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

You might also read

Related Articles

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

Sort by
Same author

Re-evaluating previous dose and allowing increasing recovery (REPAIR): study protocol for a thoracic reirradiation phase I dose escalation trial.

BMC cancer·2026
Same author

Evaluating consistency of radiomic features derived from CT images: A cross-center phantom study.

Journal of applied clinical medical physics·2026
Same author

Dynamic Tumor Tracking (DTT) for Hepatocellular Carcinoma Using the Vero4DRT Gimbaled Linac Stereotactic Body Radiation Therapy (SBRT) System.

Cancers·2025
Same author

Reirradiation clinical practice in gastrointestinal abdominal malignancies: an international reirradiation collaborative group (ReCOG) systematic review.

Clinical and translational radiation oncology·2025
Same author

Spatial dose-distribution-based risk mapping to predict moist desquamation in breast radiotherapy.

Physics in medicine and biology·2025
Same author

In Vitro and In Vivo Synergetic Radiotherapy with Gold Nanoparticles and Docetaxel for Pancreatic Cancer.

Pharmaceutics·2024

Related Experiment Video

Updated: Jun 16, 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

Monte Carlo based, patient-specific RapidArc QA using Linac log files.

Tony Teke1, Alanah M Bergman, William Kwa

  • 1Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada. tteke2@bccancer.bc.ca

Medical Physics
|February 24, 2010
PubMed
Summary
This summary is machine-generated.

This study validates Varian RapidArc treatment accuracy using Monte Carlo simulations and Linac log files. The results confirm adequate sampling and good machine performance for precise dose delivery.

More Related Videos

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Related Experiment Videos

Last Updated: Jun 16, 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

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
05:18

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Quality Assurance

Background:

  • Varian RapidArc enables faster radiotherapy delivery.
  • Accurate quality assurance (QA) is crucial for dynamic treatment techniques.
  • Validating dynamic beam delivery accuracy requires robust methods.

Purpose of the Study:

  • To present a Monte Carlo (MC) based QA process for Varian RapidArc dynamic beam delivery accuracy.
  • To validate the sampling adequacy in the RapidArc optimization algorithm.
  • To assess the physical machine performance, including gantry angle and monitor unit (MU) delivery accuracy, using Linac delivery log files (DynaLog).

Main Methods:

  • Ten RapidArc treatment plans were delivered to a phantom.
  • Three MC simulations were performed: static angles, continuous rotation with TPS files, and continuous rotation with DynaLog files.
  • MC doses were compared to ionization chamber measurements and TPS calculations using 3D gamma analysis (3%/3 mm).

Main Results:

  • MC simulations, TPS, and measurements showed dose differences < 2.1%.
  • MC-calculated 3D dose distributions agreed well with TPS ( >95% points with gamma < 1).
  • DynaLog analysis revealed leaf position errors < 1 mm (94% of time) and minimal MU/gantry angle deviations.

Conclusions:

  • The MC-based RapidArc QA system demonstrated accuracy and flexibility.
  • Varian RapidArc plans showed good machine performance and accurate dose distribution delivery.
  • The sampling strategy within the TPS optimization algorithm was confirmed as adequate.