Literature DB >> 33100611

Experimental validation of an analytical microdosimetric model based on Geant4-DNA simulations by using a silicon-based microdosimeter.

A Bertolet1,2, V Grilj3, C Guardiola4, A D Harken3, M A Cortés-Giraldo2, A Baratto-Roldán2, A Carabe1.   

Abstract

PURPOSE: To study the agreement between proton microdosimetric distributions measured with a silicon-based cylindrical microdosimeter and a previously published analytical microdosimetric model based on Geant4-DNA in-water Monte Carlo simulations for low energy proton beams. METHODS AND MATERIAL: Distributions for lineal energy (y) are measured for four proton monoenergetic beams with nominal energies from 2.0 MeV to 4.5 MeV, with a tissue equivalent proportional counter (TEPC) and a silicon-based microdosimeter. The actual energy for protons traversing the silicon-based microdosimeter is simulated with SRIM. Monoenergetic beams with these energies are simulated with Geant4-DNA code by simulating a water cylinder site of dimensions equal to those of the microdosimeter. The microdosimeter response is calibrated by using the distribution peaks obtained from the TEPC. Analytical calculations for y ¯ F and y ¯ D using our methodology based on spherical sites are also performed choosing the equivalent sphere to be checked against experimental results.
RESULTS: Distributions for y at silicon are converted into tissue equivalent and compared to the Geant4-DNA simulated, yielding maximum deviations of 1.03% for y ¯ F and 1.17% for y ¯ D . Our analytical method generates maximum deviations of 1.29% and 3.33%, respectively, with respect to experimental results.
CONCLUSION: Simulations in Geant4-DNA with ideal cylindrical sites in liquid water produce similar results to the measurements in an actual silicon-based cylindrical microdosimeter properly calibrated. The found agreement suggests the possibility to experimentally verify the calculated clinical y ¯ D with our analytical method.

Entities:  

Keywords:  Geant4-DNA; TEPC; lineal energy; microdosimetry; proton therapy; silicon detector

Year:  2020        PMID: 33100611      PMCID: PMC7583143          DOI: 10.1016/j.radphyschem.2020.109060

Source DB:  PubMed          Journal:  Radiat Phys Chem Oxf Engl 1993        ISSN: 0969-806X            Impact factor:   2.858


  34 in total

1.  Concepts of microdosimetry. I. Quantities.

Authors:  A M Kellerer; D Chmelevsky
Journal:  Radiat Environ Biophys       Date:  1975-06-13       Impact factor: 1.925

2.  Effects of radiation quality and oxygen on clustered DNA lesions and cell death.

Authors:  Robert D Stewart; Victor K Yu; Alexandros G Georgakilas; Constantinos Koumenis; Joo Han Park; David J Carlson
Journal:  Radiat Res       Date:  2011-08-08       Impact factor: 2.841

3.  Empirical model estimation of relative biological effectiveness for proton beam therapy.

Authors:  Y Chen; S Ahmad
Journal:  Radiat Prot Dosimetry       Date:  2011-05-18       Impact factor: 0.972

4.  Computation of microdosimetric distributions for small sites.

Authors:  D Chmelevsky; A M Kellerer
Journal:  Radiat Environ Biophys       Date:  1977-07-29       Impact factor: 1.925

5.  Radiobiological intercomparison of the 160 MeV and 230 MeV proton therapy beams at the Harvard Cyclotron Laboratory and at Massachusetts General Hospital.

Authors:  Bradly G Wouters; Lloyd D Skarsgard; Leo E Gerweck; Alejandro Carabe-Fernandez; Michelle Wong; Ralph E Durand; Deanna Nielson; Marc R Bussiere; Miles Wagner; Peter Biggs; Harald Paganetti; Herman D Suit
Journal:  Radiat Res       Date:  2015-01-14       Impact factor: 2.841

6.  Linear energy transfer painting with proton therapy: a means of reducing radiation doses with equivalent clinical effectiveness.

Authors:  Marcus Fager; Iuliana Toma-Dasu; Maura Kirk; Derek Dolney; Eric S Diffenderfer; Neha Vapiwala; Alejandro Carabe
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-01       Impact factor: 7.038

7.  Dose-averaged LET calculation for proton track segments using microdosimetric Monte Carlo simulations.

Authors:  A Bertolet; A Baratto-Roldán; S Barbieri; G Baiocco; A Carabe; M A Cortés-Giraldo
Journal:  Med Phys       Date:  2019-07-12       Impact factor: 4.071

8.  Segment-averaged LET concept and analytical calculation from microdosimetric quantities in proton radiation therapy.

Authors:  A Bertolet; A Baratto-Roldán; M A Cortés-Giraldo; A Carabe-Fernandez
Journal:  Med Phys       Date:  2019-07-20       Impact factor: 4.071

9.  MultiRBE: Treatment planning for protons with selective radiobiological effectiveness.

Authors:  Daniel Sánchez-Parcerisa; Miguel López-Aguirre; Ana Dolcet Llerena; José Manuel Udías
Journal:  Med Phys       Date:  2019-07-31       Impact factor: 4.071

10.  Clinical evidence of variable proton biological effectiveness in pediatric patients treated for ependymoma.

Authors:  Christopher R Peeler; Dragan Mirkovic; Uwe Titt; Pierre Blanchard; Jillian R Gunther; Anita Mahajan; Radhe Mohan; David R Grosshans
Journal:  Radiother Oncol       Date:  2016-11-16       Impact factor: 6.280

View more
  1 in total

1.  Microdosimetry performance of the first multi-arrays of 3D-cylindrical microdetectors.

Authors:  Diana Bachiller-Perea; Mingming Zhang; Celeste Fleta; David Quirion; Daniela Bassignana; Faustino Gómez; Consuelo Guardiola
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.