title: Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations.
abstract: New tools are needed to help in evaluating 3-D treatment plans because of the large volume of data. One technique which may prove useful is the application of complication probability calculations. A method of calculating complication probabilities for inhomogeneously irradiated normal tissues is presented in this paper. The method uses clinical estimates of tolerance doses for a few discreet conditions of uniform partial organ irradiation, an empirical fit of a continuous function to these data, and a technique (the effective volume method) for transforming nonuniform dose-volume histograms into equivalent uniform histograms. The behavior of the effective volume histogram reduction method for various boundary conditions is reviewed. The use of complication probabilities in evaluating treatment plans is presented, using examples from an NCI 3-D treatment planning contract.
authors.affiliation: Memorial Sloan-Kettering Cancer Center, New York, NY 10021.
authors.forename: G J
authors.initials: GJ
authors.lastname: Kutcher
authors.forename: C
authors.initials: C
authors.lastname: Burman
authors.forename: L
authors.initials: L
authors.lastname: Brewster
authors.forename: M
authors.initials: M
authors.lastname: Goitein
authors.forename: R
authors.initials: R
authors.lastname: Mohan
mesh_terms: D006801:Humans; D009369:Neoplasms / Q000532:radiotherapy*; D011336:Probability; D011878:Radiotherapy / Q000009:adverse effects*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted