Literature DB >> 36128894

The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Rosie J Goodburn1, Marielle E P Philippens2, Thierry L Lefebvre3,4, Aly Khalifa5, Tom Bruijnen2, Joshua N Freedman6, David E J Waddington7, Eyesha Younus8, Eric Aliotta9, Gabriele Meliadò10, Teo Stanescu11, Wajiha Bano1, Ali Fatemi-Ardekani12,13,14, Andreas Wetscherek1, Uwe Oelfke1, Nico van den Berg2, Ralph P Mason15, Petra J van Houdt16, James M Balter17, Oliver J Gurney-Champion18.   

Abstract

Radiation therapy is a major component of cancer treatment pathways worldwide. The main aim of this treatment is to achieve tumor control through the delivery of ionizing radiation while preserving healthy tissues for minimal radiation toxicity. Because radiation therapy relies on accurate localization of the target and surrounding tissues, imaging plays a crucial role throughout the treatment chain. In the treatment planning phase, radiological images are essential for defining target volumes and organs-at-risk, as well as providing elemental composition (e.g., electron density) information for radiation dose calculations. At treatment, onboard imaging informs patient setup and could be used to guide radiation dose placement for sites affected by motion. Imaging is also an important tool for treatment response assessment and treatment plan adaptation. MRI, with its excellent soft tissue contrast and capacity to probe functional tissue properties, holds great untapped potential for transforming treatment paradigms in radiation therapy. The MR in Radiation Therapy ISMRM Study Group was established to provide a forum within the MR community to discuss the unmet needs and fuel opportunities for further advancement of MRI for radiation therapy applications. During the summer of 2021, the study group organized its first virtual workshop, attended by a diverse international group of clinicians, scientists, and clinical physicists, to explore our predictions for the future of MRI in radiation therapy for the next 25 years. This article reviews the main findings from the event and considers the opportunities and challenges of reaching our vision for the future in this expanding field.
© 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  ISMRM workshop; MR; future; radiation therapy

Mesh:

Year:  2022        PMID: 36128894      PMCID: PMC9529952          DOI: 10.1002/mrm.29450

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  170 in total

1.  Geometric distortion characterization and correction for the 1.0 T Australian MRI-linac system using an inverse electromagnetic method.

Authors:  Shanshan Shan; Gary P Liney; Fangfang Tang; Mingyan Li; Yaohui Wang; Huan Ma; Ewald Weber; Amy Walker; Lois Holloway; Qiuliang Wang; Deming Wang; Feng Liu; Stuart Crozier
Journal:  Med Phys       Date:  2020-01-07       Impact factor: 4.071

2.  Accelerated MR-STAT Reconstructions Using Sparse Hessian Approximations.

Authors:  Oscar van der Heide; Alessandro Sbrizzi; Cornelis A T van den Berg
Journal:  IEEE Trans Med Imaging       Date:  2020-10-28       Impact factor: 10.048

3.  Planning, delivery, and quality assurance of intensity-modulated radiotherapy using dynamic multileaf collimator: a strategy for large-scale implementation for the treatment of carcinoma of the prostate.

Authors:  C Burman; C S Chui; G Kutcher; S Leibel; M Zelefsky; T LoSasso; S Spirou; Q Wu; J Yang; J Stein; R Mohan; Z Fuks; C C Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-11-01       Impact factor: 7.038

4.  Bayesian convolutional neural network based MRI brain extraction on nonhuman primates.

Authors:  Gengyan Zhao; Fang Liu; Jonathan A Oler; Mary E Meyerand; Ned H Kalin; Rasmus M Birn
Journal:  Neuroimage       Date:  2018-03-28       Impact factor: 6.556

5.  Dosimetric assessment of an Atlas based automated segmentation for loco-regional radiation therapy of early breast cancer in the Skagen Trial 1: A multi-institutional study.

Authors:  Ahmed R Eldesoky; Giulio Francolini; Mette S Thomsen; Esben S Yates; Tine B Nyeng; Carine Kirkove; Claus Kamby; Egil S Blix; Mette H Nielsen; Zahra Taheri-Kadkhoda; Martin Berg; Birgitte V Offersen
Journal:  Clin Transl Radiat Oncol       Date:  2017-02-06

Review 6.  MR-guidance in clinical reality: current treatment challenges and future perspectives.

Authors:  S Corradini; F Alongi; N Andratschke; C Belka; L Boldrini; F Cellini; J Debus; M Guckenberger; J Hörner-Rieber; F J Lagerwaard; R Mazzola; M A Palacios; M E P Philippens; C P J Raaijmakers; C H J Terhaard; V Valentini; M Niyazi
Journal:  Radiat Oncol       Date:  2019-06-03       Impact factor: 3.481

Review 7.  Adaptive radiotherapy for head and neck cancer.

Authors:  Howard E Morgan; David J Sher
Journal:  Cancers Head Neck       Date:  2020-01-09

8.  Delta radiomics analysis of Magnetic Resonance guided radiotherapy imaging data can enable treatment response prediction in pancreatic cancer.

Authors:  M R Tomaszewski; K Latifi; E Boyer; R F Palm; I El Naqa; E G Moros; S E Hoffe; S A Rosenberg; J M Frakes; R J Gillies
Journal:  Radiat Oncol       Date:  2021-12-15       Impact factor: 3.481

9.  Pan-cancer prediction of radiotherapy benefit using genomic-adjusted radiation dose (GARD): a cohort-based pooled analysis.

Authors:  Jacob G Scott; Geoffrey Sedor; Patrick Ellsworth; Jessica A Scarborough; Kamran A Ahmed; Daniel E Oliver; Steven A Eschrich; Michael W Kattan; Javier F Torres-Roca
Journal:  Lancet Oncol       Date:  2021-08-04       Impact factor: 41.316

Review 10.  Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.

Authors:  Amita Shukla-Dave; Nancy A Obuchowski; Thomas L Chenevert; Sachin Jambawalikar; Lawrence H Schwartz; Dariya Malyarenko; Wei Huang; Susan M Noworolski; Robert J Young; Mark S Shiroishi; Harrison Kim; Catherine Coolens; Hendrik Laue; Caroline Chung; Mark Rosen; Michael Boss; Edward F Jackson
Journal:  J Magn Reson Imaging       Date:  2018-11-19       Impact factor: 5.119

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