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Related Concept Videos

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...
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
Radiation: Applications01:17

Radiation: Applications

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.
The average...

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Updated: Jun 28, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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Calculating biological dose distributions in hadrontherapy using GATE: the BioDose actor.

Alexis Pereda1, Thomas Berger2, Michaël Beuve3

  • 1Laboratoire de Physique de Clermont Auvergne, Université Clermont Auvergne, 4 avenue blaise pascal, Aubière, 63170, France.

Physics in Medicine and Biology
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

The BioDoseActor tool enhances hadrontherapy by calculating biological dose and uncertainty, validating models, and optimizing treatment plans. It efficiently computes biological doses using pre-calculated coefficients, improving accuracy and reducing computation time.

Keywords:
GATEMonte Carlobiological dosehadrontherapy

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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Hadrontherapy offers precise dose delivery but requires accurate biological dose assessment.
  • Current methods for calculating biological dose and uncertainty in treatment planning are complex and time-consuming.
  • Validating biophysical models is crucial for optimizing clinical outcomes in hadrontherapy.

Purpose of the Study:

  • To introduce the BioDoseActor, a novel tool for calculating biological dose and uncertainty in hadrontherapy treatment plans.
  • To facilitate the validation of biophysical models and optimize clinical treatment planning.
  • To improve the accuracy and efficiency of biological dose calculations.

Main Methods:

  • Utilized pre-calculated linear-quadratic coefficients (α and β) from biophysical models (mMKM, NanOx).
  • Covered various ions (H, He, Li, C, O) across a wide energy range (0.1–1000 MeV/u).
  • Evaluated Geant4 step-size limitation methods (StepLimiter, StepFunction) for optimizing Monte Carlo simulations in SOBP distributions.

Main Results:

  • The StepFunction method accelerated proton and carbon-ion simulations by 30.6x and 2x, respectively, with <2% difference in SOBP.
  • Optimal StepFunction parameters were identified for clinical proton and carbon-ion beams.
  • Calculated α, β coefficients, and RBE values (1.2-1.5 for protons, 2-3 for carbon ions) matched literature.
  • Validated BioDoseActor on a clinical carbon-ion plan, generating physical/biological dose maps and DVHs.

Conclusions:

  • BioDoseActor enables direct comparison of biophysical models for clinical integration.
  • Optimized simulation parameters reduce computation time without sacrificing accuracy.
  • Enhances the feasibility of biological dose-based treatment planning in hadrontherapy.