Literature DB >> 17327656

IMRT treatment planning based on prioritizing prescription goals.

Jan J Wilkens1, James R Alaly, Konstantin Zakarian, Wade L Thorstad, Joseph O Deasy.   

Abstract

Determining the 'best' optimization parameters in IMRT planning is typically a time-consuming trial-and-error process with no unambiguous termination point. Recently we and others proposed a goal-programming approach which better captures the desired prioritization of dosimetric goals. Here, individual prescription goals are addressed stepwise in their order of priority. In the first step, only the highest order goals are considered (target coverage and dose-limiting normal structures). In subsequent steps, the achievements of the previous steps are turned into hard constraints and lower priority goals are optimized, in turn, subject to higher priority constraints. So-called 'slip' factors were introduced to allow for slight, clinically acceptable violations of the constraints. Focusing on head and neck cases, we present several examples for this planning technique. The main advantages of the new optimization method are (i) its ability to generate plans that meet the clinical goals, as well as possible, without tuning any weighting factors or dose-volume constraints, and (ii) the ability to conveniently include more terms such as fluence map smoothness. Lower level goals can be optimized to the achievable limit without compromising higher order goals. The prioritized prescription-goal planning method allows for a more intuitive and human-time-efficient way of dealing with conflicting goals compared to the conventional trial-and-error method of varying weighting factors and dose-volume constraints.

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Year:  2007        PMID: 17327656     DOI: 10.1088/0031-9155/52/6/009

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


  28 in total

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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

2.  Investigations on parotid gland recovery after IMRT in head and neck tumor patients.

Authors:  Markus Stock; Wolfgang Dörr; Carmen Stromberger; Ulrike Mock; Susanne Koizar; Richard Pötter; Dietmar Georg
Journal:  Strahlenther Onkol       Date:  2010-11-30       Impact factor: 3.621

3.  Toward truly optimal IMRT dose distribution: inverse planning with voxel-specific penalty.

Authors:  Pavel Lougovski; Jordan LeNoach; Lei Zhu; Yunzhi Ma; Yair Censor; Lei Xing
Journal:  Technol Cancer Res Treat       Date:  2010-12

4.  Automating proton treatment planning with beam angle selection using Bayesian optimization.

Authors:  Vicki T Taasti; Linda Hong; Jin Sup Andy Shim; Joseph O Deasy; Masoud Zarepisheh
Journal:  Med Phys       Date:  2020-05-27       Impact factor: 4.071

5.  A novel reduced-order prioritized optimization method for radiation therapy treatment planning.

Authors:  Georgios Kalantzis; Aditya Apte
Journal:  IEEE Trans Biomed Eng       Date:  2014-04       Impact factor: 4.538

6.  Automated intensity modulated treatment planning: The expedited constrained hierarchical optimization (ECHO) system.

Authors:  Masoud Zarepisheh; Linda Hong; Ying Zhou; Jung Hun Oh; James G Mechalakos; Margie A Hunt; Gig S Mageras; Joseph O Deasy
Journal:  Med Phys       Date:  2019-05-29       Impact factor: 4.071

7.  Multicriteria optimization in intensity-modulated radiation therapy treatment planning for locally advanced cancer of the pancreatic head.

Authors:  Theodore S Hong; David L Craft; Fredrik Carlsson; Thomas R Bortfeld
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-11-15       Impact factor: 7.038

8.  Deliverable navigation for multicriteria step and shoot IMRT treatment planning.

Authors:  David Craft; Christian Richter
Journal:  Phys Med Biol       Date:  2012-12-06       Impact factor: 3.609

9.  Reduced-order constrained optimization in IMRT planning.

Authors:  Renzhi Lu; Richard J Radke; Jie Yang; Laura Happersett; Ellen Yorke; Andrew Jackson
Journal:  Phys Med Biol       Date:  2008-11-07       Impact factor: 3.609

10.  Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning.

Authors:  Florian Stieler; Hui Yan; Frank Lohr; Frederik Wenz; Fang-Fang Yin
Journal:  Radiat Oncol       Date:  2009-09-25       Impact factor: 3.481

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