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Updated: Sep 20, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Developing reference plans for evaluating global clinical trials credentialing and PSQA systems.

Fre'Etta M D Brooks1, Mohammad Hussein2, Jessica Lye3,4,5

  • 1University of Washington Medical Center, Seattle, Washington, USA.

Journal of Applied Clinical Medical Physics
|May 29, 2025
PubMed
Summary
This summary is machine-generated.

A new framework was developed to create validated radiotherapy plans with introduced errors. This allows for testing and comparing dosimetry audit methods, aiding international dosimetry alignment.

Keywords:
IMRT/VMATdosimetry audit comparisoninternation dosimetry auditquality assurancesensitivity specificity evaluation

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Quality Assurance

Background:

  • Dosimetry audits are crucial for ensuring radiotherapy accuracy.
  • Standardized methods are needed to compare the effectiveness of different audit protocols.
  • Existing audit methodologies may vary in their sensitivity to treatment planning and delivery errors.

Purpose of the Study:

  • To establish a practical framework for generating diverse, validated reference radiotherapy plans.
  • To implement a workflow for introducing realistic errors into these plans to simulate clinical scenarios.
  • To create a cohort of perturbed plans for testing and comparing various dosimetry audit methodologies.

Main Methods:

  • Developed 16 Intensity-Modulated Radiation Therapy (IMRT) and Volumetric Modulated Arc Therapy (VMAT) reference plans using RayStation software.
  • Validated plans in a multi-ion-chamber phantom across four phantom geometries.
  • Introduced nine types of dosimetric errors (e.g., beam modeling, MLC parameters, calibration) into 144 plans based on community error distributions.
  • Assessed dose impact on the clinical target volume (CTV) and organs at risk (OARs).

Main Results:

  • Introduced errors caused dose perturbations ranging from <1% to >10% (CTV mean dose) and <10% to >30% (OAR near maximum dose).
  • The 144 plans presented clear "pass" and "fail" scenarios, alongside near threshold results.
  • Plan complexity significantly influenced dose deviation, with the mean MLC Gap metric effectively capturing this relationship.

Conclusions:

  • A robust framework for creating reference plans with perturbations was successfully developed.
  • This framework enables the assessment and comparison of various dosimetry audit and Plan-Specific Quality Assurance (PSQA) methodologies.
  • The Global Harmonization Group (GHG) developed this framework to test audit system comparability and support international dosimetry audit alignment.