Skip to main content
Log in

MRI-guided radiotherapy for head and neck cancer: initial clinical experience

  • Research Article
  • Published:
Clinical and Translational Oncology Aims and scope Submit manuscript

Abstract

Purpose

To report a single-institutional experience with the use of magnetic resonance imaging (MRI)-guided radiotherapy for cancers of the head and neck.

Materials and methods

Between October 2014 and October 2016, 18 patients with newly diagnosed cancers of the head and neck were prospectively enrolled on an institutional registry trial investigating the feasibility and efficacy of external-beam radiotherapy delivered using on-board MRI. All patients had biopsy-proven evidence of malignancy, measurable disease, and the ability to provide consent. None had previously received any treatment. Median dose was 70 Gy (range 54–70 Gy). MRI scans were obtained as part of an image-guided registration protocol for alignment prior to and during each treatment. Concurrent chemotherapy was administered to 14 patients (78%). Patient-reported outcomes were assessed using the University of Washington quality of life instrument.

Results

Seventeen of 18 patients completed the planned intensity-modulated radiotherapy (IMRT) treatment of which 15 (83%) had a complete response and 2 (11%) had a partial response based on initial post-therapy positron emission tomography (PET) at 3 months. The 1-year estimates of progression-free survival, overall survival, and local–regional control were 95, 96, and 95%, respectively. There were no treatment-related fatalities. The incidence of grade 3+ acute toxicity was 44%. The proportion of patients rating their health-related quality of life as “very good” or “outstanding” at 6 months and 1 year after completion of radiation therapy was 60 and 70%, respectively.

Conclusions

MRI-guided radiotherapy achieves clinical outcomes comparable to contemporary series reporting on IMRT for head and neck cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Bostel T, Nicolay NH, Grossman JG, et al. MR-guidance—a clinical study to evaluate a shuttle-based MR-linac connection to provide MR-guided radiotherapy. Radiat Oncol. 2014;9:12.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Edge SB, Byrd DR, Compton CC, Fritz AG, Greene FL, Trotti A, editors. American Joint Committee on Cancer staging manual. 7th ed. France: Springer; 2010.

    Google Scholar 

  3. Hu Y, Rankine L, Green OL, et al. Characterization of the onboard imaging unit for the first clinical magnetic resonance image guided radiation therapy system. Med Phys. 2015;42:5828–37.

    Article  PubMed  Google Scholar 

  4. Li HH, Rodriquez V, Green OL, et al. Patient-specific quality assurance for the delivery of (60)Co intensity-modulated radiation therapy subject to a 0.35 T-lateral magnetic field. Int J Radiat Oncol Biol Phys. 2015;91:65–72.

    Article  CAS  PubMed  Google Scholar 

  5. Wooten HO, Rodriquez V, Green O, et al. Benchmark IMRT evaluation of a Co-60 MRI guided radiation therapy system. Radiother Oncol. 2015;114:402–5.

    Article  PubMed  Google Scholar 

  6. Yang Y, Cao M, Sheng K, et al. Longitudinal diffusion MRI for treatment response assessment: preliminary experience using an MRI-guided tri-cobalt 60 radiotherapy system. Med Phys. 2016;43:1369–73.

    Article  PubMed  Google Scholar 

  7. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumors: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.

    Article  CAS  PubMed  Google Scholar 

  8. US Department of Health and Human Services, National Institutes of Health, National Cancer Institute. Common Terminology Criteria for Adverse Events (CTCAE) Version 4.03. http://evs.nci.nih.gov/ftp1/CTCAE/CTCAE_4.03_2010-06-14_QuickReference_5x7.pdf. Accessed 3 Jan 2016. (updated June 14, 2010).

  9. Hassan SJ, Weymuller EA. Assessment of quality of life in head and neck cancer patients. Head Neck. 1993;15:485–96.

    Article  CAS  PubMed  Google Scholar 

  10. Wooten HO, Green O, Yang M, et al. Quality of intensity-modulated radiation therapy treatment plans using a 60-cobalt magnetic resonance imaging guidance therapy system. Int J Radiat Oncol Biol Phys. 2015;92:771–8.

    Article  PubMed  Google Scholar 

  11. Chao KS, Ozyigit G, Tran BN, Cengiz M, Dempsey JF, Low DA. Patterns of failure in patients receiving definitive and postoperative IMRT for head and neck cancer. Int J Radiat Oncol Biol Phys. 2003;55:312–21.

