Literature DB >> 32074033

Clinical Implementation of Magnetic Resonance Imaging Systems for Simulation and Planning of Pediatric Radiation Therapy.

Chia-Ho Hua1, Jinsoo Uh2, Matthew J Krasin2, John T Lucas2, Christopher L Tinkle2, Sahaja Acharya2, Hanna L Smith2, Mo Kadbi3, Thomas E Merchant2.   

Abstract

AIM: To describe the clinical implementation and optimization of magnetic resonance imaging (MRI) systems installed in a radiation oncology department for dedicated use in radiotherapy (RT) simulation and treatment planning for pediatric patients.
METHODS: Two wide-bore MRI systems were installed and commissioned in 2016. Patient setups, coil placements, and scan protocols were developed to image various anatomic sites in children. Patients with brain tumors were routinely imaged using a pair of flexible loop coils and a posterior receiver coil integrated into the patient couch. The integrated posterior coil and the flexible anterior torso coil supported by the coil bridge were used together when imaging the abdomen, pelvis, or spine. A three-dimensional acquisition was most often performed, given the benefit of high-resolution multiplanar reformation as well as elimination of B0-related distortions in the slice selection direction.
RESULTS: We performed 542 MRI studies (265 for planning and 277 for monitoring on-treatment tumor changes) on pediatric patients in the first year after system installation. Multisequence images of pediatric RT patients with ependymoma, medulloblastoma, craniopharyngioma, rhabdomyosarcoma, or Ewing sarcoma were shown to illustrate the image quality obtainable with optimized planning sequences.
CONCLUSIONS: Magnetic resonance imaging (MRI) of pediatric patients in their treatment positions with setup devices in place can be performed with coil arrangements that include flexible coils. The resulting image quality is suitable for treatment planning and on-treatment monitoring. We provide optimized site-specific sequence parameters to support the continued improvement of MRI for pediatric RT planning.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Year:  2018        PMID: 32074033      PMCID: PMC8802339          DOI: 10.1016/j.jmir.2018.02.054

Source DB:  PubMed          Journal:  J Med Imaging Radiat Sci        ISSN: 1876-7982


  16 in total

1.  Characteristics and quality assurance of a dedicated open 0.23 T MRI for radiation therapy simulation.

Authors:  Dennis Mah; Michael Steckner; Elizabeth Palacio; Raj Mitra; Theresa Richardson; Gerald E Hanks
Journal:  Med Phys       Date:  2002-11       Impact factor: 4.071

Review 2.  Practical body MRI-A paediatric perspective.

Authors:  Oystein E Olsen
Journal:  Eur J Radiol       Date:  2008-09-02       Impact factor: 3.528

Review 3.  MRI simulation for radiotherapy treatment planning.

Authors:  Slobodan Devic
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

4.  Respiration-based sorting of dynamic MRI to derive representative 4D-MRI for radiotherapy planning.

Authors:  Erik Tryggestad; Aaron Flammang; Sarah Han-Oh; Russell Hales; Joseph Herman; Todd McNutt; Teboh Roland; Steven M Shea; John Wong
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

Review 5.  Magnetic resonance imaging acquisition techniques intended to decrease movement artefact in paediatric brain imaging: a systematic review.

Authors:  Julie Woodfield; Susan Kealey
Journal:  Pediatr Radiol       Date:  2015-03-28

6.  On the benefits and risks of proton therapy in pediatric craniopharyngioma.

Authors:  Chris Beltran; Monica Roca; Thomas E Merchant
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-05-11       Impact factor: 7.038

7.  MRI-based treatment planning with pseudo CT generated through atlas registration.

Authors:  Jinsoo Uh; Thomas E Merchant; Yimei Li; Xingyu Li; Chiaho Hua
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

8.  Surveillance of craniopharyngioma cyst growth in children treated with proton radiotherapy.

Authors:  Karen M Winkfield; Claudia Linsenmeier; Torunn I Yock; P Ellen Grant; Beow Y Yeap; William E Butler; Nancy J Tarbell
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-01       Impact factor: 7.038

9.  Abdominal MR imaging in children: motion compensation, sequence optimization, and protocol organization.

Authors:  Govind B Chavhan; Paul S Babyn; Shreyas S Vasanawala
Journal:  Radiographics       Date:  2013-05       Impact factor: 5.333

10.  Online Magnetic Resonance Image Guided Adaptive Radiation Therapy: First Clinical Applications.

Authors:  Sahaja Acharya; Benjamin W Fischer-Valuck; Rojano Kashani; Parag Parikh; Deshan Yang; Tianyu Zhao; Olga Green; Omar Wooten; H Harold Li; Yanle Hu; Vivian Rodriguez; Lindsey Olsen; Clifford Robinson; Jeff Michalski; Sasa Mutic; Jeffrey Olsen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-10-17       Impact factor: 7.038

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  2 in total

Review 1.  Advances in radiotherapy technology for pediatric cancer patients and roles of medical physicists: COG and SIOP Europe perspectives.

Authors:  Chia-Ho Hua; Anthony E Mascia; Enrica Seravalli; Antony J Lomax; Klaus Seiersen; Kenneth Ulin
Journal:  Pediatr Blood Cancer       Date:  2021-05       Impact factor: 3.167

2.  Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT.

Authors:  Chuang Wang; Jinsoo Uh; Thomas E Merchant; Chia-Ho Hua; Sahaja Acharya
Journal:  Int J Part Ther       Date:  2021-06-25
  2 in total

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