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Biological Effects of Radiation

Biological Effects of Radiation

All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...

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RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation.

Joe H Chang¹, Christopher Gehrke², Ramachandran Prabhakar²

¹Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia; Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; University of Melbourne, Victoria, Australia.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)

|November 10, 2015

Summary

A new program, RADBIOMOD, offers a user-friendly approach to biological modeling in radiotherapy plan evaluation. This tool provides accurate results comparable to existing calculators, aiding future research in the field.

Keywords:

Biological modelling Normal tissue complication probability Radiotherapy plan evaluation Tumour control probability

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Area of Science:

Medical Physics
Radiation Oncology
Computational Biology

Background:

Current radiotherapy plan evaluation relies on physical parameters, which have limitations in predicting clinical outcomes.
Biological modeling offers a more accurate method for evaluating radiotherapy plans and predicting treatment success.
Further research is needed to integrate biological modeling into clinical practice.

Purpose of the Study:

To develop and validate RADBIOMOD, a user-friendly software tool for biological modeling in radiotherapy plan evaluation.
To incorporate multiple established biological models into a single, accessible platform.
To assess the accuracy and reliability of RADBIOMOD compared to existing calculators.

Main Methods:

RADBIOMOD was developed using Visual Basic for Applications (VBA) in Microsoft Excel.
The software integrates various biological models, including tumor control probability (TCP) and normal tissue complication probability (NTCP) models.
RADBIOMOD's performance was validated against 15 sample cases using existing biological modeling calculators.

Main Results:

RADBIOMOD demonstrated high accuracy, with mean absolute errors and root mean square errors below 1% across all tested models.
The program's results were non-significantly different from established biological modeling calculators.
The software provides reliable calculations for various biological endpoints.

Conclusions:

RADBIOMOD is a validated and accurate tool for biological modeling in radiotherapy.
The user-friendly interface and accessibility of RADBIOMOD are expected to facilitate further research in the field.
This tool can aid in the transition of biological modeling from research to clinical application.