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Suárez-García D, Cortés-Giraldo MA, Bertolet A. A systematic analysis of the particle irradiation data ensemble in the key of the microdosimetric kinetic model: Should clonogenic data be used for clinical relative biological effectiveness? Radiother Oncol 2023; 185:109730. [PMID: 37301260 PMCID: PMC10528084 DOI: 10.1016/j.radonc.2023.109730] [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: 12/01/2022] [Revised: 05/20/2023] [Accepted: 05/31/2023] [Indexed: 06/12/2023]
Abstract
PURPOSE To perform a systematic analysis of the Particle Irradiation Data Ensemble (PIDE) database for clonogenic survival assays in the context of the Microdosimetric Kinetic Model (MKM). METHODS AND MATERIAL Our study used data from the PIDE database containing data on various cell lines and radiation types. Two main parameters of the MKM were determined experiment-wise: the domain radius, which accounts for the increase of the linear parameter as a function of LET or lineal energy, and the nucleus radius, which accounts for the overkilling effect at LET high enough. We used experiments with LET less and more than 75 keV/μm to determine domain and nucleus radius, respectively. Experiments with cells in asynchronous phase of the cell cycle and monoenergetic beams were considered, and data from 294 out of 461 available experiments with protons, alpha, and carbon beams were used. RESULTS Domain and nucleus radii were determined for 32 cell lines as the median among cell-specific experiments after filtering experiments using protons, α-particles, and carbon ions, including 28 human cells and 12 rodent cells. The median values found for domain radii were 380 nm for normal human cells, 390 nm for tumor human cells, 295 nm for normal rodent cells, and 525 nm for tumor rodent cells (only one experiment with rodent tumor cells) with large variability across cell lines and across experiments on each cell line. CONCLUSIONS Large inter-experiment variabilities were found for the same cell lines, based on enormous experimental uncertainties and different experimental conditions. Our analysis raises questions about how convenient is to use clonogenic data to feed RBE models to be utilized in the clinical practice in particle therapy.
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Affiliation(s)
- Daniel Suárez-García
- Departamento de Física Nuclear, Atómica y Molecular, Universidad de Sevilla, Sevilla, Spain
| | | | - Alejandro Bertolet
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Schuppert C, Paul A, Nill S, Schwahofer A, Debus J, Sterzing F. A treatment planning study of combined carbon ion-beam plus photon intensity-modulated radiotherapy. Phys Imaging Radiat Oncol 2020; 15:16-22. [PMID: 33458321 PMCID: PMC7807875 DOI: 10.1016/j.phro.2020.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 06/29/2020] [Accepted: 06/29/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Combined photon intensity-modulated radiotherapy (IMRT) and sequential dose-escalated carbon ion beam therapy (IBT) is a technically advanced treatment option for head and neck malignancies. We proposed and evaluated an integrated planning strategy as opposed to an established and largely separated planning workflow. MATERIALS AND METHODS Ten patients with representative malignancies of the head and neck region underwent combined carbon-photon radiotherapy (RT) in our facilities. Clinical plans were created according to the separated workflow with independent optimization stages for both modalities. Experimental plans incorporated the existing carbon IBT dose distribution into the optimization stage of a step-and-shoot photon IMRT (bias dose planning). RESULTS Cumulative dose distributions showed statistically significant differences between the two planning strategies and were predominantly in favor of the integrated approach. As such, target irradiation was generally maintained or even improved in a subset of metrics, while normal tissue sparing was widely enhanced; for instance, in the ipsilateral temporal lobe with median Dmean of -16% (p < 0.001). Maximum doses D1% (with adjustment for different fractionation) fell below thresholds for toxicity risk in a minority of instances, where they were previously exceeded. Integral dose did not differ significantly. CONCLUSIONS Our findings indicate that combination planning of carbon-photon RT for head and neck malignancies may benefit from a proposed bias dose method, yielding favorable dose distribution characteristics and a streamlined planning workflow with fewer plan revisions. Further research is necessary to validate these observations in terms of robustness and their potential for higher tumor control.
