Related Experiment Video
Updated: May 13, 2026

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources
Published on: October 6, 2023
Patient QA systems for rotational radiation therapy: a comparative experimental study with intentional errors.
Anna Fredh1, Jonas Bengtsson Scherman, Lotte S Fog
1Department of Radiation Oncology, Radiation Medicine Research Center, Copenhagen, Denmark. per.munck@rh.regionh.dk
Commercial patient quality assurance (QA) systems show varied ability in detecting linear accelerator errors. The Epiqa™ system demonstrated superior error detection compared to Delta(4®), OCTAVIUS(®), and COMPASS systems.
Area of Science:
- Medical Physics
- Radiation Oncology
- Quality Assurance
Background:
- Patient-specific quality assurance (QA) is crucial for rotational radiation therapy.
- Accurate detection of linear accelerator errors is essential for patient safety.
Purpose of the Study:
- To evaluate the efficacy of commercial patient QA systems in identifying linear accelerator-related errors.
- To compare the performance of four distinct QA systems: Delta(4®), OCTAVIUS(®), COMPASS, and Epiqa™.
Main Methods:
- Four rotational intensity modulated radiation therapy (IMRT) plans were analyzed.
- Intentional errors were introduced, including increased monitor units, wider MLC banks, and collimator rotation.
- Measurements were assessed using gamma evaluation (2%/2 mm and 3%/3 mm criteria) and dose-volume histograms.
Main Results:
- Significant variation in error detection rates was observed across systems, with failure rates ranging from 0% to 72%.
- Epiqa™ detected all 20 introduced errors, while Delta(4®) detected 15, and OCTAVIUS(®) and COMPASS detected 8 each.
- Calibration and measurement procedures require improvement for certain QA systems.
Conclusions:
- Commercial QA systems exhibit differential sensitivity to specific linear accelerator errors.
- The effectiveness of error detection is plan-dependent.
- A weak correlation exists between gamma evaluation pass rates and dose-volume histogram deviations.
More Related Videos
08:25Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Published on: April 11, 2018
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022