Literature DB >> 16168850

Dose-volume based ranking of incident beam direction and its utility in facilitating IMRT beam placement.

Eduard Schreibmann1, Lei Xing.   

Abstract

PURPOSE: Beam orientation optimization in intensity-modulated radiation therapy (IMRT) is computationally intensive, and various single beam ranking techniques have been proposed to reduce the search space. Up to this point, none of the existing ranking techniques considers the clinically important dose-volume effects of the involved structures, which may lead to clinically irrelevant angular ranking. The purpose of this work is to develop a clinically sensible angular ranking model with incorporation of dose-volume effects and to show its utility for IMRT beam placement. METHODS AND MATERIALS: The general consideration in constructing this angular ranking function is that a beamlet/beam is preferable if it can deliver a higher dose to the target without exceeding the tolerance of the sensitive structures located on the path of the beamlet/beam. In the previously proposed dose-based approach, the beamlets are treated independently and, to compute the maximally deliverable dose to the target volume, the intensity of each beamlet is pushed to its maximum intensity without considering the values of other beamlets. When volumetric structures are involved, the complication arises from the fact that there are numerous dose distributions corresponding to the same dose-volume tolerance. In this situation, the beamlets are not independent and an optimization algorithm is required to find the intensity profile that delivers the maximum target dose while satisfying the volumetric constraints. In this study, the behavior of a volumetric organ was modeled by using the equivalent uniform dose (EUD). A constrained sequential quadratic programming algorithm (CFSQP) was used to find the beam profile that delivers the maximum dose to the target volume without violating the EUD constraint or constraints. To assess the utility of the proposed technique, we planned a head-and-neck and abdominal case with and without the guidance of the angular ranking information. The qualities of the two types of IMRT plans were compared quantitatively.
RESULTS: An effective angular ranking model with consideration of volumetric effect has been developed. It is shown that the previously reported dose-based angular ranking represents a special case of the general formalism proposed here. Application of the technique to a abdominal and a head-and-neck IMRT case indicated that the proposed technique is capable of producing clinically sensible angular ranking. In both cases, we found that the IMRT plans obtained under the guidance of EUD-based angular ranking were improved in comparison with that obtained using the conventional uniformly spaced beams.
CONCLUSIONS: The EUD-based function is a general approach for angular ranking and allows us to identify the potentially good and bad angles for clinically complicated cases. The ranking can be used either as a guidance to facilitate the manual beam placement or as prior information to speed up the computer search for the optimal beam configuration. Thus the proposed technique should have positive clinical impact in facilitating the IMRT planning process.

Mesh:

Year:  2005        PMID: 16168850     DOI: 10.1016/j.ijrobp.2005.06.008

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


  9 in total

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

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Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

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

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6.  A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning.

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7.  A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.

Authors:  Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Steve Jiang; Dan Nguyen
Journal:  Mach Learn Sci Technol       Date:  2021-05-13

8.  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

9.  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 in total

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