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Affiliation(s)
- Christopher Schuppert
- Department of Radiation Oncology and Radiation Therapy, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| | - Angela Paul
- Department of Radiation Oncology and Radiation Therapy, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| | - Simeon Nill
- Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London SM2 5PT, United Kingdom
| | - Andrea Schwahofer
- Department of Medical Physics in Radiation Oncology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology and Radiation Therapy, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| | - Florian Sterzing
- Department of Radiation Oncology and Radiation Therapy, University Hospital Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
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Monini C, Alphonse G, Rodriguez-Lafrasse C, Testa É, Beuve M. Comparison of biophysical models with experimental data for three cell lines in response to irradiation with monoenergetic ions. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2019; 12:17-21. [PMID: 33458290 PMCID: PMC7807531 DOI: 10.1016/j.phro.2019.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 10/31/2019] [Accepted: 10/31/2019] [Indexed: 10/29/2022]
Abstract
The relative biological effectiveness (RBE) in particle therapy is currently estimated using biophysical models. We compared experimental measurements to the α curves as function of linear energy transfer computed by the Local Effect Model (LEM I-IV), the Microdosimetric Kinetic Model (MKM) and the NanOx model for HSG, V79 and CHO-K1 cells in response to monoenergetic irradiations. Although the LEM IV and the MKM predictions accurately reproduced the trend observed in the data, NanOx yielded a better agreement than the other models for more irradiation configurations. Its χ 2 estimator was indeed the lowest for three over seven considered cases.
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Affiliation(s)
- Caterina Monini
- Univ. Lyon, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622 Villeurbanne, France
| | - Gersende Alphonse
- Univ. Lyon, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622 Villeurbanne, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, Faculté de Médecine Lyon-Sud, 69921 Oullins Cedex, France.,Hospices Civils de Lyon, Service de Biochimie, Centre Hospitalier Lyon-Sud, 69495 Pierre-Bénite, France
| | - Claire Rodriguez-Lafrasse
- Univ. Lyon, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622 Villeurbanne, France.,Laboratoire de Radiobiologie Cellulaire et Moléculaire, Faculté de Médecine Lyon-Sud, 69921 Oullins Cedex, France.,Hospices Civils de Lyon, Service de Biochimie, Centre Hospitalier Lyon-Sud, 69495 Pierre-Bénite, France
| | - Étienne Testa
- Univ. Lyon, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622 Villeurbanne, France
| | - Michaël Beuve
- Univ. Lyon, Univ. Claude Bernard Lyon 1, CNRS/IN2P3, IP2I Lyon, F-69622 Villeurbanne, France
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Study of the Influence of NanOx Parameters. Cancers (Basel) 2018; 10:cancers10040087. [PMID: 29561819 PMCID: PMC5923342 DOI: 10.3390/cancers10040087] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/07/2018] [Accepted: 03/16/2018] [Indexed: 11/17/2022] Open
Abstract
NanOx is a new biophysical model that aims at predicting the biological effect of ions in the context of hadron therapy. It integrates the fully-stochastic nature of ionizing radiation both at micrometric and nanometric scales and also takes into account the production and diffusion of reactive chemical species. In order to further characterize the new framework, we discuss the meaning and relevance of most of the NanOx parameters by evaluating their influence on the linear-quadratic coefficient α and on the dose deposited to achieve 10% or 1% of cell survival, D10% or D1%, as a function of LET. We perform a theoretical study in which variations in the input parameters are propagated into the model predictions for HSG, V79 and CHO-K1 cells irradiated by monoenergetic protons and carbon ions. We conclude that, in the current version of NanOx, the modeling of a specific cell line relies on five parameters, which have to be adjusted to several experimental measurements: the average cellular nuclear radius, the linear-quadratic coefficients describing photon irradiations and the α values associated with two carbon ions of intermediate and high-LET values. This may have interesting implications toward a clinical application of the new biophysical model.
