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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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EGSnrc application for IMRT planning.

Sitti Yani1,2, Ilmi Rizkia2, Kamirul3

  • 1Department of Physics, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB University), Jalan Meranti Kampus IPB Dramaga, Bogor 16680, Indonesia.

Reports of Practical Oncology and Radiotherapy : Journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
|March 21, 2020
PubMed
Summary

This study details intensity modulated radiotherapy (IMRT) planning simulation using BEAMnrc-DOSXYZnrc and introduces a MATLAB-based GUI for combining dose data. Further research is needed to minimize dose errors and DVH deviations in IMRT simulations.

Keywords:
EGSnrcIMRT planningMonte carloVDOSE

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Area of Science:

  • Medical Physics
  • Radiotherapy Physics
  • Computational Dosimetry

Background:

  • Intensity Modulated Radiotherapy (IMRT) requires accurate dose calculation for effective cancer treatment.
  • Monte Carlo (MC) simulations offer high accuracy but can be computationally intensive.
  • Existing tools may lack integrated functionalities for comprehensive IMRT plan analysis.

Purpose of the Study:

  • To provide detailed instructions for IMRT planning simulation using the BEAMnrc-DOSXYZnrc code system (part of the EGSnrc package).
  • To develop and present a novel in-house graphical user interface (GUI) using MATLAB for combining multiple 3ddose files from IMRT plans.
  • To analyze dose distributions, isodose contours, and dose-volume histogram (DVH) curves from various beam angles.

Main Methods:

  • Commissioning of a Varian Clinac iX 6 MV linear accelerator.
  • Simulation of IMRT planning using the EGSnrc/BEAMnrc-DOSXYZnrc code system.
  • Development of the VDOSE GUI in MATLAB to process and visualize dose data.
  • Extraction of IMRT plan parameters (MLC positions, gantry angles, isocenters, MU) from clinical data.

Main Results:

  • The VDOSE GUI successfully displays dose distribution curves for each slice and beam angle.
  • Significant variations in dose distributions were observed due to differing multileaf collimator (MLC) openings, even with identical simulated particle counts.
  • A relative dose error of 51.23% was noted between MC and analytical anisotropic algorithm (AAA) data for the 'body' region, highlighting normalization differences.

Conclusions:

  • A Monte Carlo simulation framework for IMRT dose calculation using DOSXYZnrc has been established.
  • The developed VDOSE GUI facilitates the analysis of complex IMRT dose distributions.
  • Further investigations are recommended to reduce dose errors and DVH deviations in EGSnrc-based IMRT simulations.