A technique to optimize isocenter co-ordinate and collimator angle in radiosurgery planning for multiple brain metastases
Collimator angle optimization software CAOS was developed in Python and integrated with the Eclipse 13.6 platform to support stereotactic radiosurgery treatment planning. Twenty-five cases of multiple brain metastasis (10 with two lesions, 10 with three, and 5 with four) were planned usi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
VINCA Institute of Nuclear Sciences
2025-01-01
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| Series: | Nuclear Technology and Radiation Protection |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/1451-3994/2025/1451-39942501065P.pdf |
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| Summary: | Collimator angle optimization software CAOS was developed in Python and
integrated with the Eclipse 13.6 platform to support stereotactic
radiosurgery treatment planning. Twenty-five cases of multiple brain
metastasis (10 with two lesions, 10 with three, and 5 with four) were
planned using stereotactic radiosurgery in Eclipse 13.6, followed by
optimization with CAOS. Eclipse uses a conventional method, while CAOS
software first determines the isocenter co-ordinate and then optimizes the
collimator angles. The CAOS-optimized plans exhibited significantly improved
dosimetric outcomes in stereotactic radiosurgery planning. They reduced
gradient index and gradient measure values for the tumor, decreased the mean
normal brain volume receiving 12 Gy, and lowered the maximum dose to
organs-at-risk, compared to Eclipse plans. |
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| ISSN: | 1451-3994 1452-8185 |