim of reaching clinical practice and other nonclinical applications are discussed. Assays to evaluate the biological effects of ionizing radiations are also analyzed.
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Affiliation(s)
- Elena Obrador
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Rosario Salvador
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Juan I. Villaescusa
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain;
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
| | - José M. Soriano
- Food & Health Lab, Institute of Materials Science, University of Valencia, 46980 Valencia, Spain;
- Joint Research Unit in Endocrinology, Nutrition and Clinical Dietetics, University of Valencia-Health Research Institute IISLaFe, 46026 Valencia, Spain
| | - José M. Estrela
- Department of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46010 Valencia, Spain; (E.O.); (R.S.); (J.M.E.)
| | - Alegría Montoro
- Service of Radiological Protection, Clinical Area of Medical Image, La Fe University Hospital, 46026 Valencia, Spain;
- Biomedical Imaging Research Group GIBI230, Health Research Institute (IISLaFe), La Fe University Hospital, 46026 Valencia, Spain
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27
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Carbon Ion Radiobiology. Cancers (Basel) 2020; 12:cancers12103022. [PMID: 33080914 PMCID: PMC7603235 DOI: 10.3390/cancers12103022] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/12/2020] [Accepted: 10/14/2020] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Radiotherapy with carbon ions has been used for over 20 years in Asia and Europe and is now planned in the USA. The physics advantages of carbon ions compared to X-rays are similar to those of protons, but their radiobiological features are quite distinct and may lead to a breakthrough in the treatment of some cancers characterized by high mortality. Abstract Radiotherapy using accelerated charged particles is rapidly growing worldwide. About 85% of the cancer patients receiving particle therapy are irradiated with protons, which have physical advantages compared to X-rays but a similar biological response. In addition to the ballistic advantages, heavy ions present specific radiobiological features that can make them attractive for treating radioresistant, hypoxic tumors. An ideal heavy ion should have lower toxicity in the entrance channel (normal tissue) and be exquisitely effective in the target region (tumor). Carbon ions have been chosen because they represent the best combination in this direction. Normal tissue toxicities and second cancer risk are similar to those observed in conventional radiotherapy. In the target region, they have increased relative biological effectiveness and a reduced oxygen enhancement ratio compared to X-rays. Some radiobiological properties of densely ionizing carbon ions are so distinct from X-rays and protons that they can be considered as a different “drug” in oncology, and may elicit favorable responses such as an increased immune response and reduced angiogenesis and metastatic potential. The radiobiological properties of carbon ions should guide patient selection and treatment protocols to achieve optimal clinical results.
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Verona C, Cirrone GAP, Magrin G, Marinelli M, Palomba S, Petringa G, Rinati GV. Microdosimetric measurements of a monoenergetic and modulated Bragg Peaks of 62 MeV therapeutic proton beam with a synthetic single crystal diamond microdosimeter. Med Phys 2020; 47:5791-5801. [DOI: 10.1002/mp.14466] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/04/2020] [Accepted: 09/07/2020] [Indexed: 12/16/2022] Open
Affiliation(s)
- C. Verona
- Dipartimento di Ingegneria Industriale Universita di Roma “Tor Vergata” via del Politecnico 1 Roma00133 Italy
| | - G. A. P. Cirrone
- Istituto Nazionale di Fisica Nucleare INFN Laboratori Nazionali del Sud via Santa Sofia 62 Catania Italy
| | - G. Magrin
- MedAustron Ion Therapy Center Marie Curie‐Strasse 5 Wiener NeustadtA‐2700 Austria
| | - M. Marinelli
- Dipartimento di Ingegneria Industriale Universita di Roma “Tor Vergata” via del Politecnico 1 Roma00133 Italy
| | - S. Palomba
- Dipartimento di Ingegneria Industriale Universita di Roma “Tor Vergata” via del Politecnico 1 Roma00133 Italy
| | - G. Petringa
- Istituto Nazionale di Fisica Nucleare INFN Laboratori Nazionali del Sud via Santa Sofia 62 Catania Italy
| | - G. Verona Rinati
- Dipartimento di Ingegneria Industriale Universita di Roma “Tor Vergata” via del Politecnico 1 Roma00133 Italy
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Liu J, Bi K, Yang R, Li H, Nikitaki Z, Chang L. Role of DNA damage and repair in radiation cancer therapy: a current update and a look to the future. Int J Radiat Biol 2020; 96:1329-1338. [PMID: 32776818 DOI: 10.1080/09553002.2020.1807641] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Radiation Therapy (RT), a widely used modality against cancer, depends its effectiveness on three pillars: tumor targeting precision, minimum dose determination and co-administrated agents. The underlying biological processes of the latter two pillars are DNA damage and repair. Hopefully, Radiation treatment has nowadays been improved a lot, in terms of tumor targeting precision as well as in minimization of side effects, by reducing normal tissue radiation exposure and therefore its occurred toxicity. Normal tissue toxicity is a major risk factor for induction of genomic instability which may lead to secondary cancer development, due to the radiation therapy itself. We discuss, in this review, the biological significance of IR-induced complex DNA damage, which is currently accepted as the definite regulator of biological response to radiation, as well as the regulator of the implications of this IR signature in radiation therapy. We unite accumulating evidence and knowledge over the last 20 years or so on the importance of radiation treatment of cancer. This radiation-based therapy comes unfortunately with a deficit and this is the radiation-induced genetic instability which can fuel radiation toxicity, even several years after the initial treatment on patients through the activation of DNA damage response (DDR) and the immune system.
