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What are the current and future requirements for magnetic resonance imaging interpretation skills in radiotherapy? A critical review

Published online by Cambridge University Press:  17 October 2016

Aston M. Midon
Affiliation:
Directorate of Medical Imaging and Radiotherapy, School of Health Sciences, University of Liverpool, Brownlow Hill, Liverpool, UK
Pete Bridge*
Affiliation:
Directorate of Medical Imaging and Radiotherapy, School of Health Sciences, University of Liverpool, Brownlow Hill, Liverpool, UK
Mark Warren
Affiliation:
Directorate of Medical Imaging and Radiotherapy, School of Health Sciences, University of Liverpool, Brownlow Hill, Liverpool, UK
*
Correspondence to: Pete Bridge, School of Health Sciences, University of Liverpool, Brownlow Hill, Liverpool, L69 3GB, United Kingdom. Tel: 44 0 151 795 8366. E-mail: [email protected]

Abstract

Purpose

Increasing usage of magnetic resonance imaging (MRI) in radiotherapy (RT) and the advent of MRI-based image-guided radiotherapy (IGRT) suggests a need for additional training within the RT profession. This critical review aimed to identify potential gaps in knowledge by evaluating the current skill base in MRI among therapeutic radiographers as evidenced by published research.

Methods

Papers related to MRI usage were retrieved. Topic areas included outlining, planning and IGRT; diagnosis, follow-up and staging-related papers were excluded. After selection and further text analysis, papers were grouped by tumour site and year of publication.

Results

The literature search and filtering resulted in a total of 123 papers, of which 66 were related to ‘outlining’, 37 to ‘planning’ and 20 to ‘IGRT’. The main sites of existing MRI expertise in RT were brain, central nervous system, prostate, and head and neck tumours. Expertise was clearly related to regions where MRI offered improved soft-tissue contrast. MRI studies within RT have been published from 2007 onwards at a steadily increasing rate.

Conclusion

Current use of MRI in RT is mainly restricted to sites where MRI offers a considerable imaging advantage over computed tomography. Given the changing use of MRI for image guidance, emerging therapeutic radiographers will require training in MRI interpretation across a wider range of anatomical regions.

Type
Literature Reviews
Copyright
© Cambridge University Press 2016 

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References

1. Schmidt, M A, Payne, G S. Radiotherapy planning using MRI. Phys Med Biol 2015; 60 (22): R323R361.Google Scholar
2. Dirix, P, Haustermans, K, Vandecaveye, V. The value of magnetic resonance imaging for radiotherapy planning. Semin Radiat Oncol 2014; 24: 151159.Google Scholar
3. Liney, G P, Moerland, M A. Magnetic resonance imaging acquisition techniques for radiotherapy planning. Semin Radiat Oncol 2014; 24 (3): 160168.Google Scholar
4. Djan, I, Petrović, B, Erak, M, Nikolić, I, Lučić, S. Radiotherapy treatment planning: benefits of CT-MR image registration and fusion in tumor volume delineation. Vojnosanit Pregl 2013; 70 (8): 735739.Google Scholar
5. Kupelian, P, Sonke, J-J. Magnetic resonance—guided adaptive radiotherapy: a solution to the future. Semin Radiat Oncol 2014; 24 (3): 227232.CrossRefGoogle ScholarPubMed
6. Lagendijk, J J W, Raaymakers, B W, Raaijmakers, A J E et al. MRI/linac integration. Radiother Oncol 2008; 86 (1): 2529.Google ScholarPubMed
7. Vestergaard, A, Hafeez, S, Muren, L P et al. Adaptive RT in bladder cancer: the potential of MRI-guided online adaptive re-optimisation in radiotherapy of urinary bladder cancer. Radiother Oncol 2016; 118: 154159.Google Scholar
8. Bridge, P, Dempsey, S, Giles, E et al. Practice patterns of radiation therapy technology in Australia: results of a national audit. J Med Radiat Sci 2015; 62 (4): 253258.CrossRefGoogle ScholarPubMed
9. Tsien, C, Cao, Y, Chenevert, T. Clinical applications for diffusion magnetic resonance imaging in radiotherapy. Semin Radiat Oncol 2014; 24 (3): 218226.Google Scholar
10. Villeirs, G M, De Meerleer, G O. Magnetic resonance imaging (MRI) anatomy of the prostate and application of MRI in radiotherapy planning. Eur J Radiol 2007; 63: 361368.Google Scholar
11. Khoo, V S, Padhani, A R, Tanner, S F, Finnigan, D J, Leach, M O, Dearnaley, D P. Comparison of MRI with CT for the radiotherapy planning of prostate cancer: a feasibility study. Br J Radiol 1999; 72 (858): 590597.CrossRefGoogle ScholarPubMed
12. Steenbergen, P, Haustermans, K, Lerut, E et al. Prostate tumor delineation: prostate tumor delineation using multiparametric magnetic resonance imaging: inter-observer variability and pathology validation. Radiother Oncol 2015; 115: 186190.Google Scholar
13. Lips, I M, Heide, U A v d, Haustermans, K et al. Single blind randomized phase III trial to investigate the benefit of a focal lesion ablative microboost in prostate cancer (FLAME-trial): study protocol for a randomized controlled trial. Trials 2011; 12: 255258.Google Scholar
14. Nyholm, T, Jonsson, J. Counterpoint: opportunities and challenges of a magnetic resonance imaging—only radiotherapy work flow. Semin Radiat Oncol 2014; 24 (3): 175180.Google Scholar
15. Dowling, J A, Lambert, J, Parker, J et al. An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. Int J Radiat Oncol Biol Phys 2012; 83 (1): e5e11.CrossRefGoogle ScholarPubMed
16. Group, M S. Diagnostic accuracy of preoperative magnetic resonance imaging in predicting curative resection of rectal cancer: prospective observational study. Br Med J 2006; 333 (7572): 779.Google Scholar
17. Gwynne, S, Mukherjee, S, Webster, R et al. Overview: imaging for target volume delineation in rectal cancer radiotherapy —a systematic review. Clin Oncol 2012; 24: 5263.Google Scholar
18. Khoo, V S, Joon, D L. New developments in Mill for target volume delineation in radiotherapy. Br J Radiol 2006; 79: S2S15.Google Scholar
19. Chung, N N, Ting, L L, Lui, L T, Hsu, W C, Wang, P M. Impact of magnetic resonance imaging versus CT on nasopharyngeal carcinoma: primary tumor target delineation for radiotherapy. Head Neck 2004; 26 (3): 241246.CrossRefGoogle ScholarPubMed
20. Bridge, P, Fielding, A, Pullar, A, Rowntree, P. Development and initial evaluation of a novel 3D volumetric outlining system. J Radiother Pract 2016; 15 (1): 3844.Google Scholar