title: Inverse treatment planning for Gamma Knife radiosurgery.
abstract: 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.
authors.affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore 21201-1595, USA. dshep001@umaryland.edu
authors.forename: D M
authors.initials: DM
authors.lastname: Shepard
authors.forename: M C
authors.initials: MC
authors.lastname: Ferris
authors.forename: R
authors.initials: R
authors.lastname: Ove
authors.forename: L
authors.initials: L
authors.lastname: Ma
mesh_terms: D000465:Algorithms; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D016018:Least-Squares Analysis; D015233:Models, Statistical; D009369:Neoplasms / Q000532:radiotherapy / Q000601:surgery; D016634:Radiosurgery / Q000295:instrumentation* / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*