Literature DB >> 6888354

Models in radiotherapy: volume effects.

T E Schultheiss, C G Orton, R A Peck.   

Abstract

A model for the dependence of normal tissue radiation dose response functions on volume variations and dose inhomogeneities is derived using probability theory. Power law volume correction factors and the complication probability factor are shown to be special cases arising from approximations applied to this model. Both require the assumption of small probabilities of complication. Power law volume corrections are shown to require a homogeneous dose distribution. The general model is tissue specific and can be used to calculate probabilities of complication for individual organs or isoprobability doses for radiation injury. The model is applicable to both homogeneous and inhomogeneous dose distributions and has been used in computer determination of optimal treatment parameters. Experimental data are presented which are consistent with the general model alone and which demonstrate the limits of applicability of previous models.

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Year:  1983        PMID: 6888354     DOI: 10.1118/1.595312

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  19 in total

1.  The effect of slice thickness on target and organs at risk volumes, dosimetric coverage and radiobiological impact in IMRT planning.

Authors:  S P Srivastava; C-W Cheng; I J Das
Journal:  Clin Transl Oncol       Date:  2015-08-27       Impact factor: 3.405

2.  Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues.

Authors:  Søren M Bentzen; Louis S Constine; Joseph O Deasy; Avi Eisbruch; Andrew Jackson; Lawrence B Marks; Randall K Ten Haken; Ellen D Yorke
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

3.  Objective assessment of image quality VI: imaging in radiation therapy.

Authors:  Harrison H Barrett; Matthew A Kupinski; Stefan Müeller; Howard J Halpern; John C Morris; Roisin Dwyer
Journal:  Phys Med Biol       Date:  2013-11-21       Impact factor: 3.609

4.  Analysis of outcomes in radiation oncology: an integrated computational platform.

Authors:  Dezhi Liu; Munther Ajlouni; Jian-Yue Jin; Samuel Ryu; Farzan Siddiqui; Anushka Patel; Benjamin Movsas; Indrin J Chetty
Journal:  Med Phys       Date:  2009-05       Impact factor: 4.071

5.  Dynamic conformal arc cranial stereotactic radiosurgery: implications of multileaf collimator margin on dose-volume metrics.

Authors:  J A Tanyi; E J Doss; C M Kato; D L Monaco; L ZMeng; Y Chen; C D Kubicky; C M Marquez; M Fuss
Journal:  Br J Radiol       Date:  2012-11       Impact factor: 3.039

6.  Modeling the Cellular Response of Lung Cancer to Radiation Therapy for a Broad Range of Fractionation Schedules.

Authors:  Jeho Jeong; Jung Hun Oh; Jan-Jakob Sonke; Jose Belderbos; Jeffrey D Bradley; Andrew N Fontanella; Shyam S Rao; Joseph O Deasy
Journal:  Clin Cancer Res       Date:  2017-05-24       Impact factor: 12.531

7.  VMAT and step-and-shoot IMRT in head and neck cancer: a comparative plan analysis.

Authors:  Rolf Wiehle; Stefan Knippen; Anca-Ligia Grosu; Gregor Bruggmoser; Norbert Hodapp
Journal:  Strahlenther Onkol       Date:  2011-11-29       Impact factor: 3.621

8.  Assessing the Clinical Impact of Approximations in Analytical Dose Calculations for Proton Therapy.

Authors:  Jan Schuemann; Drosoula Giantsoudi; Clemens Grassberger; Maryam Moteabbed; Chul Hee Min; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-04-08       Impact factor: 7.038

9.  Use of gEUD for predicting ear and pituitary gland damage following proton and photon radiation therapy.

Authors:  L De Marzi; L Feuvret; T Boulé; J-L Habrand; F Martin; V Calugaru; N Fournier-Bidoz; R Ferrand; A Mazal
Journal:  Br J Radiol       Date:  2015-02-11       Impact factor: 3.039

10.  Impact of potentially variable RBE in liver proton therapy.

Authors:  Yizheng Chen; Clemens Grassberger; Junli Li; Theodore S Hong; Harald Paganetti
Journal:  Phys Med Biol       Date:  2018-09-21       Impact factor: 3.609

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