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Related Concept Videos

Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

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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...
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Related Experiment Video

Updated: Mar 31, 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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Monte Carlo dose calculation in dental amalgam phantom.

Mohd Zahri Abdul Aziz1, A L Yusoff2, N D Osman3

  • 1Oncological and Radiological Science Cluster, Advance Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas 13200, Penang, Malaysia.

Journal of Medical Physics
|October 27, 2015
PubMed
Summary

Metal amalgam in radiation therapy causes CT image artifacts, leading to dose calculation errors. A new technique reduces these artifacts and dose uncertainties from 46% to 2%, improving accuracy for electron beam therapy.

Keywords:
AmalgamMonte Carlodose calculation algorithmstreak artifact

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Medical Imaging

Background:

  • Accurate dose calculation is crucial in electron beam therapy, with tissue inhomogeneity being a key factor.
  • Computed tomography (CT) images are essential for radiotherapy treatment planning.
  • Metal artifacts in CT images, particularly from dental amalgam, significantly compromise dose calculation accuracy.

Purpose of the Study:

  • To address the challenge of dose calculation errors caused by metal amalgam artifacts in CT images.
  • To improve the accuracy of radiotherapy dose calculations in the presence of dental materials.
  • To reduce dose uncertainties in electron beam therapy for head and neck treatments.

Main Methods:

  • Applied a streak artifact reduction technique to correct CT images with metal amalgam.
  • Corrected amalgam density data to assign accurate voxel density values.
  • Utilized Monte Carlo (MC) calculations for dose assessment.

Main Results:

  • The artifact reduction technique improved image quality, enhancing structure delineation and density assignment.
  • Dose uncertainties due to metal amalgam were significantly reduced from 46% to 2% at d80.
  • Accurate amalgam voxel density values were achieved post-correction.

Conclusions:

  • The developed correction strategy effectively reduces dose calculation uncertainties caused by metal amalgam artifacts.
  • This technique is particularly relevant for head and neck radiotherapy due to the presence of radiosensitive organs.
  • The study recommends this strategy for enhancing accuracy in Monte Carlo-based dose calculations.