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Affiliation(s)
- Jingya Liu
- Department of Community Medicine, Tangshan Workers' Hospital, Tangshan, China
| | - Kun Bi
- Department of Neurosurgery, Tangshan Workers' Hospital, Tangshan, China
| | - Run Yang
- Department of Preventive Healthcare, Qishan Hospital, Yantai, China
| | - Hongxia Li
- Department of Interventional Medicine, Yantaishan Hospital, Yantai, China
| | - Zacharenia Nikitaki
- DNA Damage Laboratory, Department of Physics, School of Applied Mathematics and Physical Sciences, National Technical University of Athens (NTUA), Athens, Greece
| | - Li Chang
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
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30
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Belousov AV, Morozov VN, Krusanov GA, Moiseev AN, Davydov AS, Shtil AA, Klimanov VA, Kolyvanova MA, Samoylov AS. The Change in the Linear Energy Transfer of a Clinical Proton Beam in the Presence of Gold Nanoparticles. Biophysics (Nagoya-shi) 2020. [DOI: 10.1134/s0006350920040053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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31
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Mein S, Klein C, Kopp B, Magro G, Harrabi S, Karger CP, Haberer T, Debus J, Abdollahi A, Dokic I, Mairani A. Assessment of RBE-Weighted Dose Models for Carbon Ion Therapy Toward Modernization of Clinical Practice at HIT: In Vitro, in Vivo, and in Patients. Int J Radiat Oncol Biol Phys 2020; 108:779-791. [PMID: 32504659 DOI: 10.1016/j.ijrobp.2020.05.041] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/02/2020] [Accepted: 05/21/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Present-day treatment planning in carbon ion therapy is conducted with assumptions for a limited number of tissue types and models for effective dose. Here, we comprehensively assess relative biological effectiveness (RBE) in carbon ion therapy and associated models toward the modernization of current clinical practice in effective dose calculation. METHODS Using 2 human (A549, H460) and 2 mouse (B16, Renca) tumor cell lines, clonogenic cell survival assay was performed for examination of changes in RBE along the full range of clinical-like spread-out Bragg peak (SOBP) fields. Prediction power of the local effect model (LEM1 and LEM4) and the modified microdosimetric kinetic model (mMKM) was assessed. Experimentation and analysis were carried out in the frame of a multidimensional end point study for clinically relevant ranges of physical dose (D), dose-averaged linear energy transfer (LETd), and base-line photon radio-sensitivity (α/β)x. Additionally, predictions were compared against previously reported RBE measurements in vivo and surveyed in patient cases. RESULTS RBE model prediction performance varied among the investigated perspectives, with mMKM prediction exhibiting superior agreement with measurements both in vitro and in vivo across the 3 investigated end points. LEM1 and LEM4 performed their best in the highest LET conditions but yielded overestimations and underestimations in low/midrange LET conditions, respectively, as demonstrated by comparison with measurements. Additionally, the analysis of patient treatment plans revealed substantial variability across the investigated models (±20%-30% uncertainty), largely dependent on the selected model and absolute values for input tissue parameters αx and βx. CONCLUSION RBE dependencies in vitro, in vivo, and in silico were investigated with respect to various clinically relevant end points in the context of tumor-specific tissue radio-sensitivity assignment and accurate RBE modeling. Discovered model trends and performances advocate upgrading current treatment planning schemes in carbon ion therapy and call for verification via clinical outcome analysis with large patient cohorts.
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Affiliation(s)
- Stewart Mein
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany; German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany; Faculty of Physics and Astronomy, Heidelberg University, Germany
| | - Carmen Klein
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany; German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany; Faculty of Biosciences, Heidelberg University, Germany
| | - Benedikt Kopp
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany; German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany; Faculty of Physics and Astronomy, Heidelberg University, Germany
| | - Giuseppe Magro
- National Centre of Oncological Hadrontherapy, Medical Physics, Pavia, Italy
| | - Semi Harrabi
- Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany; National Center for Tumor Diseases, Heidelberg, Germany; Heidelberg Ion-Beam Therapy Center, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christian P Karger
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany
| | - Thomas Haberer
- Heidelberg Ion-Beam Therapy Center, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen Debus
- German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany; Faculty of Physics and Astronomy, Heidelberg University, Germany; National Center for Tumor Diseases, Heidelberg, Germany; Heidelberg Ion-Beam Therapy Center, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Amir Abdollahi
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany; German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany
| | - Ivana Dokic
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, Germany; German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, Germany; Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, Germany.
| | - Andrea Mairani
- Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany; National Centre of Oncological Hadrontherapy, Medical Physics, Pavia, Italy; Heidelberg Ion-Beam Therapy Center, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
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Bortot D, Mazzucconi D, Pola A, Fazzi A, Pullia M, Savazzi S, Colautti P, Conte V, Agosteo S. A nano-microdosimetric characterization of a therapeutic carbon ion beam at CNAO. Radiat Phys Chem Oxf Engl 1993 2020. [DOI: 10.1016/j.radphyschem.2019.108674] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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33
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Nickoloff JA, Sharma N, Taylor L. Clustered DNA Double-Strand Breaks: Biological Effects and Relevance to Cancer Radiotherapy. Genes (Basel) 2020; 11:E99. [PMID: 31952359 PMCID: PMC7017136 DOI: 10.3390/genes11010099] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 01/08/2020] [Accepted: 01/14/2020] [Indexed: 01/03/2023] Open
Abstract
Cells manage to survive, thrive, and divide with high accuracy despite the constant threat of DNA damage. Cells have evolved with several systems that efficiently repair spontaneous, isolated DNA lesions with a high degree of accuracy. Ionizing radiation and a few radiomimetic chemicals can produce clustered DNA damage comprising complex arrangements of single-strand damage and DNA double-strand breaks (DSBs). There is substantial evidence that clustered DNA damage is more mutagenic and cytotoxic than isolated damage. Radiation-induced clustered DNA damage has proven difficult to study because the spectrum of induced lesions is very complex, and lesions are randomly distributed throughout the genome. Nonetheless, it is fairly well-established that radiation-induced clustered DNA damage, including non-DSB and DSB clustered lesions, are poorly repaired or fail to repair, accounting for the greater mutagenic and cytotoxic effects of clustered lesions compared to isolated lesions. High linear energy transfer (LET) charged particle radiation is more cytotoxic per unit dose than low LET radiation because high LET radiation produces more clustered DNA damage. Studies with I-SceI nuclease demonstrate that nuclease-induced DSB clusters are also cytotoxic, indicating that this cytotoxicity is independent of radiogenic lesions, including single-strand lesions and chemically "dirty" DSB ends. The poor repair of clustered DSBs at least in part reflects inhibition of canonical NHEJ by short DNA fragments. This shifts repair toward HR and perhaps alternative NHEJ, and can result in chromothripsis-mediated genome instability or cell death. These principals are important for cancer treatment by low and high LET radiation.
