Literature DB >> 11728698

Pseudo beam's-eye-view as applied to beam orientation selection in intensity-modulated radiation therapy.

A Pugachev1, L Xing.   

Abstract

PURPOSE: To introduce the concept of pseudo beam's-eye-view (pBEV), to establish a framework for computer-assisted beam orientation selection in intensity-modulated radiation therapy (IMRT), and to evaluate the utility of the proposed technique. METHODS AND MATERIALS: To facilitate the selection of beam orientations for IMRT treatment planning, a scoring of beam direction was introduced. The score function was based on the maximum target dose deliverable by the beam without exceeding the tolerance doses of the critical structures. For the score function calculation, the beam portal at given gantry and couch angles was divided into a grid of beamlets. Each beamlet crossing the target was assigned the maximum intensity that could be used without exceeding the dose tolerances of the organs at risk (OARs) and normal tissue. Thereafter, a score was assigned to the beam according to the target dose delivered. The beams for the treatment were selected among those with the highest scores. In a sense, this technique is similar to the beam's-eye-view approach used in conventional radiation therapy, except that the evaluation by a human is replaced by a score function, and beam modulation is taken into account.
RESULTS: The pBEV technique was tested on two clinical cases: a paraspinal treatment and a nasopharyngeal cancer with both coplanar and noncoplanar beam configurations. The plans generated under the guidance of pBEV for the paraspinal treatment offered superior target dose uniformity and reduced OAR doses. For the nasopharyngeal cancer case, it was also found that the pBEV-selected coplanar and noncoplanar beams significantly improved the target coverage without compromising the sparing of the OARs.
CONCLUSIONS: The pBEV technique developed in this work provides a comprehensive tool for beam orientation selection in IMRT. It is especially valuable for complicated cases, where the target is surrounded by several sensitive structures and where it is difficult to select a set of good beam orientations. The pBEV technique has considerable potential for simplifying the IMRT treatment planning process and for maximizing the technical capacity of IMRT.

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Mesh:

Year:  2001        PMID: 11728698     DOI: 10.1016/s0360-3016(01)01736-9

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  9 in total

1.  Design and development of a new micro-beam treatment planning system: effectiveness of algorithms of optimization and dose calculations and potential of micro-beam treatment.

Authors:  Hidenobu Tachibana; Hiroyuki Kojima; Noritaka Yusa; Satoshi Miyajima; Akihisa Tsuda; Takashi Yamashita
Journal:  Radiol Phys Technol       Date:  2012-04-29

2.  Inverse planning for four-dimensional (4D) volumetric modulated arc therapy.

Authors:  Yunzhi Ma; Daniel Chang; Paul Keall; Yiaoqin Xie; Jae-yoon Park; Tae-suk Suh; Lei Xing
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  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

4.  An adaptive planning strategy for station parameter optimized radiation therapy (SPORT): Segmentally boosted VMAT.

Authors:  Ruijiang Li; Lei Xing
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

5.  Nonisocentric treatment strategy for breast radiation therapy: a proof of concept study.

Authors:  Ruijiang Li; Lei Xing; Kathleen C Horst; Karl Bush
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-03-15       Impact factor: 7.038

6.  Automated population-based planning for whole brain radiation therapy.

Authors:  Eduard Schreibmann; Tim Fox; Walter Curran; Hui-Kuo Shu; Ian Crocker
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

7.  Planning quality and delivery efficiency of sMLC delivered IMRT treatment of oropharyngeal cancers evaluated by RTOG H-0022 dosimetric criteria.

Authors:  X Ronald Zhu; Christopher J Schultz; Michael T Gillin
Journal:  J Appl Clin Med Phys       Date:  2004-10-01       Impact factor: 2.102

8.  Prior-knowledge treatment planning for volumetric arc therapy using feature-based database mining.

Authors:  Eduard Schreibmann; Tim Fox
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

9.  The Scatter Search Based Algorithm for Beam Angle Optimization in Intensity-Modulated Radiation Therapy.

Authors:  Ali Ghanbarzadeh; Majid Pouladian; Ali Shabestani Monfared; Seied Rabi Mahdavi
Journal:  Comput Math Methods Med       Date:  2018-06-03       Impact factor: 2.238

  9 in total

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