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Related Concept Videos

Dose Size and Dosing Frequency: Determination Methods01:21

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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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Dose Response Curve: Conventional Versus Nonmonotonic01:21

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The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response...
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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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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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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...
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In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
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Related Experiment Video

Updated: Feb 24, 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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Evaluating Which Dose-Function Metrics Are Most Critical for Functional-Guided Radiation Therapy.

Austin M Faught1, Tokihiro Yamamoto2, Richard Castillo3

  • 1Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.

International Journal of Radiation Oncology, Biology, Physics
|August 18, 2017
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Summary

Structure-based dose-function metrics best predict radiation pneumonitis in lung cancer patients. These functional imaging approaches significantly outperform traditional dose metrics for treatment planning.

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Area of Science:

  • Radiation Oncology
  • Medical Imaging
  • Pulmonary Medicine

Background:

  • Four-dimensional (4D) computed tomography (CT) ventilation imaging is emerging for lung cancer radiotherapy.
  • Accurate prediction of radiation pneumonitis (RP) is crucial for treatment planning.
  • Optimal dose-function metrics for predicting RP require further evaluation.

Purpose of the Study:

  • To evaluate which dose-function metrics best predict radiation pneumonitis (RP) in lung cancer patients.
  • To compare the predictive power of various dose-function metrics against traditional dose metrics.
  • To inform functional-guided radiation therapy by identifying superior predictive models.

Main Methods:

  • Seventy lung cancer patients with 4D CT imaging and pneumonitis grading were analyzed.
  • Dose-function metrics combined 4D CT ventilation images with dose distributions.
  • Evaluated structure-based, image-based (dose-function histogram), and nonlinear weighting schemes.
  • Normal tissue complication probability (NTCP) models predicted grade 3+ pneumonitis; Area Under the Curve (AUC) assessed predictive power.

Main Results:

  • Structure-based approaches focusing on functional lung volume receiving ≥20 Gy showed the highest predictive power (AUC, 0.70).
  • Image-based analysis yielded AUCs of 0.66-0.67 for functional subvolumes.
  • All evaluated dose-function metrics significantly outperformed traditional metrics (mean lung dose, AUC 0.55).

Conclusions:

  • Structure-based dose-function metrics are superior for predicting radiation pneumonitis.
  • Functional imaging metrics offer significant improvements over traditional dose metrics in radiotherapy planning.
  • Identifying optimal functional thresholds aids in refining functional-guided radiation therapy for lung cancer.