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Cunha M, Monini C, Testa E, Beuve M. NanOx, a new model to predict cell survival in the context of particle therapy. Phys Med Biol 2016; 62:1248-1268. [PMID: 27995904 DOI: 10.1088/1361-6560/aa54c9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Particle therapy is increasingly attractive for the treatment of tumors and the number of facilities offering it is rising worldwide. Due to the well-known enhanced effectiveness of ions, it is of utmost importance to plan treatments with great care to ensure tumor killing and healthy tissues sparing. Hence, the accurate quantification of the relative biological effectiveness (RBE) of ions, used in the calculation of the biological dose, is critical. Nevertheless, the RBE is a complex function of many parameters and its determination requires modeling. The approaches currently used have allowed particle therapy to thrive, but still show some shortcomings. We present herein a short description of a new theoretical framework, NanOx, to calculate cell survival in the context of particle therapy. It gathers principles from existing approaches, while addressing some of their weaknesses. NanOx is a multiscale model that takes the stochastic nature of radiation at nanometric and micrometric scales fully into account, integrating also the chemical aspects of radiation-matter interaction. The latter are included in the model by means of a chemical specific energy, determined from the production of reactive chemical species induced by irradiation. Such a production represents the accumulation of oxidative stress and sublethal damage in the cell, potentially generating non-local lethal events in NanOx. The complementary local lethal events occur in a very localized region and can, alone, lead to cell death. Both these classes of events contribute to cell death. The comparison between experimental data and model predictions for the V79 cell line show a good agreement. In particular, the dependence of the typical shoulders of cell survival curves on linear energy transfer are well described, but also the effectiveness of different ions, including the overkill effect. These results required the adjustment of a number of parameters compatible with the application of the model in a clinical scenario thereby showing the potential of NanOx. Said parameters are discussed in detail in this paper.
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Affiliation(s)
- M Cunha
- Université de Lyon, F-69622, Lyon, France. Université de Lyon 1, Villeurbanne, France. CNRS/IN2P3, Institut de Physique Nucléaire de Lyon, France
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Durante M, Paganetti H. Nuclear physics in particle therapy: a review. REPORTS ON PROGRESS IN PHYSICS. PHYSICAL SOCIETY (GREAT BRITAIN) 2016; 79:096702. [PMID: 27540827 DOI: 10.1088/0034-4885/79/9/096702] [Citation(s) in RCA: 142] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Charged particle therapy has been largely driven and influenced by nuclear physics. The increase in energy deposition density along the ion path in the body allows reducing the dose to normal tissues during radiotherapy compared to photons. Clinical results of particle therapy support the physical rationale for this treatment, but the method remains controversial because of the high cost and of the lack of comparative clinical trials proving the benefit compared to x-rays. Research in applied nuclear physics, including nuclear interactions, dosimetry, image guidance, range verification, novel accelerators and beam delivery technologies, can significantly improve the clinical outcome in particle therapy. Measurements of fragmentation cross-sections, including those for the production of positron-emitting fragments, and attenuation curves are needed for tuning Monte Carlo codes, whose use in clinical environments is rapidly increasing thanks to fast calculation methods. Existing cross sections and codes are indeed not very accurate in the energy and target regions of interest for particle therapy. These measurements are especially urgent for new ions to be used in therapy, such as helium. Furthermore, nuclear physics hardware developments are frequently finding applications in ion therapy due to similar requirements concerning sensors and real-time data processing. In this review we will briefly describe the physics bases, and concentrate on the open issues.
