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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
Published on: October 6, 2023
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A Web-based Dose-volume Histogram Dashboard for Library-based Individualized Dose-constraints and Clinical Plan
Indranil Mallick1, Saheli Saha2, Moses A Arunsingh2
1Department of Radiation Oncology, Tata Medical Center, 14 MAR (EW) Newtown, Kolkata, 700160, India. indranil.mallick@tmckolkata.com.
Journal of Medical Systems
|April 27, 2021
Summary
This study developed web applications for personalized radiation therapy planning. These tools create individualized dose constraints and evaluate plans using a library of prior treatment data, improving accuracy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Health Informatics
Background:
- Current radiation therapy planning relies on generic dose constraints, potentially limiting treatment optimization.
- Individualized dose constraints can enhance treatment plan quality and patient outcomes.
Purpose of the Study:
- To develop web-based applications for generating individualized dose constraints and evaluating treatment plans.
- To create a system for personalized radiation therapy planning using a library of prior approved plans.
Main Methods:
- A prototype system was developed for intensity modulated radiation therapy (IMRT) plans for prostate cancer.
- Dose-volume histograms (DVHs) from existing treatment planning systems were used to build a library of prior approved plans.
- Web applications were created to derive patient-specific dose constraints and compare new plans against the library.
Main Results:
- The system successfully generated individualized dose constraints for the planning target volume (PTV) and organs-at-risk (OAR).
- A second application enabled comparison of new treatment plans against a library of similar patient plans.
- The developed web applications demonstrated proof of principle for library-based planning and review.
Conclusions:
- Web-based applications can be effectively utilized to create individualized dose constraints in radiation therapy.
- A library-based approach, supported by accessible tools, can enhance treatment plan evaluation and personalization.
- This methodology offers a feasible pathway for improving radiation oncology treatment planning and review processes.
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