Jan Unkelbach1, Dávid Papp1. 1. Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114.
Abstract
PURPOSE: Nonuniform spatiotemporal radiotherapy fractionation schemes, i.e., delivering distinct dose distributions in different fractions can potentially improve the therapeutic ratio. This is possible if the dose distributions are designed such that similar doses are delivered to normal tissues (exploit the fractionation effect) while hypofractionating subregions of the tumor. In this paper, the authors develop methodology for treatment planning with nonuniform fractions and demonstrate this concept in the context of intensity-modulated proton therapy (IMPT). METHODS: Treatment planning is performed by simultaneously optimizing (possibly distinct) IMPT dose distributions for multiple fractions. This is achieved using objective and constraint functions evaluated for the cumulative biologically equivalent dose (BED) delivered at the end of treatment. BED based treatment planning formulations lead to nonconvex optimization problems, such that local gradient based algorithms require adequate starting positions to find good local optima. To that end, the authors develop a combinatorial algorithm to initialize the pencil beam intensities. RESULTS: The concept of nonuniform spatiotemporal fractionation schemes is demonstrated for a spinal metastasis patient treated in two fractions using stereotactic body radiation therapy. The patient is treated with posterior oblique beams with the kidneys being located in the entrance region of the beam. It is shown that a nonuniform fractionation scheme that hypofractionates the central part of the tumor allows for a skin and kidney BED reduction of approximately 10%-20%. CONCLUSIONS: Nonuniform spatiotemporal fractionation schemes represent a novel approach to exploit fractionation effects that deserves further exploration for selected disease sites.
PURPOSE: Nonuniform spatiotemporal radiotherapy fractionation schemes, i.e., delivering distinct dose distributions in different fractions can potentially improve the therapeutic ratio. This is possible if the dose distributions are designed such that similar doses are delivered to normal tissues (exploit the fractionation effect) while hypofractionating subregions of the tumor. In this paper, the authors develop methodology for treatment planning with nonuniform fractions and demonstrate this concept in the context of intensity-modulated proton therapy (IMPT). METHODS: Treatment planning is performed by simultaneously optimizing (possibly distinct) IMPT dose distributions for multiple fractions. This is achieved using objective and constraint functions evaluated for the cumulative biologically equivalent dose (BED) delivered at the end of treatment. BED based treatment planning formulations lead to nonconvex optimization problems, such that local gradient based algorithms require adequate starting positions to find good local optima. To that end, the authors develop a combinatorial algorithm to initialize the pencil beam intensities. RESULTS: The concept of nonuniform spatiotemporal fractionation schemes is demonstrated for a spinal metastasispatient treated in two fractions using stereotactic body radiation therapy. The patient is treated with posterior oblique beams with the kidneys being located in the entrance region of the beam. It is shown that a nonuniform fractionation scheme that hypofractionates the central part of the tumor allows for a skin and kidney BED reduction of approximately 10%-20%. CONCLUSIONS: Nonuniform spatiotemporal fractionation schemes represent a novel approach to exploit fractionation effects that deserves further exploration for selected disease sites.
Authors: Juan Carlos López Alfonso; Shireen Parsai; Nikhil Joshi; Andrew Godley; Chirag Shah; Shlomo A Koyfman; Jimmy J Caudell; Clifton D Fuller; Heiko Enderling; Jacob G Scott Journal: Med Phys Date: 2018-06-08 Impact factor: 4.071
Authors: Jan Unkelbach; Marc R Bussière; Paul H Chapman; Jay S Loeffler; Helen A Shih Journal: Int J Radiat Oncol Biol Phys Date: 2016-02-06 Impact factor: 7.038
Authors: Shireen Parsai; Richard L J Qiu; Peng Qi; Juan C L Alfonso; Jeremy Donaghue; Eric Murray; David Majkszak; Nicole Dorio; Clifton D Fuller; Kristy Brock; Shlomo Koyfman; Neil Woody; Nikhil Joshi; Jacob G Scott Journal: J Appl Clin Med Phys Date: 2020-05-08 Impact factor: 2.243