Literature DB >> 28130821

A Monte Carlo approach to the microdosimetric kinetic model to account for dose rate time structure effects in ion beam therapy with application in treatment planning simulations.

Lorenzo Manganaro1,2, Germano Russo2, Roberto Cirio1,2, Federico Dalmasso1,2, Simona Giordanengo2, Vincenzo Monaco1,2, Silvia Muraro3, Roberto Sacchi1,2, Anna Vignati2, Andrea Attili2.   

Abstract

PURPOSE: Advanced ion beam therapeutic techniques, such as hypofractionation, respiratory gating, or laser-based pulsed beams, have dose rate time structures which are substantially different from those found in conventional approaches. The biological impact of the time structure is mediated through the β parameter in the linear quadratic (LQ) model. The aim of this study was to assess the impact of changes in the value of the β parameter on the treatment outcomes, also accounting for noninstantaneous intrafraction dose delivery or fractionation and comparing the effects of using different primary ions.
METHODS: An original formulation of the microdosimetric kinetic model (MKM) is used (named MCt-MKM), in which a Monte Carlo (MC) approach was introduced to account for the stochastic spatio-temporal correlations characteristic of the irradiations and the cellular repair kinetics. A modified version of the kinetic equations, validated on experimental cell survival in vitro data, was also introduced. The model, trained on the HSG cells, was used to evaluate the relative biological effectiveness (RBE) for treatments with acute and protracted fractions. Exemplary cases of prostate cancer irradiated with different ion beams were evaluated to assess the impact of the temporal effects.
RESULTS: The LQ parameters for a range of cell lines (V79, HSG, and T1) and ion species (H, He, C, and Ne) were evaluated and compared with the experimental data available in the literature, with good results. Notably, in contrast to the original MKM formulation, the MCt-MKM explicitly predicts an ion and LET-dependent β compatible with observations. The data from a split-dose experiment were used to experimentally determine the value of the parameter related to the cellular repair kinetics. Concerning the clinical case considered, an RBE decrease was observed, depending on the dose, ion, and LET, exceeding up to 3% of the acute value in the case of a protraction in the delivery of 10 min. The intercomparison between different ions shows that the clinical optimality is strongly dependent on a complex interplay between the different physical and biological quantities considered.
CONCLUSIONS: The present study provides a framework for exploiting the temporal effects of dose delivery. The results show the possibility of optimizing the treatment outcomes accounting for the correlation between the specific dose rate time structure and the spatial characteristic of the LET distribution, depending on the ion type used.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  zzm321990MKMzzm321990; dose-rate; particle therapy; radiobiology; repair kinetics

Mesh:

Year:  2017        PMID: 28130821     DOI: 10.1002/mp.12133

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  A new formalism for modelling parameters α and β of the linear-quadratic model of cell survival for hadron therapy.

Authors:  Oleg N Vassiliev; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-10-03       Impact factor: 3.609

2.  Impact of DNA Repair Kinetics and Dose Rate on RBE Predictions in the UNIVERSE.

Authors:  Hans Liew; Stewart Mein; Thomas Tessonnier; Christian P Karger; Amir Abdollahi; Jürgen Debus; Ivana Dokic; Andrea Mairani
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

3.  Generalized stochastic microdosimetric model: The main formulation.

Authors:  F Cordoni; M Missiaggia; A Attili; S M Welford; E Scifoni; C La Tessa
Journal:  Phys Rev E       Date:  2021-01       Impact factor: 2.529

4.  Investigation of dose-rate effects and cell-cycle distribution under protracted exposure to ionizing radiation for various dose-rates.

Authors:  Yusuke Matsuya; Stephen J McMahon; Kaori Tsutsumi; Kohei Sasaki; Go Okuyama; Yuji Yoshii; Ryosuke Mori; Joma Oikawa; Kevin M Prise; Hiroyuki Date
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

5.  Radiobiological effects of the interruption time with Monte Carlo Simulation on multiple fields in photon beams.

Authors:  Hisashi Nakano; Daisuke Kawahara; Satoshi Tanabe; Satoru Utsunomiya; Takeshi Takizawa; Madoka Sakai; Hirotake Saito; Atsushi Ohta; Motoki Kaidu; Hiroyuki Ishikawa
Journal:  J Appl Clin Med Phys       Date:  2020-12-03       Impact factor: 2.102

6.  Estimate of the Biological Dose in Hadrontherapy Using GATE.

Authors:  Yasmine Ali; Caterina Monini; Etienne Russeil; Jean Michel Létang; Etienne Testa; Lydia Maigne; Michael Beuve
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

  6 in total

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