Literature DB >> 18406933

Developing quality assurance processes for image-guided adaptive radiation therapy.

Di Yan1.   

Abstract

Quality assurance has long been implemented in radiation treatment as systematic actions necessary to provide adequate confidence that the radiation oncology service will satisfy the given requirements for quality care. The existing reports from the American Association of Physicists in Medicine Task Groups 40 and 53 have provided highly detailed QA guidelines for conventional radiotherapy and treatment planning. However, advanced treatment processes recently developed with emerging high technology have introduced new QA requirements that have not been addressed previously in the conventional QA program. Therefore, it is necessary to expand the existing QA guidelines to also include new considerations. Image-guided adaptive radiation therapy (IGART) is a closed-loop treatment process that is designed to include the individual treatment information, such as patient-specific anatomic variation and delivered dose assessed during the therapy course in treatment evaluation and planning optimization. Clinical implementation of IGART requires high levels of automation in image acquisition, registration, segmentation, treatment dose construction, and adaptive planning optimization, which brings new challenges to the conventional QA program. In this article, clinical QA procedures for IGART are outlined. The discussion focuses on the dynamic or four-dimensional aspects of the IGART process, avoiding overlap with conventional QA guidelines.

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Mesh:

Year:  2008        PMID: 18406933     DOI: 10.1016/j.ijrobp.2007.08.082

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


  6 in total

1.  Analysis of deformable image registration accuracy using computational modeling.

Authors:  Hualiang Zhong; Jinkoo Kim; Indrin J Chetty
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  A simplified method of four-dimensional dose accumulation using the mean patient density representation.

Authors:  Carri K Glide-Hurst; Geoffrey D Hugo; Jian Liang; Di Yan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  The utilization of consistency metrics for error analysis in deformable image registration.

Authors:  Edward T Bender; Wolfgang A Tomé
Journal:  Phys Med Biol       Date:  2009-08-28       Impact factor: 3.609

4.  Intra-fraction setup variability: IR optical localization vs. X-ray imaging in a hypofractionated patient population.

Authors:  Maria Francesca Spadea; Barbara Tagaste; Marco Riboldi; Eleonora Preve; Daniela Alterio; Gaia Piperno; Cristina Garibaldi; Roberto Orecchia; Antonio Pedotti; Guido Baroni
Journal:  Radiat Oncol       Date:  2011-04-15       Impact factor: 3.481

5.  Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

Authors:  Xinmin Liu; Rodney D Wiersma
Journal:  PLoS One       Date:  2019-01-11       Impact factor: 3.240

6.  A framework for deformable image registration validation in radiotherapy clinical applications.

Authors:  Raj Varadhan; Grigorios Karangelis; Karthik Krishnan; Susanta Hui
Journal:  J Appl Clin Med Phys       Date:  2013-01-02       Impact factor: 2.102

  6 in total

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