title: Dependence of normal brain integral dose and normal tissue complication probability on the prescription isodose values for gamma-knife radiosurgery.
abstract: A recent multi-institutional clinical study suggested possible benefits of lowering the prescription isodose lines for stereotactic radiosurgery procedures. In this study, we investigate the dependence of the normal brain integral dose and the normal tissue complication probability (NTCP) on the prescription isodose values for gamma-knife radiosurgery. An analytical dose model was developed for gamma-knife treatment planning. The dose model was commissioned by fitting the measured dose profiles for each helmet size. The dose model was validated by comparing its results with the Leksell gamma plan (LGP, version 5.30) calculations. The normal brain integral dose and the NTCP were computed and analysed for an ensemble of treatment cases. The functional dependence of the normal brain integral dose and the NCTP versus the prescribing isodose values was studied for these cases. We found that the normal brain integral dose and the NTCP increase significantly when lowering the prescription isodose lines from 50% to 35% of the maximum tumour dose. Alternatively, the normal brain integral dose and the NTCP decrease significantly when raising the prescribing isodose lines from 50% to 65% of the maximum tumour dose. The results may be used as a guideline for designing future dose escalation studies for gamma-knife applications.
authors.affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore 21201, USA. lma001@umaryland.edu
authors.forename: L
authors.initials: L
authors.lastname: Ma
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging* / Q000473:pathology*; D001932:Brain Neoplasms / Q000601:surgery*; D004307:Dose-Response Relationship, Radiation; D006801:Humans; D008962:Models, Theoretical; D011859:Radiography; D011874:Radiometry; D016634:Radiosurgery; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*