Literature DB >> 21401484

A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer.

Peter B Greer1, Jason A Dowling, Jonathon A Lambert, Jurgen Fripp, Joel Parker, James W Denham, Chris Wratten, Anne Capp, Olivier Salvado.   

Abstract

Dose planning for prostate radiation therapy is performed using computed tomography (CT) scans that provide the electron density information needed for individual patients' radiation dose calculations. For visualising the prostate and determining the target volume for radiation treatment, magnetic resonance imaging (MRI) gives vastly superior soft-tissue contrast. However, currently, MRI scans cannot be used for dose planning, as they do not provide the electron density information. We aimed to develop an alternative and efficient MRI-only image-based workflow, enabling both organ delineation and dose planning to be performed using MRI, with "pseudo-CT scans" generated from MRI scans supplying the information for dose planning. The feasibility of implementing MRI-based prostate radiation therapy planning is being investigated through collaboration between the clinical and medical physics group at the Calvary Mater Newcastle Hospital/University of Newcastle and the biomedical imaging processing group at the CSIRO (Commonwealth Scientific and Industrial Research Organisation) Australian e-Health Research Centre. Results comparing Hounsfield units calculated from CT scans and from MRI-based pseudo-CT scans for 39 patients showed very similar average values for the prostate, bladder, bones and rectum, confirming that pseudo-CT scans can replace CT scans for accurate radiation dose calculations. MRI-based radiotherapy planning can also be used for tumours in other locations, such as head and neck, and breast cancers.

Entities:  

Mesh:

Year:  2011        PMID: 21401484     DOI: 10.5694/j.1326-5377.2011.tb02939.x

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  14 in total

Review 1.  The future of image-guided radiotherapy will be MR guided.

Authors:  Julianne M Pollard; Zhifei Wen; Ramaswamy Sadagopan; Jihong Wang; Geoffrey S Ibbott
Journal:  Br J Radiol       Date:  2017-03-29       Impact factor: 3.039

2.  MR simulation for prostate radiation therapy: effect of coil mounting position on image quality.

Authors:  J Sun; P Pichler; J Dowling; F Menk; P Stanwell; J Arm; P B Greer
Journal:  Br J Radiol       Date:  2014-07-25       Impact factor: 3.039

3.  Dosimetric and workflow evaluation of first commercial synthetic CT software for clinical use in pelvis.

Authors:  Neelam Tyagi; Sandra Fontenla; Jing Zhang; Michelle Cloutier; Mo Kadbi; Jim Mechalakos; Michael Zelefsky; Joe Deasy; Margie Hunt
Journal:  Phys Med Biol       Date:  2016-12-16       Impact factor: 3.609

4.  A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy.

Authors:  Lianli Liu; Yue Cao; Jeffrey A Fessler; Shruti Jolly; James M Balter
Journal:  Phys Med Biol       Date:  2015-12-01       Impact factor: 3.609

5.  Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning.

Authors:  Jeremy S Bredfeldt; Lianli Liu; Mary Feng; Yue Cao; James M Balter
Journal:  Phys Med Biol       Date:  2017-03-17       Impact factor: 3.609

6.  Quantitative characterizations of ultrashort echo (UTE) images for supporting air-bone separation in the head.

Authors:  Shu-Hui Hsu; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; David M Grodzki; James M Balter
Journal:  Phys Med Biol       Date:  2015-03-17       Impact factor: 3.609

Review 7.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

8.  Investigation of a method for generating synthetic CT models from MRI scans of the head and neck for radiation therapy.

Authors:  Shu-Hui Hsu; Yue Cao; Ke Huang; Mary Feng; James M Balter
Journal:  Phys Med Biol       Date:  2013-11-11       Impact factor: 3.609

9.  Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy.

Authors:  Eric Paradis; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; Karen Vineberg; James M Balter
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-09-04       Impact factor: 7.038

10.  MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach.

Authors:  Christopher M Rank; Christoph Tremmel; Nora Hünemohr; Armin M Nagel; Oliver Jäkel; Steffen Greilich
Journal:  Radiat Oncol       Date:  2013-03-06       Impact factor: 3.481

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.