    Article  PubMed  Google Scholar 

  12. Lee N, Xia P, Fischbein NJ, et al. Intensity-modulated radiation therapy for head-and-neck cancer: the UCSF experience focusing on target volume delineation. Int J Radiat Oncol Biol Phys. 2003;57:49–60.

    Article  PubMed  Google Scholar 

  13. Yao M, Dornfeld KJ, Buatti JM, et al. Intensity-modulated radiation treatment for head-and-neck squamous cell carcinoma—the University of Iowa experience. Int J Radiat Oncol Biol Phys. 2005;63:410–21.

    Article  PubMed  Google Scholar 

  14. Chin AL, Lin A, Anamalayil S, Teo BK. Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning. J Appl Clin Med Phys. 2014;15:15.

    Article  Google Scholar 

  15. Karotki A, Mah K, Meijer G, Meltsner M. Comparison of bulk electron density and voxel-based electron density treatment planning. J Appl Clin Med Phys. 2011;12:3522.

    Article  PubMed  Google Scholar 

  16. Weygand J, Fuller CD, Ibbot GS, et al. Spatial precision in magnetic resonance imaging-guided radiation therapy: the role of geometric distortion. Int J Radiat Oncol Biol Phys. 2016;95:1304–16.

    Article  PubMed  Google Scholar 

  17. Liao XB, Mao YP, Liu LZ, et al. How does magnetic resonance imaging influence staging according to AJCC staging system for nasopharyngeal carcinoma compared with computed tomography? Int J Radiat Oncol Biol Phys. 2008;72:1368–77.

    Article  PubMed  Google Scholar 

  18. Hansen EK, Bucci MK, Quivey JM, et al. Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2006;64:355–62.

    Article  PubMed  Google Scholar 

  19. Barker JL, Garden AS, Ang KK, et al. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system. Int J Radiat Oncol Biol Phys. 2004;59:960–70.

    Article  PubMed  Google Scholar 

  20. Rwigema JC, Thomas DH, Cao M, Yoshizaki T, Chen AM. Intrafraction organ motion tracking with real-time MRI-guided radiation therapy for head and neck cancer. Int J Radiat Oncol Biol Phys. 2016;94(4):878.

    Article  Google Scholar 

  21. Schouten CS, de Graaf P, Alberts FM, et al. Response evaluation after chemoradiotherapy for advanced nodal disease in head and neck cancer using diffusion-weighted MRI and 18F-FDG-PET-CT. Oral Oncol. 2015;51:541–7.

    Article  PubMed  Google Scholar 

  22. Chen Y, Liu X, Zheng D, et al. Diffusion weighted magnetic resonance imaging for early response assessment of chemoradiotherapy in patients with nasopharyngeal carcinoma. Magn Reson Imaging. 2014;32:630–7.

    Article  CAS  PubMed  Google Scholar 

  23. Matoba M, Tuji H, Shimode Y, et al. Fractional change in apparent diffusion coefficient as an imaging biomarker for predicting treatment response in head and neck cancer treated with chemoradiotherapy. AJNR Am J Neurodiol. 2014;35:379–85.

    Article  CAS  Google Scholar 

  24. Chen AM, Daly ME, Cui J, Mathai M, Benedict S, Purdy JA. Clinical outcomes among patients with head and neck cancer treated by intensity-modulated radiotherapy with and without adaptive replanning. Head Neck. 2014;36:1541–6.

    Article  PubMed  Google Scholar 

  25. Schwartz DL, Garden AS, Thomas J, et al. Adaptive radiotherapy for head-and-neck cancer: initial clinical outcomes from a prospective trial. Int J Radiat Oncol Biol Phys. 2012;83:986–93.

    Article  PubMed  Google Scholar 

  26. Raghavan G, Kishan AU, Cao M, Chen AM. Anatomic and dosimetric changes in patients with head and neck cancer treated with an integrated MRI-tri-60Co teletherapy device. Br J Radiol. 2016;89:20160624.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. M. Chen.

Ethics declarations

Conflict of interest

Dr. Michael Steinberg serves on the scientific advisory board for Viewray, Inc. Drs. Yingli Yang and Minsong Cao have received honorariums from Viewray, Inc. There are no other potential conflicts of interest to report.

Ethical approval

Institutional review board approval was obtained for research involving human subjects.

Informed consent

Informed consent was obtained from all patients on this study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, A.M., Hsu, S., Lamb, J. et al. MRI-guided radiotherapy for head and neck cancer: initial clinical experience. Clin Transl Oncol 20, 160–168 (2018). https://doi.org/10.1007/s12094-017-1704-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12094-017-1704-4

Keywords

Navigation