A Mechanism-Based Approach to Predict the Relative Biological Effectiveness of Protons and Carbon Ions in Radiation Therapy

Frese, Malte C.; Yu, Victor K.; Stewart, Robert D.; Carlson, David J.

doi:10.1016/j.ijrobp.2011.06.1983

Cited by 120 publications

(161 citation statements)

References 23 publications

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“…Furthermore, RBE value on the proximal corner is influenced by both the beam energy and the value of SOBP modulation. Our findings are consistent with predictions of other models of calculating RBE-weighted dose [26].…”

Section: Discussionsupporting

confidence: 92%

“…Ionization track structures and microdosimetric energy spectra of protons at various depths are typically analyzed to convert LET [26]- [30] of individual protons into an RBE value [13] [31] [32], of a therapeutic beam. We propose a simple method that allows one to determine the dose averaged LET value at each point along the measured Bragg peak.…”

Section: Methodsmentioning

confidence: 99%

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Biological Dose Estimation Model for Proton Beam Therapy

Anferov¹,

Das²

2015

IJMPCERO

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Purpose: The recommended value for the relative biological effectiveness (RBE) of proton beams is currently assumed to be 1.1. However, there is increasing evidence that RBE increases towards the end of proton beam range that may increase the biological effect of proton beam in the distal regions of the dose deposition. Methods: A computational approach is presented for estimating the biological effect of the proton beam. It includes a method for calculating the dose averaged linear energy transfer (LET) along the measured Bragg peak and published LET to RBE conversion routine. To validate the proposed method, we have performed Monte Carlo simulations of the pristine Bragg peak at various beam energies and compared the analysis with the simulated results. A good agreement within 5% is observed between the LET analysis of the modeled Bragg peaks and Monte Carlo simulations. Results: Applying the method to the set of Bragg peaks measured at a proton therapy facility we have estimated LET and RBE values along each Bragg peak. Combining the individual RBE-weighted Bragg peaks with known energy modulation weights we have calculated the RBE-weighted dose in the modulated proton beam. The proposed computational method provides a tool for calculating dose averaged LET along the measured Bragg peak. Conclusions: Combined with a model to convert LET into RBE, this method enables calculation of RBE-weighted dose both in pristine Bragg peak and in modulated beam in proton therapy.

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Section: Discussionsupporting

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Biological Dose Estimation Model for Proton Beam Therapy

Anferov¹,

Das²

2015

IJMPCERO

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“…The ionisation cluster size distributions and the associated statistical parameters are measurable quantities [23][24][25][26][27] and could in the future − when practical instruments have been developed − be used in the clinic to characterise track structure and radiation quality of the treatment beam. In combination with a model predicting the radiobiological outcome − for example the RMF model that is linking double-strand break induction to reproductive cell death [28,29] − these parametrisations can be useful to achieve a higher accuracy for biological optimisation of treatment plans.…”

Section: Discussionmentioning

confidence: 99%

Energy dependent track structure parametrisations for protons and carbon ions based on nanometric simulations

et al. 2015

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Abstract. The BioQuaRT project within the European Metrology Research Programme aims at correlating ion track structure characteristics with the biological effects of radiation and develops measurement and simulation techniques for determining ion track structure on different length scales from about 2 nm to about 10 µm. Within this framework, we investigate methods to translate track-structure quantities derived on a nanometre scale to macroscopic dimensions. Input data sets were generated by simulations of ion tracks of protons and carbon ions in liquid water using the Geant 4 Monte Carlo toolkit with the Geant4-DNA processes. Based on the energy transfer points − recorded with nanometre resolution − we investigated parametrisations of overall properties of ion track structure. Three different track structure parametrisations have been developed using the distances to the 10 next neighbouring ionisations, the radial energy distribution and ionisation cluster size distributions. These parametrisations of nanometric track structure build a basis for deriving biologically relevant mean values which are essential in the clinical situation where each voxel is exposed to a mixed radiation field.

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“…Nonetheless, this work and the work of others 8,14,17,30,35 make it clear that although we have an excellent understanding of the dose deposition physics of charged particle irradiation, we do not have sufficient understanding of the biological responses to that energy absorption. Because it is the biological response that is driving the clinical prognosis, this uncertainty is quite compelling.…”

Section: Np4mentioning

confidence: 95%

“…Several published studies support this intuition that from the midpoint to the distal side of spread out Bragg peak (SOBP), the RBE increases to a maximum of as much as 3 just [10][11][12][13][14][15] beyond the distal dose falloff (DDF). The RBE value increases from 1.1 at the absorber entrance to as much as 1.6 at the midpoint of the SOBP 11 and to as much as 2.9 in the DDF.…”

Section: Introductionmentioning

confidence: 98%

Rapid RBE-Weighted Proton Radiation Dosimetry Risk Assessment

Qutub

Klein

Buchsbaum

2016

Technol Cancer Res Treat

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Proton therapy dose is affected by relative biological effectiveness differently than X-ray therapies. The current clinically accepted weighting factor is 1.1 at all positions along the depth-dose profile. However, the relative biological effectiveness correlates with the linear energy transfer, cell or tissue type, and the dose per fraction causing variation of relative biological effectiveness along the depth-dose profile. In this article, we present a simple relative biological effectiveness-weighted treatment planning risk assessment algorithm in 2-dimensions and compare the results with those derived using the standard relative biological effectiveness of 1.1. The isodose distribution profiles for beams were accomplished using matrices that represent coplanar intersecting beams. These matrices were combined and contoured using MATLAB to achieve the distribution of dose. There are some important differences in dose distribution between the dose profiles resulting from the use of relative biological effectiveness ¼ 1.1 and the empirically derived depth-dependent values of relative biological effectiveness. Significant hot spots of up to twice the intended dose are indicated in some beam configurations. This simple and rapid risk analysis could quickly evaluate the safety of various dose delivery schema.

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A Mechanism-Based Approach to Predict the Relative Biological Effectiveness of Protons and Carbon Ions in Radiation Therapy

Cited by 120 publications

References 23 publications

Biological Dose Estimation Model for Proton Beam Therapy

Biological Dose Estimation Model for Proton Beam Therapy

Energy dependent track structure parametrisations for protons and carbon ions based on nanometric simulations

Rapid RBE-Weighted Proton Radiation Dosimetry Risk Assessment

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