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Affiliation(s)
- Jac A. Nickoloff
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA; (N.S.); (L.T.)
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Dai T, Zhang H, Liu X, Dai Z, He P, Ma Y, Shen G, Chen W, Li Q. Nanodosimetric understanding to the dependence of the relationship between dose-averaged lineal energy on nanoscale and LET on ion species. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2020; 43:10.1007/s13246-020-00840-z. [PMID: 31909818 DOI: 10.1007/s13246-020-00840-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 01/02/2020] [Indexed: 11/26/2022]
Abstract
With the extension of ion species in ion-beam radiotherapy, the sole dependence of relative biological effectiveness (RBE) on linear energy transfer (LET) is insufficient when comparing RBE for ion beams with the same LET value. The aim of the present study was to provide a systematic study of the nanodosimetry for ion beams with the same LET value. Based on the calculated LET profiles of ion beams with range about 130 mm, lineal energy spectra and dose-averaged lineal energy [Formula: see text] on 4 nm site for various clinical ion beams were obtained. Then, the lineal energy spectra and [Formula: see text] values were compared for ion beams with the same LET values. The results showed that the relationships between [Formula: see text] and LET for various ion beams present an dependence on ion species. For ion beams with the same LET value, the ion beams with smaller nucleon number yielded greater [Formula: see text] values. The probability of the small-nucleon-number ion beams to generate large energy deposition events on nanoscale was higher than that of the large-nucleon-number ion beams. The dependence of the relationship between RBE and LET on ion species might be attributed to the fluctuation of energy depositions on nanometer scale.
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Affiliation(s)
- Tianyuan Dai
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hui Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xinguo Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhongying Dai
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Pengbo He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuanyuan Ma
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guosheng Shen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weiqiang Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiang Li
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 73000, China.
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Science, Lanzhou, 730000, China.
- Key Laboratory of Basic Research on Heavy Ion Radiation Application in Medicine, Gansu Province, Lanzhou, 730000, China.
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Jones B, Hill MA. Physical characteristics at the turnover-points of relative biological effect (RBE) with linear energy transfer (LET). Phys Med Biol 2019; 64:225010. [PMID: 31665711 DOI: 10.1088/1361-6560/ab52a5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
This paper considers the kinematic physical characteristics of ionic beams for maximum relative bio-effectiveness (RBE). RBE studies, based on heterogenous cell survival studies at different laboratories and linear energy transfer (LET) conditions for proton, helium, carbon, neon and argon ions, have been further analysed to determine the LETU values where RBE is maximal and the LET-RBE relationship has a turnover point. The SRIM stopping power software and other classical equations are used to determine the particle velocities, kinetic energies and their effective ionic charges at LETU. The estimated mean LETU values increase with atomic number (Z). Each LETU has a unique relativistic velocity, β = v/c, the velocity v expressed as a fraction of the speed of light, (c), and which is non-linearly proportional to Z. For ions helium and heavier ions, these velocities indicate that the effective charge Z * is around 0.99 of the full Z value at each LETU, with remarkably stable velocities of 3-4 nm · fs-1 per nucleon, or around 6-8 nm · fs-1 per unit Z. For Z = 1, (protons and deuterium) some values fall outside these ranges but the result depends on the mix of proton and deuterium used in experiments. An alternative index of βA/Z 2 (A is the atomic mass number), suggests an average velocity of around 15 nm · fs-1 for each particle at LETU. These distances, traversed in the time of the radiochemical process initiation, are all within the dimensions of the nucleosome. Curve fitting of the data set provides a predictive equation for LETU for any ion, as LETU = 30.4 + [Formula: see text] (1 - Exp[-0.61 √ (Z - 1)]) when normalised to protons. These data can be extended to heavier ions such as silicon and iron and give values that are consistent with experimental data. Each ion probably has a unique LETU value. Kinematic studies show maximum bio-effectiveness occurs at particle velocities where electron stripping remains at around 99% and where the velocity per nucleon is around 3-4 nm · fs-1. This study enhances the limited prior knowledge about the physical conditions of particle beams that provide maximum bio-effectiveness, with applications in particle radiotherapy, radiation protection and space travel.
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Affiliation(s)
- Bleddyn Jones
- Gray Laboratory, Oxford Institute for Radiation Oncology and Biology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DG, United Kingdom. Author to whom any correspondence should be addressed
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McFadden CH, Rahmanian S, Flint DB, Bright SJ, Yoon DS, O'Brien DJ, Asaithamby A, Abdollahi A, Greilich S, Sawakuchi GO. Isolation of time-dependent DNA damage induced by energetic carbon ions and their fragments using fluorescent nuclear track detectors. Med Phys 2019; 47:272-281. [PMID: 31677156 DOI: 10.1002/mp.13897] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 10/14/2019] [Accepted: 10/22/2019] [Indexed: 12/17/2022] Open
Abstract
PURPOSE High energetic carbon (C-) ion beams undergo nuclear interactions with tissue, producing secondary nuclear fragments. Thus, at depth, C-ion beams are composed of a mixture of different particles with different linear energy transfer (LET) values. We developed a technique to enable isolation of DNA damage response (DDR) in mixed radiation fields using beam line microscopy coupled with fluorescence nuclear track detectors (FNTDs). METHODS We imaged live cells on a coverslip made of FNTDs right after C-ion, proton or photon irradiation using an in-house built confocal microscope placed in the beam path. We used the FNTD to link track traversals with DNA damage and separated DNA damage induced by primary particles from fragments. RESULTS We were able to spatially link physical parameters of radiation tracks to DDR in live cells to investigate spatiotemporal DDR in multi-ion radiation fields in real time, which was previously not possible. We demonstrated that the response of lesions produced by the high-LET primary particles associates most strongly with cell death in a multi-LET radiation field, and that this association is not seen when analyzing radiation induced foci in aggregate without primary/fragment classification. CONCLUSIONS We report a new method that uses confocal microscopy in combination with FNTDs to provide submicrometer spatial-resolution measurements of radiation tracks in live cells. Our method facilitates expansion of the radiation-induced DDR research because it can be used in any particle beam line including particle therapy beam lines. CATEGORY Biological Physics and Response Prediction.
