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Published on: June 7, 2015
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Script-based implementation of automatic grid placement for lattice stereotactic body radiation therapy
Wesley W Tucker1, Thomas R Mazur1, Matthew C Schmidt1
1Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Physics and Imaging in Radiation Oncology
|February 21, 2024
Summary
An automated script for lattice stereotactic body radiation therapy (SBRT) placement of spheres significantly reduces planning time and improves adherence to protocol rules compared to manual methods. This advancement enhances efficiency in spatially fractionated radiation therapy (SFRT) for cancer treatment.
Area of Science:
- Radiation Oncology
- Medical Physics
- Cancer Treatment
Background:
- Spatially fractionated radiation therapy (SFRT) shows promise for large tumors with heterogeneous doses.
- Lattice stereotactic body radiation therapy (SBRT) uses inverse optimization for precise dose localization.
Purpose of the Study:
- To evaluate an automated heuristic algorithm for sphere placement in lattice SBRT treatment planning.
- To compare automated sphere placement with manual methods in terms of efficiency and accuracy.
Main Methods:
- A script-based algorithm for sphere placement was implemented in a treatment planning system.
- The script was applied to 22 cases, comparing sphere distribution, protocol violations, and time with manual placement.
- Re-planning was performed using script-generated spheres to assess plan quality.
Main Results:
- The script placed more spheres (mean 13.8) than manual placement by dosimetrists (10.8-12.0) and physicists (12.7).
- Script-based sphere generation was significantly faster (2.5 min) than manual placement (19.3-29.9 min).
- Plan quality indices were comparable, with OAR constraints met in most cases.
Conclusions:
- An automated script effectively places spheres for lattice SBRT according to protocol rules.
- Script-produced sphere placement is superior to manual placement regarding sphere number and rule adherence.
- This automated approach offers a more efficient and accurate method for lattice SBRT planning.

