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Updated: Oct 11, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
Published on: October 6, 2023
Technical Report: Development and Implementation of an Open Source Template Interpretation Class Library for
Matthew C Schmidt1, Eleanor A Pryser2, Brian C Baumann2
1Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri; Department of Physics, University of Massachusetts Lowell, Lowell, Massachusetts.
Automated radiation therapy planning using an open-source library improves efficiency and consistency. This tool successfully generated high-quality treatment plans for prostate and pelvic cancers, reducing dose to critical organs.
Area of Science:
- Radiation oncology
- Medical physics
- Software development
Background:
- Automated treatment planning in radiation therapy is challenging due to clinic and physician variability.
- Consistent plan parameters are difficult to achieve with manual planning.
Purpose of the Study:
- To develop an open-source class library to enhance efficiency and consistency in automated radiation therapy planning.
- To overcome variability in clinical preferences for automated treatment planning.
Main Methods:
- Developed an open-source class library to interpret clinical templates for automated planning.
- Leveraged the library for automated planning of 39 patients.
- Retrospectively compared automated plans with 78 clinically approved manual plans.
Main Results:
- Successfully generated 74 of 78 plans without manual intervention.
- Automated plans showed improved target dose homogeneity (HI: 3.11 vs 3.30).
- Significantly reduced generalized equivalent uniform dose (gEUD) in femurs and rectum (P ≤ 0.001).
- Automated plans passed quality assurance gamma analysis (>95%) and demonstrated deliverability.
Conclusions:
- Automated planning for prostate cancer and pelvic node radiation therapy is feasible using volumetric modulated arc therapy (VMAT) and clinical templates.
- The developed class library effectively interfaces between templates and planning systems for automated, high-quality plan generation.
- Standardized clinical workflows enable the automation of high-quality radiation therapy plans.
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