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Related Concept Videos

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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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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Related Experiment Video

Updated: Oct 5, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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A dose-volume constraint (DVC) projection-based algorithm for IMPT inverse planning optimization.

Sherif M Gadoue1, Dolla Toomeh2, Blake E Schultze3

  • 1Department of Radiation Oncology, Karmanos Cancer Institute, Flint, Michigan, USA.

Medical Physics
|February 1, 2022
PubMed
Summary
This summary is machine-generated.

A new projection-based algorithm, BCQ-ARM, effectively optimizes intensity modulated proton therapy (IMPT) plans with dose-volume constraints (DVCs), yielding clinically equivalent results to existing methods.

Keywords:
IMPTdose-volume constraintsoptimizationprojection algorithmsproton therapy

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Intensity Modulated Proton Therapy (IMPT) requires complex optimization to meet dose constraints.
  • Handling percentage dose-volume constraints (DVCs) is a significant challenge in IMPT planning.

Purpose of the Study:

  • To introduce a novel projection-based algorithm (BCQ-ARM) for solving IMPT optimization problems.
  • To enable the algorithm to handle percentage dose-volume constraints (DVCs) commonly found in IMPT.

Main Methods:

  • Utilized an automatic relaxation method for initial feasible solution projection.
  • Employed bisection search for optimizing organ at risk (OAR) objectives and maximizing minimum target dose.
  • Adapted the CQ algorithm with a specialized projection for non-convex DVCs in split feasibility problems.
  • Applied the BCQ-ARM algorithm to four diverse clinical IMPT cases and compared with Eclipse plans.

Main Results:

  • BCQ-ARM generated IMPT plans with dosimetric endpoints comparable to those from Eclipse.
  • The algorithm demonstrated efficacy across various cases, including complex head and neck cancers.
  • A 10 cGy stopping criterion yielded near-optimal plans, facilitating potential plan database generation.

Conclusions:

  • The BCQ-ARM algorithm successfully generates clinically equivalent IMPT plans with DVCs.
  • The method is suitable for producing optimized treatment plans within practical clinical timeframes.
  • Demonstrated the algorithm's versatility across different IMPT clinical scenarios.