Literature DB >> 16333160

Exploration of tradeoffs in intensity-modulated radiotherapy.

David Craft1, Tarek Halabi, Thomas Bortfeld.   

Abstract

The purpose of this study is to calculate Pareto surfaces in multi-criteria radiation treatment planning and to analyse the dependency of the Pareto surfaces on the objective functions used for the volumes of interest. We develop a linear approach that allows us to calculate truly Pareto optimal treatment plans, and we apply it to explore the tradeoff between tumour dose homogeneity and critical structure sparing. We show that for two phantom and two clinical cases, a smooth (as opposed to kinked) Pareto tradeoff curve exists. We find that in the paraspinal cases the Pareto surface is invariant to the response function used on the spinal cord: whether the mean cord dose or the maximum cord dose is used, the Pareto plan database is similar. This is not true for the lung studies, where the choice of objective function on the healthy lung tissue influences the resulting Pareto surface greatly. We conclude that in the special case when the tumour wraps around the organ at risk, e.g. prostate cases and paraspinal cases, the Pareto surface will be largely invariant to the objective function used to model the organ at risk.

Entities:  

Mesh:

Year:  2005        PMID: 16333160     DOI: 10.1088/0031-9155/50/24/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  22 in total

1.  Multicriteria VMAT optimization.

Authors:  David Craft; Dualta McQuaid; Jeremiah Wala; Wei Chen; Ehsan Salari; Thomas Bortfeld
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  Sensitivity analysis for lexicographic ordering in radiation therapy treatment planning.

Authors:  T Long; M Matuszak; M Feng; B A Fraass; R K Ten Haken; H E Romeijn
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

3.  A fast optimization algorithm for multicriteria intensity modulated proton therapy planning.

Authors:  Wei Chen; David Craft; Thomas M Madden; Kewu Zhang; Hanne M Kooy; Gabor T Herman
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

4.  Improving IMRT-plan quality with MLC leaf position refinement post plan optimization.

Authors:  Ying Niu; Guowei Zhang; Barry L Berman; William C Parke; Byongyong Yi; Cedric X Yu
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

5.  Radiotherapy dose distribution prediction for breast cancer using deformable image registration.

Authors:  Xue Bai; Binbing Wang; Shengye Wang; Zhangwen Wu; Chengjun Gou; Qing Hou
Journal:  Biomed Eng Online       Date:  2020-05-29       Impact factor: 2.819

6.  Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

Authors:  Jiahan Zhang; Yaorong Ge; Yang Sheng; Chunhao Wang; Jiang Zhang; Yuan Wu; Qiuwen Wu; Fang-Fang Yin; Q Jackie Wu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-24       Impact factor: 7.038

7.  [Constraint priority list-based multi-objective optimization for intensity-modulated radiation therapy].

Authors:  Yan-Hua Mai; Fan-Tu Kong; Yi-Wei Yang; Yong-Bao Li; Ting Song; Ling-Hong Zhou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-06-20

Review 8.  Treatment planning optimisation in proton therapy.

Authors:  S E McGowan; N G Burnet; A J Lomax
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

9.  The minimum knowledge base for predicting organ-at-risk dose-volume levels and plan-related complications in IMRT planning.

Authors:  Hao H Zhang; Robert R Meyer; Leyuan Shi; Warren D D'Souza
Journal:  Phys Med Biol       Date:  2010-03-12       Impact factor: 3.609

10.  Modeling plan-related clinical complications using machine learning tools in a multiplan IMRT framework.

Authors:  Hao H Zhang; Warren D D'Souza; Leyuan Shi; Robert R Meyer
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-08-01       Impact factor: 7.038

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