A Dosimetric Parameter Reference Look-Up Table for GRID Collimator-Based Spatially Fractionated Radiation Therapy
Hualin Zhang1,2, Michael P Grams3, Joseph J Foy2
1Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Cancers
|February 25, 2022
Summary
This study introduces reference dose tables for GRID therapy, simplifying dose calculations in treatment planning systems (TPS). These validated tables ensure consistent and predictable dosimetric parameters across various tumor sizes and depths.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Physics
Background:
- Calculating dose heterogeneity parameters in GRID therapy is complex for treatment planning systems (TPS).
- Accurate dose computation is crucial for effective and safe GRID therapy delivery.
Purpose of the Study:
- To develop and validate reference dose tables for a standard GRID collimator to address computational challenges.
- To assess the accuracy and consistency of dosimetric parameters derived from these tables for various tumor configurations.
Main Methods:
- Implemented a .decimal Inc. GRID collimator in the Eclipse TPS and validated dose calculation accuracy.
- Simulated ellipsoidal tumors of varying sizes and depths, treated with 6MV photons to a 20 Gy prescription dose.
- Derived GRID therapy dosimetric parameters (D5-D95, EUD, PVDR) and compared them with profile measurements.
Main Results:
- Tumor size and depth variations resulted in dose parameter differences within 5% of the prescription dose.
- PVDR differed from D10/D90, but D10/D90 variations remained within 11% for similar tumor depths.
- Developed three approximation equations for calculating equivalent uniform doses (EUDs) for different radiosensitivity levels.
Conclusions:
- The developed reference dose tables provide consistent and predictable dosimetric parameters for GRID therapy.
- These tables serve as a valuable reference tool for improving dose calculations in treatment planning systems.
- The findings support the clinical application of GRID therapy with enhanced computational accuracy.


