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Cadaveric verification of the Eclipse AAA algorithm for spine SBRT treatments with titanium hardware
Michael P Grams1, Luis E Fong de Los Santos1, John A Antolak1
1Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
Practical Radiation Oncology
|January 3, 2016
Summary
The Eclipse Analytical Anisotropic Algorithm accurately calculates radiation dose for spine stereotactic body radiation therapy (SBRT) with titanium implants. Both standard and extended CT scales provide reliable results for these complex treatments.
Area of Science:
- Medical Physics
- Radiation Oncology
- Biomedical Engineering
Background:
- Spine stereotactic body radiation therapy (SBRT) requires precise dose calculations.
- Surgically implanted hardware, such as titanium, can introduce artifacts in treatment planning.
- Accurate modeling of these artifacts is crucial for effective SBRT.
Purpose of the Study:
- To evaluate the accuracy of the Eclipse Analytical Anisotropic Algorithm for dose calculation in spine SBRT.
- To assess the algorithm's performance with titanium implants.
- To compare dose calculation accuracy using standard and extended CT scales.
Main Methods:
- A human cadaver spine with titanium implants was used for planning and delivery simulations.
- Treatment plans were created using standard and extended CT scales with different artifact overrides.
- Volumetric modulated arc therapy (VMAT) plans were delivered, and dose was measured using Gafchromic film.
- Gamma analysis with a 2%/2 mm criteria was used to compare calculated and measured doses.
Main Results:
- Gamma passing rates in a homogeneous phantom were ≥99.6%.
- Passing rates in the non-implanted spine section were ≥99.3%.
- Passing rates in the titanium-implanted spine section ranged from 98.6% to 99.5%.
Conclusions:
- The Eclipse Analytical Anisotropic Algorithm accurately models titanium implants in spine SBRT.
- Both standard and extended CT scales yield accurate dose calculations.
- The algorithm is suitable for VMAT spine SBRT with titanium hardware.

