Literature DB >> 12722806

IMRT dose shaping with regionally variable penalty scheme.

Cristian Cotrutz1, Lei Xing.   

Abstract

A commonly known deficiency of currently available inverse planning systems is the difficulty in fine-tuning the final dose distribution. In practice, it is not uncommon that just a few unsatisfactory regions in the planning target volume or an organ at risk prevent an intensity modulated radiation therapy (IMRT) plan from being clinically acceptable. The purpose of this work is to introduce a mechanism for controlling the regional doses after a conventional IMRT plan is obtained and to demonstrate its clinical utility. Two types of importance factors are introduced in the objective function to model the tradeoffs of different clinical objectives. The first is the conventional structure-dependent importance factor, which quantifies the interstructure tradeoff. The second type is the voxel-dependent importance factor which "modulates" the importance of different voxels within a structure. The planning proceeds in two major steps. First a conventional inverse planning is performed, where the structure-dependent importance factors are determined in a trial-and-error fashion. The next level of planning involves fine-tuning the regional doses to meet specific clinical requirements. To achieve this, the voxels where doses need to be modified are identified either graphically on the isodose layouts, or on the corresponding dose-volume histogram (DVH) curves. The importance value of these voxels is then adjusted to increase/decrease the penalty at the corresponding regions. The technique is applied to two clinical cases. It was found that both tumor hot spots and critical structure maximal doses can be easily controlled by varying the regional penalty. One to three trials were sufficient for the conventionally optimized dose distributions to be adjusted to meet clinical expectation. Thus introducing the voxel-dependent penalty scheme provides an effective means for IMRT dose distributions painting and sculpting.

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Year:  2003        PMID: 12722806     DOI: 10.1118/1.1556610

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


  14 in total

1.  The use of a multiobjective evolutionary algorithm to increase flexibility in the search for better IMRT plans.

Authors:  Clay Holdsworth; Minsun Kim; Jay Liao; Mark Phillips
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  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

3.  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

4.  Automated IMRT planning in Pinnacle : A study in head-and-neck cancer.

Authors:  J M A M Kusters; K Bzdusek; P Kumar; P G M van Kollenburg; M C Kunze-Busch; M Wendling; T Dijkema; J H A M Kaanders
Journal:  Strahlenther Onkol       Date:  2017-08-02       Impact factor: 3.621

5.  [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

6.  How does performance of ultrasound tissue typing affect design of prostate IMRT dose-painting protocols?

Authors:  Pengpeng Zhang; K Sunshine Osterman; Tian Liu; Xiang Li; Jack Kessel; Leester Wu; Peter Schiff; Gerald J Kutcher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-02-01       Impact factor: 7.038

7.  Initial evaluation of automated treatment planning software.

Authors:  Dawn Gintz; Kujtim Latifi; Jimmy Caudell; Benjamin Nelms; Geoffrey Zhang; Eduardo Moros; Vladimir Feygelman
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

8.  An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm.

Authors:  Ting Song; Nan Li; Masoud Zarepisheh; Yongbao Li; Quentin Gautier; Linghong Zhou; Loren Mell; Steve Jiang; Laura Cerviño
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

9.  Automated IMRT planning with regional optimization using planning scripts.

Authors:  Ilma Xhaferllari; Eugene Wong; Karl Bzdusek; Michael Lock; Jeff Chen
Journal:  J Appl Clin Med Phys       Date:  2013-01-07       Impact factor: 2.102

10.  Interactive dose shaping part 1: a new paradigm for IMRT treatment planning.

Authors:  Peter Ziegenhein; Cornelis Ph Kamerling; Uwe Oelfke
Journal:  Phys Med Biol       Date:  2016-03-07       Impact factor: 3.609

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