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Published on: March 11, 2021
Isobio software: biological dose distribution and biological dose volume histogram from physical dose conversion
Tanwiwat Jaikuna1, Phatchareewan Khadsiri1, Nisa Chawapun2
1Medical Physics Master Degree Program, Department of Radiology, Faculty of Medicine.
Isobio software accurately calculates biological dose distributions and histograms using the linear-quadratic-linear model. This tool aids in evaluating radiation therapy plans for external beam and brachytherapy, ensuring treatment accuracy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Software Development
Background:
- Accurate biological dose calculation is crucial for effective radiation therapy planning.
- The linear-quadratic-linear (LQL) model is a standard for predicting radiation effects.
- Existing tools may require enhancement for comprehensive biological dose analysis.
Purpose of the Study:
- To develop an in-house software program, Isobio, for calculating biological dose distributions and histograms.
- To implement physical dose conversion using the LQL model within the software.
- To validate the software's accuracy against established methods.
Main Methods:
- Developed Isobio software using MATLAB to compute biological dose distributions and histograms.
- Extracted physical dose data from the Computational Environment for Radiotherapy Research (CERR).
- Calculated equivalent dose in 2 Gy fractions (EQD2) using the LQL model and BED, verified with manual calculations and t-tests.
Main Results:
- Isobio successfully generated 2D and 3D biological dose distributions and histograms.
- Physical dose differences between CERR and TPS were minimal (<3.33%) in critical structures.
- No significant differences were found between Isobio's EQD2 calculations and manual computations (p > 0.05).
Conclusions:
- Isobio is a feasible and accurate tool for generating biological dose metrics.
- The software supports treatment plan evaluation in both external beam radiation therapy (EBRT) and brachytherapy (BT).
- Isobio enhances the assessment of radiation therapy plans by providing biological dose insights.
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