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Affiliation(s)
- Conor H McFadden
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Shirin Rahmanian
- Division of Medical Physics in Radiation Oncology, German Cancer Research Center, 69120, Heidelberg, Germany.,Heidelberg Institute for Radiation Oncology, National Center for Radiation Research in Oncology, 69120, Heidelberg, Germany
| | - David B Flint
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Graduate School of Biomedical Sciences, The University of Texas, Houston, TX, 77030, USA
| | - Scott J Bright
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - David S Yoon
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Daniel J O'Brien
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Aroumougame Asaithamby
- Division of Molecular Radiation Biology, Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Amir Abdollahi
- Heidelberg Institute for Radiation Oncology, National Center for Radiation Research in Oncology, 69120, Heidelberg, Germany.,Division of Molecular and Translational Radiation Oncology, Heidelberg Ion-Beam Therapy Center, Heidelberg University Hospital, 69120, Heidelberg, Germany.,German Cancer Consortium, 69120, Heidelberg, Germany.,Translational Radiation Oncology, National Center for Tumor Diseases, German Cancer Research Center, 69120, Heidelberg, Germany
| | - Steffen Greilich
- Division of Medical Physics in Radiation Oncology, German Cancer Research Center, 69120, Heidelberg, Germany.,Heidelberg Institute for Radiation Oncology, National Center for Radiation Research in Oncology, 69120, Heidelberg, Germany
| | - Gabriel O Sawakuchi
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Graduate School of Biomedical Sciences, The University of Texas, Houston, TX, 77030, USA
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37
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Sørensen BS. Commentary: RBE in proton therapy - where is the experimental in vivo data? Acta Oncol 2019; 58:1337-1339. [PMID: 31578911 DOI: 10.1080/0284186x.2019.1669819] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Brita Singers Sørensen
- Department of Experimental Clinical Oncology and Danish Center for Particle Therapy, DCPT, Aarhus University Hospital, Aarhus, Denmark
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38
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Abstract
Proton and ion beam therapy has been introduced in the Lawrence Berkeley National Laboratory in the mid-1950s, when protons and helium ions have been used for the first time to treat patients. Starting in 1972, the scientists at Berkeley also were the first to use heavier ions (carbon, oxygen, neon, silicon and argon ions). The first clinical ion beam facility opened in 1994 in Japan and since then, the interest in radiotherapy with light ion beams has been increasing slowly but steadily, with 13 centers in clinical operation in 2019. All these centers are using carbon ions for clinical application.The article outlines the differences in physical properties of various light ions as compared to protons in view of the application in radiotherapy. These include the energy loss and depth dose properties, multiple scattering, range straggling and nuclear fragmentation. In addition, the paper discusses differences arising from energy loss and linear energy transfer with respect to their biological effects.Moreover, the paper reviews briefly the existing clinical data comparing protons and ions and outlines the future perspectives for the clinical use of ions like oxygen and helium.
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Affiliation(s)
- Oliver Jäkel
- Heidelberg Ion-Beam Therapy Center (HIT) at the University Hospital Heidelberg, Heidelberg, Germany.,Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Heidelberg, Germany.,Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
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39
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Conte V, Bianchi A, Selva A, Petringa G, Cirrone GAP, Parisi A, Vanhavere F, Colautti P. Microdosimetry at the CATANA 62 MeV proton beam with a sealed miniaturized TEPC. Phys Med 2019; 64:114-122. [PMID: 31515010 DOI: 10.1016/j.ejmp.2019.06.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 06/13/2019] [Accepted: 06/23/2019] [Indexed: 11/15/2022] Open
Abstract
A new mini-TEPC with cylindrical sensitive volume of 0.9 mm in diameter and height, and with external diameter of 2.7 mm, has been developed to work without gas flow. With such a mini counter we have measured the physical quality of the 62 MeV therapeutic proton beam of CATANA (Catania, Italy). Measurements were performed at six precise positions along the Spread-Out Bragg Peak (SOBP): 1.4, 19.4, 24.6, 29.0, 29.7 and 30.8 mm, corresponding to positions of clinical relevance (entrance, proximal, central, and distal-edge of the SOBP) or of high lineal energy transfer (LET) increment (distal-dose drop off). Without refilling the microdosimeter with new gas, the measurements were repeated at the same positions 4 months later, in order to study the stability of the response in sealed-mode operation. From the microdosimetric spectra the frequency-mean lineal energy y-F and the dose-mean lineal energy y-D were derived and compared with average LET values calculated by means of Geant4 simulations. The comparison points out, in particular, a good agreement between microdosimetric y-D and the total dose-average LET¯d, which is the average LET of the mixed radiation field, including the contribution by nuclear reactions.
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Affiliation(s)
- V Conte
- INFN Laboratori Nazionali di Legnaro, viale dell'Università 2, 35020 Legnaro, Italy.
