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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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Probabilistic optimization of dose coverage in radiotherapy.

David Tilly1,2,3, Åsa Holm3, Erik Grusell1

  • 1Medical Radiation Physics, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.

Physics and Imaging in Radiation Oncology
|January 18, 2021
PubMed
Summary
This summary is machine-generated.

A new probabilistic optimization method for radiotherapy planning improves target dose homogeneity and reduces rectal dose. This approach explicitly incorporates uncertainties, offering an alternative to conventional margin-based planning for better treatment outcomes.

Keywords:
CervixConditional Value at RiskDeformationOrgan motionProbabilistic optimizationRadiotherapy

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Treatment Planning

Background:

  • Geometrical uncertainties in radiotherapy planning are typically handled using margins.
  • Probabilistic optimization offers an alternative by explicitly incorporating uncertainties into the planning process.

Purpose of the Study:

  • To present a novel probabilistic optimization method for radiotherapy treatment planning.
  • To compare this method against conventional margin-based planning.

Main Methods:

  • Defined Percentile Dosage (PD) as the dose coverage probability.
  • Utilized Expected Percentile Dosage (EPD) for optimization, iteratively adjusting tolerances.
  • Applied the method to cervical cancer patients, focusing on organ deformation uncertainties.

Main Results:

  • The EPD tolerance converged rapidly, achieving PDs within 0.1 Gy of the target.
  • Plans demonstrated an average PD accuracy of 0.5% across independent scenarios.
  • Probabilistic plans reduced the rectum volume receiving 90% of the target dose by 16% compared to margin-based plans.

Conclusions:

  • The probabilistic method allows prescription of dose-volume histogram metrics to a specified confidence level.
  • Probabilistic plans improved target dose homogeneity and decreased rectal dose for equivalent target coverage.