Literature DB >> 31515022

Comparison of two beam angular optimization algorithms guided by automated multicriterial IMRT.

Tiago Ventura1, Humberto Rocha2, Brigida da Costa Ferreira3, Joana Dias4, Maria do Carmo Lopes5.   

Abstract

PURPOSE: To compare two beam angle optimization (BAO) algorithms for coplanar and non-coplanar geometries in a multicriterial optimization framework.
METHODS: 40 nasopharynx patients were selected for this retrospective planning study. IMRT optimized plans were produced by Erasmus-iCycle multicriterial optimization platform. Two different algorithms, based on a discrete and on a continuous exploration of the space search, algorithm i and B respectively, were used to address BAO. Plan quality evaluation and comparison were performed with SPIDERplan. Statistically significant differences between the plans were also assessed.
RESULTS: For plans using only coplanar incidences, the optimized beam distribution with algorithm i is more asymmetric than with algorithm B. For non-coplanar beam optimization, larger deviations from coplanarity were obtained with algorithm i than with algorithm B. Globally, both algorithms presented near equivalent plan quality scores, with algorithm B presenting a marginally better performance than algorithm i.
CONCLUSION: Almost all plans presented high quality, profiting from multicriterial and beam angular optimization. Although there were not significant differences when average results over the entire sample were considered, a case-by-case analysis revealed important differences for some patients.
Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Beam angular optimization; Multicriteria optimization; Plan quality assessment

Mesh:

Year:  2019        PMID: 31515022     DOI: 10.1016/j.ejmp.2019.07.012

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  4 in total

1.  Comparison of non-coplanar optimization of static beams and arc trajectories for intensity-modulated treatments of meningioma cases.

Authors:  Tiago Ventura; Humberto Rocha; Brigida da Costa Ferreira; Joana Dias; Maria do Carmo Lopes
Journal:  Phys Eng Sci Med       Date:  2021-10-07

2.  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

3.  Clinical validation of a graphical method for radiation therapy plan quality assessment.

Authors:  Tiago Ventura; Joana Dias; Leila Khouri; Eduardo Netto; André Soares; Brigida da Costa Ferreira; Humberto Rocha; Maria do Carmo Lopes
Journal:  Radiat Oncol       Date:  2020-03-12       Impact factor: 3.481

4.  Assessing the need for adaptive radiotherapy in head and neck cancer patients using an automatic planning tool.

Authors:  Natália Alves; Joana Matos Dias; Humberto Rocha; Tiago Ventura; Josefina Mateus; Miguel Capela; Leila Khouri; Maria do Carmo Lopes
Journal:  Rep Pract Oncol Radiother       Date:  2021-06-09
  4 in total

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