| | - A Bianchi
- INFN Laboratori Nazionali di Legnaro, viale dell'Università 2, 35020 Legnaro, Italy; Belgian Nuclear Research Centre, SCK·CEN, Boeretang 200, 2400 Mol, Belgium; UHasselt, Faculty of Engineering Technology, Centre for Environmental Sciences, Nuclear Technology Center, Agoralaan, 3590 Diepenbeek, Belgium
| | - A Selva
- INFN Laboratori Nazionali di Legnaro, viale dell'Università 2, 35020 Legnaro, Italy
| | - G Petringa
- INFN Laboratori Nazionali del Sud, via S. Sofia 62, 95123 Catania, Italy
| | - G A P Cirrone
- INFN Laboratori Nazionali del Sud, via S. Sofia 62, 95123 Catania, Italy
| | - A Parisi
- Belgian Nuclear Research Centre, SCK·CEN, Boeretang 200, 2400 Mol, Belgium
| | - F Vanhavere
- Belgian Nuclear Research Centre, SCK·CEN, Boeretang 200, 2400 Mol, Belgium
| | - P Colautti
- INFN Laboratori Nazionali di Legnaro, viale dell'Università 2, 35020 Legnaro, Italy
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40
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Kim MM, Irmen P, Shoniyozov K, Verginadis II, Cengel KA, Koumenis C, Metz JM, Dong L, Diffenderfer ES. Design and commissioning of an image-guided small animal radiation platform and quality assurance protocol for integrated proton and x-ray radiobiology research. Phys Med Biol 2019; 64:135013. [PMID: 31075786 PMCID: PMC8690893 DOI: 10.1088/1361-6560/ab20d9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Small animal x-ray irradiation platforms are expanding the capabilities and future pathways for radiobiology research. Meanwhile, proton radiotherapy is transitioning to a standard treatment modality in the clinician’s precision radiotherapy toolbox, highlighting a gap between state-of-the-art clinical radiotherapy and small animal radiobiology research. Comparative research of the biological differences between proton and x-ray beams could benefit from an integrated small animal irradiation system for in vivo experiments and corresponding quality assurance (QA) protocols to ensure rigor and reproducibility. The objective of this study is to incorporate a proton beam into a small animal radiotherapy platform while implementing QA modelled after clinical protocols. A 225 kV x-ray small animal radiation research platform (SARRP) was installed on rails to align with a modified proton experimental beamline from a 230 MeV cyclotron-based clinical system. Collimated spread out Bragg peaks (SOBP) were produced with beam parameters compatible with small animal irradiation. Proton beam characteristics were measured and alignment reproducibility with the x-ray system isocenter was evaluated. A QA protocol was designed to ensure consistent proton beam quality and alignment. As a preliminary study, cellular damage via γ-H2AX immunofluorescence staining in an irradiated mouse tumor model was used to verify the beam range in vivo. The beam line was commissioned to deliver Bragg peaks with range 4–30 mm in water at 2 Gy min−1. SOBPs were delivered with width up to 25 mm. Proton beam alignment with the x-ray system agreed within 0.5 mm. A QA phantom was created to ensure reproducible alignment of the platform and verify beam delivery. γ-H2AX staining verified expected proton range in vivo. An image-guided small animal proton/x-ray research system was developed to enable in vivo investigations of radiobiological effects of proton beams, comparative studies between proton and x-ray beams, and investigations into novel proton treatment methods.
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Thompson JM, Elliott A, D’Abrantes S, Sawakuchi GO, Hill MA. TRACKING DOWN ALPHA-PARTICLES: THE DESIGN, CHARACTERISATION AND TESTING OF A SHALLOW-ANGLED ALPHA-PARTICLE IRRADIATOR. RADIATION PROTECTION DOSIMETRY 2019; 183:264-269. [PMID: 30726978 PMCID: PMC6525335 DOI: 10.1093/rpd/ncy300] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Indexed: 06/09/2023]
Abstract
Human exposure to α-particles from radon and other radionuclides is associated with carcinogenesis, but if well controlled and targeted to cancer cells, α-particles may be used in radiotherapy. Thus, it is important to understand the biological effects of α-particles to predict cancer risk and optimise radiotherapy. To enable studies of α-particles in cells, we developed and characterised an α-particle automated irradiation rig that allows exposures at a shallow angle (70° to the normal) of cell monolayers in a 30 mm diameter dish to complement standard perpendicular irradiations. The measured incident energy of the α-particles was 3.3 ± 0.5 MeV (LET in water = 120 keV μm-1), with a maximum incident dose rate of 1.28 ± 0.02 Gy min-1, which for a 5 μm cell monolayer corresponds to a mean dose rate of 1.57 ± 0.02 Gy min-1 and a mean LET in water of 154 keV μm-1. The feasibility of resolving radiation-induced DNA double-strand breaks (DSB) foci along the track of α-particles was demonstrated using immunofluorescent labelling with γH2AX and 53BP1 in normal MRC-5 human lung cells.
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Affiliation(s)
- James M Thompson
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Gray Laboratories, ORCRB Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Amy Elliott
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Gray Laboratories, ORCRB Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Sofia D’Abrantes
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Gray Laboratories, ORCRB Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Gabriel O Sawakuchi
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., Unit 1420, Houston, TX 77030, USA
| | - Mark A Hill
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Gray Laboratories, ORCRB Roosevelt Drive, Oxford OX3 7DQ, UK
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Parisi A, Chiriotti S, De Saint-Hubert M, Van Hoey O, Vandevoorde C, Beukes P, de Kock EA, Symons J, Camero JN, Slabbert J, Mégret P, Debrot E, Bolst D, Rosenfeld A, Vanhavere F. A novel methodology to assess linear energy transfer and relative biological effectiveness in proton therapy using pairs of differently doped thermoluminescent detectors. Phys Med Biol 2019; 64:085005. [PMID: 30650402 DOI: 10.1088/1361-6560/aaff20] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A new methodology for assessing linear energy transfer (LET) and relative biological effectiveness (RBE) in proton therapy beams using thermoluminescent detectors is presented. The method is based on the different LET response of two different lithium fluoride thermoluminescent detectors (LiF:Mg,Ti and LiF:Mg,Cu,P) for measuring charged particles. The relative efficiency of the two detector types was predicted using the recently developed Microdosimetric d(z) Model in combination with the Monte Carlo code PHITS. Afterwards, the calculated ratio of the expected response of the two detector types was correlated with the fluence- and dose- mean values of the unrestricted proton LET. Using the obtained proton dose mean LET as input, the RBE was assessed using a phenomenological biophysical model of cell survival. The aforementioned methodology was benchmarked by exposing the detectors at different depths within the spread out Bragg peak (SOBP) of a clinical proton beam at iThemba LABS. The assessed LET values were found to be in good agreement with the results of radiation transport computer simulations performed using the Monte Carlo code GEANT4. Furthermore, the estimated RBE values were compared with the RBE values experimentally determined by performing colony survival measurements with Chinese Hamster Ovary (CHO) cells during the same experimental run. A very good agreement was found between the results of the proposed methodology and the results of the in vitro study.
