An Algorithm for Optimized Patient-Specific Phase Selection During Stereotactic Body Radiation Therapy (SBRT)
Application
An algorithm for optimizing SBRT tumor targeting.
Key Benefits
- Reduction in motion errors
- Faster treatment planning
- Applicable on different treatment modalities such as IMRT and VMAT
- Minimize dose delivery to surrounding organs-at-risk
- Does not rely on a physician’s subjective judgment
Market Summary
SBRT is a radiation therapy for cancer that involves delivering high dose radiation to a limited, but highly precise treatment field containing a tumor. Compared to conventional radiation therapy, which has a two-year success rate of 30-40%, SBRT has shown dramatically better outcomes with a two-year success rate of 80-90%. However, precise targeting of the radiation and patient positioning verification are essential for SBRT, as missing the tumor due to respiratory-induced motion can have devastating consequences for the surrounding normal tissue. The existing (“non-optimized”) method to achieve this targeting and positioning (phase selection) is not reproducible, can be inconsistent, and relies on a physician’s subjective judgment about all organ motion uncertainties that may occur during SBRT execution.
Technology Summary
The goal of Emory inventors was to develop a fast algorithm for accurate dose calculation on deformed anatomies, design a strategy for phase optimization in gated SBRT based on the dose calculation, and demonstrate its clinical impact on improvements to sparing organs-at-risk, in addition to planning target volume conformality. This algorithm was tested in a pilot study on 8 cases of pancreatic cancer for its ability to spare the neighboring duodenum relative to a conventional treatment plan. Using the optimized approach, there was a reduction in the dose (exposure) to 1 cm3 of the duodenum by 16.15%, 40% reduction to 3 cm3 of the duodenum, and 62.1% to 5 cm3 of the duodenum. The relative volume of duodenum getting >5 Gy (SI unit of radiation dose) was reduced by 35% with optimization. These results suggest that optimization using this algorithm spares organs-at-risk during SBRT.
Development Stage
A proof of concept study on 8 cases has been conducted.
Patent Information
| App Type |
Country |
Serial No. |
Patent No. |
File Date |
Issued Date |
Patent Status |
| Utility (parent) |
United States |
14/623,999 |
9,919,163 |
2/17/2015 |
3/20/2018 |
Issued |
|
|
