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 Experiment Videos

Cell kill by megavoltage protons with high LET.

Vadim Y Kuperman1

  • 1Department of Radiation Oncology, Florida Hospital, 3100 E. Fletcher Avenue, Tampa, FL 33613, USA.

Physics in Medicine and Biology
|June 29, 2016
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

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

This study introduces a new radiobiological model for proton therapy, detailing how linear energy transfer (LET) impacts cell survival and relative biological effectiveness (RBE). The model offers a more accurate prediction of proton RBE compared to traditional methods.

Area of Science:

  • Radiobiology
  • Medical Physics
  • Radiation Oncology

Background:

  • The linear-quadratic (LQ) model is widely used but has limitations in predicting cell survival under varying linear energy transfer (LET) conditions.
  • Megavoltage protons exhibit complex biological effects influenced by LET, necessitating advanced radiobiological models.
  • Accurate modeling of proton therapy's biological effectiveness is crucial for optimizing treatment plans.

Purpose of the Study:

  • To develop a novel radiobiological model that accurately describes the effect of LET on cell survival and relative biological effectiveness (RBE) for megavoltage protons.
  • To derive an analytical expression for cell survival as a function of LET, assuming critical sites within a cell.
  • To compare the predictions of the new model with the conventional LQ formalism.

Related Experiment Videos

Main Methods:

  • Development of a new radiobiological model based on the concept of critical sites within cells.
  • Derivation of an analytical expression for cell survival (S) as a function of LET.
  • Mathematical modeling of radio-sensitivities (alpha and beta) dependence on LET.
  • Comparison of model predictions for cell survival and RBE with conventional LQ model results.

Main Results:

  • The model indicates that for small doses per fraction, cell survival follows a linear-quadratic (LQ) dose dependence, with alpha increasing and beta decreasing non-linearly with LET.
  • The LQ dose dependence of cell survival is invalidated at large doses per fraction.
  • The proposed model predicts cell survival probabilities and RBE values that generally differ from those predicted by the conventional LQ model.
  • Differences in predicted RBE for protons between the new model and the LQ model were observed.

Conclusions:

  • The developed radiobiological model provides a more nuanced understanding of LET effects on proton therapy outcomes.
  • The model's predictions for cell survival and RBE deviate from the conventional LQ model, particularly at varying LET and dose per fraction.
  • This new model has the potential to improve the accuracy of radiobiological calculations in proton therapy planning.