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Affiliation(s)
- Alessio Parisi
- Belgian Nuclear Research Centre SCK·CEN, Mol, Belgium. University of Mons, Faculty of Engineering, Mons, Belgium. Author to whom any correspondence should be addressed
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43
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DNA DSB Repair Dynamics following Irradiation with Laser-Driven Protons at Ultra-High Dose Rates. Sci Rep 2019; 9:4471. [PMID: 30872656 PMCID: PMC6418121 DOI: 10.1038/s41598-019-40339-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 02/07/2019] [Indexed: 11/09/2022] Open
Abstract
Protontherapy has emerged as more effective in the treatment of certain tumors than photon based therapies. However, significant capital and operational costs make protontherapy less accessible. This has stimulated interest in alternative proton delivery approaches, and in this context the use of laser-based technologies for the generation of ultra-high dose rate ion beams has been proposed as a prospective route. A better understanding of the radiobiological effects at ultra-high dose-rates is important for any future clinical adoption of this technology. In this study, we irradiated human skin fibroblasts-AG01522B cells with laser-accelerated protons at a dose rate of 109 Gy/s, generated using the Gemini laser system at the Rutherford Appleton Laboratory, UK. We studied DNA double strand break (DSB) repair kinetics using the p53 binding protein-1(53BP1) foci formation assay and observed a close similarity in the 53BP1 foci repair kinetics in the cells irradiated with 225 kVp X-rays and ultra- high dose rate protons for the initial time points. At the microdosimetric scale, foci per cell per track values showed a good correlation between the laser and cyclotron-accelerated protons indicating similarity in the DNA DSB induction and repair, independent of the time duration over which the dose was delivered.
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44
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Chew MT, Bradley DA, Suzuki M, Matsufuji N, Murakami T, Jones B, Nisbet A. The radiobiological effects of He, C and Ne ions as a function of LET on various glioblastoma cell lines. JOURNAL OF RADIATION RESEARCH 2019; 60:178-188. [PMID: 30624699 PMCID: PMC6430257 DOI: 10.1093/jrr/rry099] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 08/07/2018] [Indexed: 06/09/2023]
Abstract
The effects of the charged ion species 4He, 12C and 20Ne on glioblastoma multiforme (GBM) T98G, U87 and LN18 cell lines were compared with the effects of 200 kVp X-rays (1.7 keV/μm). These cell lines have different genetic profiles. Individual GBM relative biological effectiveness (RBE) was estimated in two ways: the RBE10 at 10% survival fraction and the RBE2Gy after 2 Gy doses. The linear quadratic model radiosensitivity parameters α and β and the α/β ratio of each ion type were determined as a function of LET. Mono-energetic 4He, 12C and 20Ne ions were generated by the Heavy Ion Medical Accelerator at the National Institute of Radiological Sciences in Chiba, Japan. Colony-formation assays were used to evaluate the survival fractions. The LET of the various ions used ranged from 2.3 to 100 keV/μm (covering the depth-dose plateau region to clinically relevant LET at the Bragg peak). For U87 and LN18, the RBE10 increased with LET and peaked at 85 keV/μm, whereas T98G peaked at 100 keV/μm. All three GBM α parameters peaked at 100 keV/μm. There is a statistically significant difference between the three GBM RBE10 values, except at 100 keV/μm (P < 0.01), and a statistically significant difference between the α values of the GBM cell lines, except at 85 and 100 keV/μm. The biological response varied depending on the GBM cell lines and on the ions used.
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Affiliation(s)
- Ming Tsuey Chew
- Sunway University, School of Healthcare and Health Sciences, Centre for Biomedical Physics, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, Selangor, Malaysia
| | - David A Bradley
- Sunway University, School of Healthcare and Health Sciences, Centre for Biomedical Physics, No. 5, Jalan Universiti, Bandar Sunway, Petaling Jaya, Selangor, Malaysia
- Department of Physics, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK
| | - Masao Suzuki
- Department of Basic Medical Sciences for Radiation Damages; National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba-shi, Chiba, Japan
| | - Naruhiro Matsufuji
- Radiation Effect Research Team, Department of Accelerator and Medical Physics, NIRS, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba-shi, Chiba, Japan
| | - Takeshi Murakami
- Heavy-Ion Radiotherapy Promotion Unit & Department of Accelerator and Medical Physics, NIRS, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage-ku, Chiba-shi, Chiba, Japan
| | - Bleddyn Jones
- Gray Laboratory, CRUK/MRC Oxford, Oncology Institute, University of Oxford, ORCRB-Roosevelt Drive, Oxford, UK
| | - Andrew Nisbet
- Department of Physics, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK
- The Department of Medical Physics, Royal Surrey County Hospital, Egerton Road, Guildford, UK
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45
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Paganetti H, Blakely E, Carabe-Fernandez A, Carlson DJ, Das IJ, Dong L, Grosshans D, Held KD, Mohan R, Moiseenko V, Niemierko A, Stewart RD, Willers H. Report of the AAPM TG-256 on the relative biological effectiveness of proton beams in radiation therapy. Med Phys 2019; 46:e53-e78. [PMID: 30661238 DOI: 10.1002/mp.13390] [Citation(s) in RCA: 181] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 11/21/2018] [Accepted: 01/13/2019] [Indexed: 12/14/2022] Open
Abstract
The biological effectiveness of proton beams relative to photon beams in radiation therapy has been taken to be 1.1 throughout the history of proton therapy. While potentially appropriate as an average value, actual relative biological effectiveness (RBE) values may differ. This Task Group report outlines the basic concepts of RBE as well as the biophysical interpretation and mathematical concepts. The current knowledge on RBE variations is reviewed and discussed in the context of the current clinical use of RBE and the clinical relevance of RBE variations (with respect to physical as well as biological parameters). The following task group aims were designed to guide the current clinical practice: Assess whether the current clinical practice of using a constant RBE for protons should be revised or maintained. Identifying sites and treatment strategies where variable RBE might be utilized for a clinical benefit. Assess the potential clinical consequences of delivering biologically weighted proton doses based on variable RBE and/or LET models implemented in treatment planning systems. Recommend experiments needed to improve our current understanding of the relationships among in vitro, in vivo, and clinical RBE, and the research required to develop models. Develop recommendations to minimize the effects of uncertainties associated with proton RBE for well-defined tumor types and critical structures.
