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Biological Effects of Radiation02:59

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 produce ions...

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Irradiator Commissioning and Dosimetry for Assessment of LQ &alpha; and &beta; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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A CT-based analytical dose calculation method for HDR 192Ir brachytherapy.

Emily Poon1, Frank Verhaegen

  • 1Medical Physics Unit, McGill University, 1650 Cedar Avenue, Montreal, Quebec H3G 1A4, Canada.

Medical Physics
|October 9, 2009
PubMed
Summary
This summary is machine-generated.

A new analytical method improves high-dose-rate 192Ir brachytherapy dose calculations by accounting for tissue variations. This approach is accurate and efficient for treatment planning, outperforming traditional methods in complex cases.

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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Physics

Background:

  • High-dose-rate (HDR) 192Iridium (Ir) brachytherapy is a crucial cancer treatment.
  • Accurate dose calculation is essential for effective treatment planning and patient safety.
  • Current methods like Task Group 43 (TG-43) may have limitations in complex anatomical scenarios.

Purpose of the Study:

  • To develop and validate an analytical dose calculation method for HDR 192Ir brachytherapy.
  • To assess the adequacy of the TG-43 formalism in the presence of tissue inhomogeneities and near-skin effects.
  • To improve the accuracy and efficiency of dose calculations in brachytherapy treatment planning.

Main Methods:

  • An analytical method using CT-derived data for material composition and density was employed.
  • Dose distributions were initially calculated in water, then corrected for inhomogeneities using ray tracing.
  • Monte Carlo (MC) simulations and gamma index analysis (3%/2mm) were used for validation against PTRAN_CT MC calculations.

Main Results:

  • The analytical method achieved 100% gamma index passing rates in phantoms with inserts.
  • For breast brachytherapy, TG-43 overestimated target dose and skin dose, while the analytical method agreed with MC within 0.4%.
  • TG-43 showed significantly lower passing rates (48%) compared to the analytical method (100%) for breast plans, though both performed well (>99%) in head-and-neck and esophagus cases.

Conclusions:

  • A validated, correction-based analytical dose calculation method is suitable for HDR 192Ir brachytherapy.
  • The method's high efficiency makes it practical for clinical treatment planning.
  • TG-43 is adequate for target dose estimation when tissue inhomogeneities are minor and shielding/contrast agents are absent.