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Affiliation(s)
- Marco Durante
- Trento Institute for Fundamental Physics and Applications (TIFPA), National Institute of Nuclear Physics (INFN), University of Trento, Via Sommarive 14, 38123 Povo (TN), Italy. Department of Physics, University Federico II, Naples, Italy
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Cunha M, Testa E, Komova OV, Nasonova EA, Mel'nikova LA, Shmakova NL, Beuve M. Modeling cell response to low doses of photon irradiation--Part 1: on the origin of fluctuations. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2016; 55:19-30. [PMID: 26590033 DOI: 10.1007/s00411-015-0621-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 10/11/2015] [Indexed: 06/05/2023]
Abstract
Intra- and inter-individual variability is a well-known aspect of biological responses of cells observed at low doses of radiation, whichever the phenomenon considered (adaptive response, bystander effects, genomic instability, etc.). There is growing evidence that low-dose phenomena are related to cell mechanisms other than DNA damage and misrepair, meaning that other cellular structures may play a crucial role. Therefore, in this study, a series of calculations at low doses was carried out to study the distribution of specific energies from different irradiation doses (3, 10 and 30 cGy) in targets of different sizes (0.1, 1 and 10 μm) corresponding to the dimensions of different cell structures. The results obtained show a strong dependence of the probability distributions of specific energies on the target size: targets with dimensions comparable to those of the cell show a Gaussian-like distribution, whereas very small targets are very likely to not be hit. A statistical analysis showed that the level of fluctuations in the fraction of aberrant cells is only related to the fraction of aberrant cells and the number of irradiated cells, regardless of, for instance, the heterogeneity in cell response.
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Affiliation(s)
- Micaela Cunha
- Université de Lyon, 69622, Lyon, France
- Université de Lyon 1, Villeurbanne, France
- CNRS/IN2P3, Institut de Physique Nucléaire de Lyon, Villeurbanne, France
| | - Etienne Testa
- Université de Lyon, 69622, Lyon, France
- Université de Lyon 1, Villeurbanne, France
- CNRS/IN2P3, Institut de Physique Nucléaire de Lyon, Villeurbanne, France
| | - Olga V Komova
- Laboratory of Radiation Biology, Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - Elena A Nasonova
- Laboratory of Radiation Biology, Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - Larisa A Mel'nikova
- Laboratory of Radiation Biology, Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - Nina L Shmakova
- Laboratory of Radiation Biology, Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - Michaël Beuve
- Université de Lyon, 69622, Lyon, France.
- Université de Lyon 1, Villeurbanne, France.
- CNRS/IN2P3, Institut de Physique Nucléaire de Lyon, Villeurbanne, France.
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Zygmanski P, Sajo E. Nanoscale radiation transport and clinical beam modeling for gold nanoparticle dose enhanced radiotherapy (GNPT) using X-rays. Br J Radiol 2015; 89:20150200. [PMID: 26642305 PMCID: PMC4986475 DOI: 10.1259/bjr.20150200] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Revised: 11/17/2015] [Accepted: 12/01/2015] [Indexed: 11/05/2022] Open
Abstract
We review radiation transport and clinical beam modelling for gold nanoparticle dose-enhanced radiotherapy using X-rays. We focus on the nanoscale radiation transport and its relation to macroscopic dosimetry for monoenergetic and clinical beams. Among other aspects, we discuss Monte Carlo and deterministic methods and their applications to predicting dose enhancement using various metrics.
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Affiliation(s)
- Piotr Zygmanski
- Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA, USA
| | - Erno Sajo
- Department of Physics and Applied Physics, University of Massachusetts Lowell, Medical Physics Program, Lowell, MA, USA
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Chaikh A, Beuve M, Balosso J. Nanotechnology in radiation oncology: The need for implantable nano dosimeters for in-vivo real time measurements. INTERNATIONAL JOURNAL OF CANCER THERAPY AND ONCOLOGY 2015. [DOI: 10.14319/ijcto.32.17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Zygmanski P, Hoegele W, Tsiamas P, Cifter F, Ngwa W, Berbeco R, Makrigiorgos M, Sajo E. A stochastic model of cell survival for high-Z nanoparticle radiotherapy. Med Phys 2013; 40:024102. [DOI: 10.1118/1.4773885] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Bichsel H. Stochastics of Energy Loss and Biological Effects of Heavy Ions in Radiation Therapy. ADVANCES IN QUANTUM CHEMISTRY 2013. [DOI: 10.1016/b978-0-12-396455-7.00001-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Elsässer T, Scholz M. Comments on “Formalization and Theoretical Analysis of the Local Effect Model” by Beuve ( Radiat. Res.172, 394–402, 2009). Radiat Res 2010; 173:855-6; author reply 856-8. [DOI: 10.1667/rr2089.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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