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Affiliation(s)
- Harald Paganetti
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Eleanor Blakely
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - David J Carlson
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Indra J Das
- New York University Langone Medical Center & Laura and Isaac Perlmutter Cancer Center, New York, NY, USA
| | - Lei Dong
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - David Grosshans
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kathryn D Held
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Radhe Mohan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Andrzej Niemierko
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Robert D Stewart
- Department of Radiation Oncology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Henning Willers
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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46
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Newpower M, Patel D, Bronk L, Guan F, Chaudhary P, McMahon SJ, Prise KM, Schettino G, Grosshans DR, Mohan R. Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness. Int J Radiat Oncol Biol Phys 2019; 104:316-324. [PMID: 30731186 DOI: 10.1016/j.ijrobp.2019.01.094] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 12/28/2018] [Accepted: 01/29/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE We introduce a methodology to calculate the microdosimetric quantity dose-mean lineal energy for input into the microdosimetric kinetic model (MKM) to model the relative biological effectiveness (RBE) of proton irradiation experiments. METHODS AND MATERIALS The data from 7 individual proton RBE experiments were included in this study. In each experiment, the RBE at several points along the Bragg curve was measured. Monte Carlo simulations to calculate the lineal energy probability density function of 172 different proton energies were carried out with use of Geant4 DNA. We calculated the fluence-weighted lineal energy probability density function (fw(y)), based on the proton energy spectra calculated through Monte Carlo at each experimental depth, calculated the dose-mean lineal energy yD¯ for input into the MKM, and then computed the RBE. The radius of the domain (rd) was varied to reach the best agreement between the MKM-predicted RBE and experimental RBE. A generic RBE model as a function of dose-averaged linear energy transfer (LETD) with 1 fitting parameter was presented and fit to the experimental RBE data as well to facilitate a comparison to the MKM. RESULTS Both the MKM and LETD-based models modeled the RBE from experiments well. Values for rd were similar to those of other cell lines under proton irradiation that were modeled with the MKM. Analysis of the performance of each model revealed that neither model was clearly superior to the other. CONCLUSIONS Our 3 key accomplishments include the following: (1) We developed a method that uses the proton energy spectra and lineal energy distributions of those protons to calculate dose-mean lineal energy. (2) We demonstrated that our application of the MKM provides theoretical validation of proton irradiation experiments that show that RBE is significantly greater than 1.1. (3) We showed that there is no clear evidence that the MKM is better than LETD-based RBE models.
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Affiliation(s)
- Mark Newpower
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas; Medical Physics Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas.
| | - Darshana Patel
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lawrence Bronk
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Fada Guan
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pankaj Chaudhary
- Centre for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Stephen J McMahon
- Centre for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Kevin M Prise
- Centre for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | - Giuseppe Schettino
- National Physical Laboratory, Hampton Road, Teddington, Middlesex, United Kingdom; University of Surrey, Department of Physics, Guilford, United Kingdom
| | - David R Grosshans
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Radhe Mohan
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
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47
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Henthorn NT, Warmenhoven JW, Sotiropoulos M, Aitkenhead AH, Smith EAK, Ingram SP, Kirkby NF, Chadwick A, Burnet NG, Mackay RI, Kirkby KJ, Merchant MJ. Clinically relevant nanodosimetric simulation of DNA damage complexity from photons and protons. RSC Adv 2019; 9:6845-6858. [PMID: 35518487 PMCID: PMC9061037 DOI: 10.1039/c8ra10168j] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 02/21/2019] [Indexed: 12/16/2022] Open
Abstract
Relative Biological Effectiveness (RBE), the ratio of doses between radiation modalities to produce the same biological endpoint, is a controversial and important topic in proton therapy. A number of phenomenological models incorporate variable RBE as a function of Linear Energy Transfer (LET), though a lack of mechanistic description limits their applicability. In this work we take a different approach, using a track structure model employing fundamental physics and chemistry to make predictions of proton and photon induced DNA damage, the first step in the mechanism of radiation-induced cell death. We apply this model to a proton therapy clinical case showing, for the first time, predictions of DNA damage on a patient treatment plan. Our model predictions are for an idealised cell and are applied to an ependymoma case, at this stage without any cell specific parameters. By comparing to similar predictions for photons, we present a voxel-wise RBE of DNA damage complexity. This RBE of damage complexity shows similar trends to the expected RBE for cell kill, implying that damage complexity is an important factor in DNA repair and therefore biological effect. Relative Biological Effectiveness (RBE) is a controversial and important topic in proton therapy. This work uses Monte Carlo simulations of DNA damage for protons and photons to probe this phenomenon, providing a plausible mechanistic understanding.![]()
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Affiliation(s)
- N. T. Henthorn
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - J. W. Warmenhoven
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - M. Sotiropoulos
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - A. H. Aitkenhead
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - E. A. K. Smith
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - S. P. Ingram
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - N. F. Kirkby
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - A. L. Chadwick
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - N. G. Burnet
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - R. I. Mackay
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - K. J. Kirkby
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
| | - M. J. Merchant
- Division of Cancer Sciences
- School of Medical Sciences
- Faculty of Biology, Medicine and Health
- The University of Manchester
- UK
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48
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Czub J, Banaś D, Braziewicz J, Buraczewska I, Jaskóła M, Kaźmierczak U, Korman A, Lankoff A, Lisowska H, Szefliński Z, Wojewódzka M, Wójcik A. Biological effects of mixed-ion beams. Part 2: The relative biological effectiveness of CHO-K1 cells irradiated by mixed- and single-ion beams. Appl Radiat Isot 2018; 150:192-198. [PMID: 30553541 DOI: 10.1016/j.apradiso.2018.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 12/02/2018] [Accepted: 12/02/2018] [Indexed: 10/27/2022]
Abstract
The relative biological effectiveness (RBE) values were determined for single- and mixed-ion beams containing carbon and oxygen ions. The CHO-K1 cells were irradiated with beams with the linear energy transfer (LET) values of 236-300 and 461-470 keV/μm for 12C and 16O ions, respectively. The RBE was estimated as a function of dose, survival fraction (SF) and LET. The SF was not affected by varying contributions of the constituent ions to the total mixed dose. The RBE has the same value for single-ion exposures with ions with LET 300 (12C) and 470 keV/μm (16O).
