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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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Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

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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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Drug Dosing in Renal Diseases: Dose Adjustments Based on Drug Clearance and Elimination Rate Constant01:25

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In patients with renal disease, dosage adjustments are necessary to maintain therapeutic plasma drug concentrations and prevent toxicity or subtherapeutic exposure. Renal impairment alters drug pharmacokinetics, especially in conditions like uremia, where changes such as prolonged elimination half-life and altered apparent volume of distribution can significantly affect drug disposition. These changes require careful modification of the dosing regimen to achieve the desired clinical...
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Calculating drug dosage and accumulation in multiple-dose regimens is crucial for achieving therapeutic efficacy while avoiding toxicity. This involves determining the plasma drug concentrations over time to optimize dosing schedules. The principle of superposition is fundamental in this process, allowing for the prediction of drug concentration in plasma following multiple doses based on single-dose data.The principle of superposition asserts that the plasma concentration-time curves from...
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Dosage Regimens: Designs and Approaches01:28

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Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
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Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
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A dose error evaluation study for 4D dose calculations.

Stefan Milz1, Jan J Wilkens, Wolfgang Ullrich

  • 1Brainlab AG, Kapellenstrasse 12, 85622 Feldkirchen, Germany. Physik-Department, Technische Universität München, Munich, Germany.

Physics in Medicine and Biology
|October 9, 2014
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Summary
This summary is machine-generated.

Respiration-induced motion impacts radiation therapy dose accuracy. A new divergent dose mapping model (dDMM) significantly improves dose transformation accuracy for lung and abdomen treatments compared to other methods.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image-guided Therapy

Background:

  • Respiration-induced motion is a significant challenge in Stereotactic Body Radiation Therapy (SBRT), affecting dose distribution accuracy.
  • Static treatment planning models fail to account for the dynamic nature of breathing, potentially leading to under- or over-dosing.
  • Accurate dose calculation in 4D radiotherapy relies on precise dose transformation between deformable patient geometries.

Purpose of the Study:

  • To evaluate and compare the quality of numerical dose transformations generated by four different algorithms.
  • To introduce and validate an advanced method for verifying dose transformation accuracy in the context of respiratory motion.
  • To assess the impact of voxel size and breathing phases on dose transformation accuracy.

Main Methods:

  • Comparison of four dose transformation algorithms: divergent dose mapping model (dDMM), energy mass congruent mapping (EMCM), dose interpolation (DIM), and basic energy transformation model (bETM).
  • Evaluation based on dose mass histogram (DMH) deviation and mean dose metrics.
  • Utilized a 4D computed tomography (4DCT) lung phantom with 900 regions of interest (ROIs) across various voxel sizes (8 mm to 1 mm) and 9 breathing phases.

Main Results:

  • The dDMM algorithm demonstrated the highest transformation accuracy, achieving 3-5% lower errors than other models across all tested scenarios.
  • EMCM also provided suitable results but requires a more complex implementation.
  • bETM showed errors with small voxel sizes, and DIM performed poorly with large voxel sizes.

Conclusions:

  • The dDMM model offers a simple, efficient, and highly accurate solution for dose transformation in SBRT, outperforming existing methods.
  • Accurate dose transformation is crucial for reliable 4D dose calculations in motion-managed radiotherapy.
  • The findings highlight the limitations of traditional dose mapping and energy transformation models for dynamic treatment scenarios.