Inverse treatment planning for Gamma Knife radiosurgery

An inverse treatment planning system for Gamma Knife radiosurgery has been developed using nonlinear programming techniques. The system optimizes the shot sizes, locations, and weights for Gamma Knife treatments. In the patient’s prescription, the user can specify both the maximum number of shots of...

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Bibliographic Details
Published in:Medical physics (Lancaster) 2000-12, Vol.27 (12), p.2748-2756
Main Authors: Shepard, D. M., Ferris, M. C., Ove, R., Ma, L.
Format: Article
Language:English
Subjects:
Algorithms
Cancer
Dose-Response Relationship, Radiation
dosimetry
Dosimetry/exposure assessment
Gamma Knife
Gamma rays
gamma‐ray applications
Humans
inverse problems
inverse treatment planning
Least-Squares Analysis
medical computing
Medical treatment planning
Models, Statistical
Neoplasms - radiotherapy
Neoplasms - surgery
nonlinear programming
Physicists
planning
radiation therapy
Radiation treatment
radiosurgery
Radiosurgery - instrumentation
Radiosurgery - methods
Radiotherapy Planning, Computer-Assisted - methods
surgery
Treatment strategy
tumours
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Summary:An inverse treatment planning system for Gamma Knife radiosurgery has been developed using nonlinear programming techniques. The system optimizes the shot sizes, locations, and weights for Gamma Knife treatments. In the patient’s prescription, the user can specify both the maximum number of shots of radiation and a minimum isodose line that must surround the entire treatment volume. After satisfying all of the constraints included in the prescription, the system maximizes the conformity of the dose distribution. This automated approach to treatment planning has been applied retrospectively to a series of patient cases, and each optimized plan has been compared to the corresponding manual plan produced by an experienced user. The results demonstrate that this tool can often improve the tumor dose homogeneity while using fewer shots than were included in the original plan. Therefore, inverse treatment planning should improve both the quality and the efficiency of Gamma Knife treatments.
ISSN:0094-2405
2473-4209
DOI:10.1118/1.1328080