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Affiliation(s)
- Joanna Czub
- Jan Kochanowski University, Institute of Physics, ul. Świętokrzyska 15, 25-406 Kielce, Poland.
| | - Dariusz Banaś
- Jan Kochanowski University, Institute of Physics, ul. Świętokrzyska 15, 25-406 Kielce, Poland; Holy Cross Cancer Center, ul. Arwińskiego 3, 25-734 Kielce, Poland
| | - Janusz Braziewicz
- Jan Kochanowski University, Institute of Physics, ul. Świętokrzyska 15, 25-406 Kielce, Poland; Holy Cross Cancer Center, ul. Arwińskiego 3, 25-734 Kielce, Poland
| | - Iwona Buraczewska
- Institute of Nuclear Chemistry and Technology, ul. Dorodna 16, 03-195 Warsaw, Poland
| | - Marian Jaskóła
- National Centre for Nuclear Research, ul. Andrzeja Sołtana 7, 05-400 Otwock-Świerk, Poland
| | - Urszula Kaźmierczak
- Heavy Ion Laboratory at the University of Warsaw, ul. Pasteura 5a, 02-093 Warsaw, Poland
| | - Andrzej Korman
- National Centre for Nuclear Research, ul. Andrzeja Sołtana 7, 05-400 Otwock-Świerk, Poland
| | - Anna Lankoff
- Jan Kochanowski University, Institute of Biology, ul. Świętokrzyska 15, 25-406 Kielce, Poland; Institute of Nuclear Chemistry and Technology, ul. Dorodna 16, 03-195 Warsaw, Poland
| | - Halina Lisowska
- Jan Kochanowski University, Institute of Biology, ul. Świętokrzyska 15, 25-406 Kielce, Poland
| | - Zygmunt Szefliński
- Heavy Ion Laboratory at the University of Warsaw, ul. Pasteura 5a, 02-093 Warsaw, Poland
| | - Maria Wojewódzka
- Institute of Nuclear Chemistry and Technology, ul. Dorodna 16, 03-195 Warsaw, Poland
| | - Andrzej Wójcik
- Department of Molecular Bioscience, Centre for Radiation Protection Research, The Wenner-Gren Institute, Stockholm University, Universitetsvagen 10, 114 18 Stockholm, Sweden; Jan Kochanowski University, Institute of Biology, ul. Świętokrzyska 15, 25-406 Kielce, Poland
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49
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Schuemann J, Bassler N, Inaniwa T. Computational models and tools. Med Phys 2018; 45:e1073-e1085. [PMID: 30421814 DOI: 10.1002/mp.12521] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 06/21/2017] [Accepted: 08/01/2017] [Indexed: 12/12/2022] Open
Abstract
In this chapter, we describe two different methods, analytical (pencil beam) algorithms and Monte Carlo simulations, used to obtain the intended dose distributions in patients and evaluate their strengths and shortcomings. We discuss the difference between the prescribed physical dose and the biologically effective dose, the relative biological effectiveness (RBE) between ions and photons and the dependence of RBE on the linear energy transfer (LET). Lastly, we show how LET- or RBE-based optimization can be used to improve treatment plans and explore how the availability of multimodality ion beam facilities can be used to design a tumor-specific optimal treatment.
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Affiliation(s)
- Jan Schuemann
- Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Niels Bassler
- Medical Radiation Physics, Dept. of Physics, Stockholm University, Sweden
| | - Taku Inaniwa
- Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST, Chiba, Japan
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50
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Dahle TJ, Magro G, Ytre-Hauge KS, Stokkevåg CH, Choi K, Mairani A. Sensitivity study of the microdosimetric kinetic model parameters for carbon ion radiotherapy. Phys Med Biol 2018; 63:225016. [PMID: 30418940 DOI: 10.1088/1361-6560/aae8b4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In carbon ion therapy treatment planning, the relative biological effectiveness (RBE) is accounted for by optimization of the RBE-weighted dose (biological dose). The RBE calculation methods currently applied clinically in carbon ion therapy are derived from the microdosimetric kinetic model (MKM) in Japan and the local effect model (LEM) in Europe. The input parameters of these models are based on fit to experimental data subjected to uncertainties. We therefore performed a sensitivity study of the MKM input parameters, i.e. the domain radius (r d ), the nucleus radius (R n ) and the parameters of the linear quadratic (LQ) model (α x and β). The study was performed with the FLUKA Monte Carlo code, using spread out Bragg peak (SOBP) scenarios in water and a biological dose distribution in a clinical patient case. Comparisons were done between biological doses estimated applying the MKM with parameters based on HSG cells, and with HSG parameters varied separately by ±{5, 25, 50}%. Comparisons were also done between parameter sets from different cell lines (HSG, V79, CHO and T1), as well as versions of the LEM. Of the parameters, r d had the largest impact on the biological dose distribution, especially on the absolute dose values. Increasing this parameter by 25% decreased the biological dose level at the center of a 3 Gy(RBE) SOBP by 14%. Variations in R n only influenced the biological dose distribution towards the particle range, and variations in α x resulted in minor changes in the biological dose, with an increasing impact towards the particle range. β had the overall smallest influence on the SOBPs, but the impact could become more pronounced if alternative (LET dependent) implementations are used. The resulting percentage change in the SOBPs was generally less than the percentage change in the parameters. The patient case showed similar effects as with the SOBPs in water, and parameter variations had similar impact on the biological dose when using the clinical MKM and the general MKM. The clinical LEM calculated the highest biological doses to both tumor and surrounding healthy tissues, with a median target dose (D 50%) of 40.5 Gy(RBE), while the MKM with HSG and V79 parameters resulted in a D 50% of 34.2 and 36.9 Gy(RBE), respectively. In all, the observed change in biological dose distribution due to parameter variations demonstrates the importance of accurate input parameters when applying the MKM in treatment planning.
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Affiliation(s)
- T J Dahle
- Department of Physics and Technology, University of Bergen, NO-5020 Bergen, Norway
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