Literature DB >> 30281330

The potential impact of ultrathin filter design on dosimetry and relative biological effectiveness in modern image-guided small animal irradiators.

Yannick Poirier1,2, Christopher Daniel Johnstone1,3, Charles Kirkby4,5,6.   

Abstract

OBJECTIVE: : Modern image-guided small animal irradiators like the Xstrahl Small Animal Radiation Research Platform (SARRP) are designed with ultrathin 0.15 mm Cu filters, which compared with more heavily filtrated traditional cabinet-style biological irradiators, produce X-ray spectra weighted toward lower energies, impacting the dosimetric properties and the relative biological effectiveness (RBE). This study quantifies the effect of ultrathin filter design on relative depth dose profiles, absolute dose output, and RBE using Monte Carlo techniques.
METHODS: : The percent depth-dose and absolute dose output are calculated using kVDoseCalc and EGSnrc, respectively, while a tally based on the induction of double-strand breaks as a function of electron spectra invoked in PENELOPE is used to estimate the RBE.
RESULTS: : The RBE increases by >2.4% in the ultrathin filter design compared to a traditional irradiator. Furthermore, minute variations in filter thickness have notable effects on the dosimetric properties of the X-ray beam, increasing the percent depth dose (at 2 cm in water) by + 0.4%/0.01 mm Cu and decreasing absolute dose (at 2 cm depth in water) by -1.8%/0.01 mm Cu for the SARRP.
CONCLUSIONS: : These results show that modern image-guided irradiators are quite sensitive to small manufacturing variations in filter thickness, and show a small change in RBE compared to traditional X-ray irradiators. ADVANCES IN KNOWLEDGE:: We quantify the consequences of ultrathin filter design in modern image-guided biological irradiators on relative and absolute dose, and RBE. Our results show these to be small, but not insignificant, suggesting laboratories transitioning between irradiators should carefully design their radiobiological experiments.

Entities:  

Mesh:

Year:  2018        PMID: 30281330      PMCID: PMC6541192          DOI: 10.1259/bjr.20180537

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  38 in total

1.  Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version.

Authors:  I Kawrakow
Journal:  Med Phys       Date:  2000-03       Impact factor: 4.071

2.  AAPM protocol for 40-300 kV x-ray beam dosimetry in radiotherapy and radiobiology.

Authors:  C M Ma; C W Coffey; L A DeWerd; C Liu; R Nath; S M Seltzer; J P Seuntjens
Journal:  Med Phys       Date:  2001-06       Impact factor: 4.071

3.  Absolute dose calculations for Monte Carlo simulations of radiotherapy beams.

Authors:  I A Popescu; C P Shaw; S F Zavgorodni; W A Beckham
Journal:  Phys Med Biol       Date:  2005-07-06       Impact factor: 3.609

4.  Fast Monte Carlo simulation of DNA damage formed by electrons and light ions.

Authors:  V A Semenenko; R D Stewart
Journal:  Phys Med Biol       Date:  2006-03-07       Impact factor: 3.609

5.  The small-animal radiation research platform (SARRP): dosimetry of a focused lens system.

Authors:  Hua Deng; Christopher W Kennedy; Elwood Armour; Erik Tryggestad; Eric Ford; Todd McNutt; Licai Jiang; John Wong
Journal:  Phys Med Biol       Date:  2007-04-26       Impact factor: 3.609

6.  Monte Carlo simulation of DNA damage induction by x-rays and selected radioisotopes.

Authors:  Y Hsiao; R D Stewart
Journal:  Phys Med Biol       Date:  2007-12-19       Impact factor: 3.609

7.  Combined use of Monte Carlo DNA damage simulations and deterministic repair models to examine putative mechanisms of cell killing.

Authors:  David J Carlson; Robert D Stewart; Vladimir A Semenenko; George A Sandison
Journal:  Radiat Res       Date:  2008-04       Impact factor: 2.841

8.  High-resolution, small animal radiation research platform with x-ray tomographic guidance capabilities.

Authors:  John Wong; Elwood Armour; Peter Kazanzides; Iulian Iordachita; Erik Tryggestad; Hua Deng; Mohammad Matinfar; Christopher Kennedy; Zejian Liu; Timothy Chan; Owen Gray; Frank Verhaegen; Todd McNutt; Eric Ford; Theodore L DeWeese
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-08-01       Impact factor: 7.038

9.  A fast Monte Carlo algorithm to simulate the spectrum of DNA damages formed by ionizing radiation.

Authors:  V A Semenenko; R D Stewart
Journal:  Radiat Res       Date:  2004-04       Impact factor: 2.841

Review 10.  The variation in biological effectiveness of X-rays and gamma rays with energy.

Authors:  M A Hill
Journal:  Radiat Prot Dosimetry       Date:  2004       Impact factor: 0.972

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