Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool

Austin M. Faught, Scott E. Davidson, Jonas Fontenot, Stephen F. Kry, Carol Etzel, Geoffrey S. Ibbott, David S. Followill

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Purpose: The Imaging and Radiation Oncology Core Houston (IROC-H) (formerly the Radiological Physics Center) has reported varying levels of agreement in their anthropomorphic phantom audits. There is reason to believe one source of error in this observed disagreement is the accuracy of the dose calculation algorithms and heterogeneity corrections used. To audit this component of the radiotherapy treatment process, an independent dose calculation tool is needed. Methods: Monte Carlo multiple source models for Elekta 6 MV and 10 MV therapeutic x-ray beams were commissioned based on measurement of central axis depth dose data for a 10 × 10 cm2 field size and dose profiles for a 40 × 40 cm2 field size. The models were validated against open field measurements consisting of depth dose data and dose profiles for field sizes ranging from 3 × 3 cm2 to 30 × 30 cm2. The models were then benchmarked against measurements in IROC-H's anthropomorphic head and neck and lung phantoms. Results: Validation results showed 97.9% and 96.8% of depth dose data passed a ±2% Van Dyk criterion for 6 MV and 10 MV models respectively. Dose profile comparisons showed an average agreement using a ±2%/2 mm criterion of 98.0% and 99.0% for 6 MV and 10 MV models respectively. Phantom plan comparisons were evaluated using ±3%/2 mm gamma criterion, and averaged passing rates between Monte Carlo and measurements were 87.4% and 89.9% for 6 MV and 10 MV models respectively. Conclusions: Accurate multiple source models for Elekta 6 MV and 10 MV x-ray beams have been developed for inclusion in an independent dose calculation tool for use in clinical trial audits.

Original languageEnglish (US)
Pages (from-to)4943-4951
Number of pages9
JournalMedical Physics
Volume44
Issue number9
DOIs
StatePublished - Sep 1 2017

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X-Rays
Clinical Audit
Monte Carlo Method
Radiation Oncology
Physics
Research Design
Neck
Radiotherapy
Head
Clinical Trials
Lung
Therapeutics

Keywords

  • dose calculations
  • Monte Carlo
  • quality assurance
  • source model

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

Faught, A. M., Davidson, S. E., Fontenot, J., Kry, S. F., Etzel, C., Ibbott, G. S., & Followill, D. S. (2017). Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool. Medical Physics, 44(9), 4943-4951. https://doi.org/10.1002/mp.12426

Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool. / Faught, Austin M.; Davidson, Scott E.; Fontenot, Jonas; Kry, Stephen F.; Etzel, Carol; Ibbott, Geoffrey S.; Followill, David S.

In: Medical Physics, Vol. 44, No. 9, 01.09.2017, p. 4943-4951.

Research output: Contribution to journalArticle

Faught, AM, Davidson, SE, Fontenot, J, Kry, SF, Etzel, C, Ibbott, GS & Followill, DS 2017, 'Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool', Medical Physics, vol. 44, no. 9, pp. 4943-4951. https://doi.org/10.1002/mp.12426
Faught AM, Davidson SE, Fontenot J, Kry SF, Etzel C, Ibbott GS et al. Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool. Medical Physics. 2017 Sep 1;44(9):4943-4951. https://doi.org/10.1002/mp.12426
Faught, Austin M. ; Davidson, Scott E. ; Fontenot, Jonas ; Kry, Stephen F. ; Etzel, Carol ; Ibbott, Geoffrey S. ; Followill, David S. / Development of a Monte Carlo multiple source model for inclusion in a dose calculation auditing tool. In: Medical Physics. 2017 ; Vol. 44, No. 9. pp. 4943-4951.
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