skip to main content

SciTech ConnectSciTech Connect

Title: TH-A-19A-02: Expanding TOPAS Towards Biological Modeling

Purpose: To expand Monte Carlo simulations of TOPAS to directly calculate radiobiological effects using various biological models. Methods: We use the TOPAS toolkit version beta9 and expand the provided scoring system to directly include scorers for relative biological effect (RBE) modeling. A scorer is a class to record a given physical property in the Monte Carlo simulations. We developed a scorer for the dose averaged linear energy transfer (LETd). This scorer was used to compare RBE weighted dose distributions assuming a constant RBE of 1.1 with the RBE weighted dose using a variable RBE based on a model using LETd and dose as input. Additionally, the local effect model (LEM) was implemented in TOPAS to estimate RBE weighted dose distributions. Survival curves for the LEM were simulated for a monoenergetic proton beams impinging on phantoms and for full patient treatment plans. Results: We have implemented radiobiological effect models in TOPAS, providing users with the possibility to directly obtain parameters related to radiobiological dose and use those as additional information to assess the quality of treatment plans. We applied the scorers to clinical patient treatments and phantom simulations. We find that for the proton therapy plans investigated the regions with themore » highest LETd are generally outside of the target volume, coinciding with the distal edge of treatment fields. LETd-based variable RBE weighted dose models predict higher doses at the distal edge of over 10% of the prescribed dose than when assuming a constant RBE. Conclusion: By implementing radiobiological effect models into a Monte Carlo simulation package we combine accurate dose calculation with biological modeling. TOPAS thereby provides distributions of multiple physical quantities such as the dose and LETd, and estimates of biological parameters (RBE, survival) thus allowing direct comparison of biological effective dose predictions between different models.« less
Authors:
; ;  [1] ;  [2] ;  [3] ;  [4]
  1. Massachusetts General Hospital and Harvard Medical School, Boston, MA (United States)
  2. Deutsches Krebsforschungs Zentrum, Heidelberg (Germany)
  3. Stanford Linear Accelerator Center, Menlo Park, CA (United States)
  4. UC San Francisco, San Francisco, CA (United States)
Publication Date:
OSTI Identifier:
22409787
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 41; Journal Issue: 6; Other Information: (c) 2014 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; BIOLOGICAL MODELS; BIOLOGICAL RADIATION EFFECTS; COMPUTERIZED SIMULATION; LET; MONTE CARLO METHOD; PATIENTS; PHANTOMS; PROTON BEAMS; RADIATION DOSE DISTRIBUTIONS; RADIATION DOSES; RADIOTHERAPY; RBE