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Cobben DC, de Boer HC, Tijssen RH, et al. Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer. Technol Cancer Res Treat. 2015;15(6):NP47-NP60doi: 10.1177/1533034615615249.
Cobben, D. C., de Boer, H. C., Tijssen, R. H., Rutten, E. G., van Vulpen, M., Peerlings, J., Troost, E. G., Hoffmann, A. L., & van Lier, A. L. (2016). Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer. Technology in cancer research & treatment, 15(6), NP47-NP60. https://doi.org/10.1177/1533034615615249
Cobben, David C P, et al. "Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer." Technology in cancer research & treatment vol. 15,6 (2016): NP47-NP60. doi: https://doi.org/10.1177/1533034615615249
Cobben DC, de Boer HC, Tijssen RH, Rutten EG, van Vulpen M, Peerlings J, Troost EG, Hoffmann AL, van Lier AL. Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer. Technol Cancer Res Treat. 2016 Dec;15(6):NP47-NP60. doi: 10.1177/1533034615615249. Epub 2015 Nov 19. PMID: 26589726.
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Technol Cancer Res Treat. 2016 Dec;15(6):NP47-NP60. doi: 10.1177/1533034615615249. Epub 2015 Nov 19.

Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer.

Technology in cancer research & treatment

David C P Cobben, Hans C J de Boer, Rob H Tijssen, Emma G G M Rutten, Marco van Vulpen, Jurgen Peerlings, Esther G C Troost, Aswin L Hoffmann, Astrid L H M W van Lier

Affiliations

  1. Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands [email protected].
  2. Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands.
  3. Department of Radiation Oncology, MAASTRO Clinic, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands.
  4. Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
  5. OncoRay, National Center for Radiation Research in Oncology, Dresden, Germany.
  6. Department of Radiation Oncology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

PMID: 26589726 DOI: 10.1177/1533034615615249

Abstract

Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and allows for specific scanning sequences to optimize differentiation between various tissue types and properties. Moreover, it offers the potential for real-time motion imaging. This makes magnetic resonance imaging an ideal candidate imaging modality for radiation treatment planning in lung cancer. Although the number of clinical research protocols for the application of magnetic resonance imaging for lung cancer treatment is increasing (www.clinicaltrials.gov) and the magnetic resonance imaging sequences are becoming faster, there are still some technical challenges. This review describes the opportunities and challenges of magnetic resonance imaging for radiation treatment planning in lung cancer.

© The Author(s) 2015.

Keywords: MRI; lung cancer; radiation treatment planning

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