Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacokinetic–Pharmacodynamic Relationship: Dose to Pharmacological Effect01:28

Pharmacokinetic–Pharmacodynamic Relationship: Dose to Pharmacological Effect

A drug’s dosage and pharmacokinetic properties determine how quickly it acts, how intense its effects are, and how long it lasts. Higher doses increase drug concentration at receptor sites, producing a hyperbolic curve when pharmacologic response is plotted against drug dose. Converting this scale to a log-linear format results in a sigmoidal curve, better representing dose–response relationships.For drugs following a one-compartment model, the pharmacologic response is directly proportional to...
Biological Effects of Radiation02:59

Biological Effects of Radiation

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 produce ions...
Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship01:14

Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship

For drugs producing a quantal response, onset occurs when plasma concentration reaches a minimum effective level (Cmin). The drug's action duration depends on how long the plasma concentration remains above Cmin.Two primary factors influence this duration: dose size and the rate of drug removal from the action site. Both depend on the drug's redistribution to poorly perfused tissues and elimination processes. A larger dose promotes rapid onset and prolongs the effect's duration.Consider a...
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

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...
Pharmacokinetic–Pharmacodynamic Relationship: Intensity of Dose-Effect Relationship01:23

Pharmacokinetic–Pharmacodynamic Relationship: Intensity of Dose-Effect Relationship

Pharmacodynamics explores the relationship between drug concentration and its effect. In a quantal response drug, the duration of action better correlates with drug concentration, while for graded effect drugs, the intensity of response is more relevant. This intensity depends on the dose, drug removal rate, and the region of the concentration–response curve.The concentration–response curve can be divided into three regions. Region 3 (80–100% maximum response) demonstrates that even as drug...
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

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 relationships...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

New index for quantitative comparison of dose distributions in radiotherapy.

Medical physics·2025
Same author

Dose conformity and falloff in single-lesion intracranial SRS with DCA and VMAT methods.

Journal of applied clinical medical physics·2024
Same author

Toward an improved assessment of dose conformity in radiotherapy.

Medical physics·2023
Same author

Novel approach for the evaluation of dose conformity in radiotherapy.

Medical physics·2022
Same author

Impact of target dose inhomogeneity on BED and EUD in lung SBRT.

Physics in medicine and biology·2021
Same author

Technical Note: New similarity index for radiotherapy and medical imaging.

Medical physics·2020

Related Experiment Video

Updated: May 10, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Effect of variable dose rate on biologically effective dose.

Vadim Y Kuperman1, Greg S Spradlin

  • 1Department of Radiation Oncology, Halifax Health , Daytona Beach, Florida.

International Journal of Radiation Biology
|June 7, 2013
PubMed
Summary
This summary is machine-generated.

Optimizing radiation dose rate can reduce biologically effective dose (BED) for late-responding tissues more than for tumors. This dose rate optimization decreases normal tissue complication probability (NTCP), offering radiobiological benefits.

More Related Videos

Use of a Linear Accelerator for Conducting In Vitro Radiobiology Experiments
06:08

Use of a Linear Accelerator for Conducting In Vitro Radiobiology Experiments

Published on: May 26, 2019

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator
07:31

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator

Published on: May 9, 2014

Related Experiment Videos

Last Updated: May 10, 2026

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
06:20

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Use of a Linear Accelerator for Conducting In Vitro Radiobiology Experiments
06:08

Use of a Linear Accelerator for Conducting In Vitro Radiobiology Experiments

Published on: May 26, 2019

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator
07:31

Characterization of Recombination Effects in a Liquid Ionization Chamber Used for the Dosimetry of a Radiosurgical Accelerator

Published on: May 9, 2014

Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Radiobiology

Background:

  • The linear-quadratic (LQ) model is fundamental in radiobiology.
  • Understanding dose rate effects is crucial for optimizing radiation therapy.
  • Biologically effective dose (BED) and normal tissue complication probability (NTCP) are key metrics in treatment planning.

Purpose of the Study:

  • To investigate the impact of variable dose rate on biologically effective dose (BED).
  • To determine the dose rate that minimizes effective protraction factor (Geff) and BED.
  • To assess how dose rate optimization affects normal tissue complication probability (NTCP).

Main Methods:

  • Utilized the linear-quadratic (LQ) model with bi-exponential repair.
  • Analytically determined time-dependent dose rate to minimize Geff and BED.
  • Assessed NTCP based on the calculated BED and fraction time.

Main Results:

  • Determined the relationships between Geff, BED, and NTCP with fraction time for varying radiobiological parameters.
  • Compared outcomes for constant dose rate (R0) versus variable dose rate (R).
  • Showed that BED reduction for late-responding tissues can exceed that for tumors with increased fraction time.

Conclusions:

  • Variable dose rate optimization can be radiobiologically advantageous.
  • Optimizing dose rate leads to a decrease in NTCP.
  • Findings suggest potential for improved therapeutic ratios in radiation therapy.