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Original Articles: Radiotherapy

Accuracy of automatic structure propagation for daily magnetic resonance image-guided head and neck radiotherapy

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 589-597 | Received 29 Oct 2020, Accepted 11 Feb 2021, Published online: 10 Mar 2021

References

  • Barker JL, Jr., 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(4):960–970.
  • 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(2):355–362.
  • Brouwer CL, Steenbakkers RJHM, Langendijk JA, et al. Identifying patients who may benefit from adaptive radiotherapy: does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help? Radiother Oncol. 2015;115(3):285–294.
  • Brouwer CL, Steenbakkers RJ, van der Schaaf A, et al. Selection of head and neck cancer patients for adaptive radiotherapy to decrease xerostomia. Radiother Oncol. 2016;120(1):36–40.
  • Franco P, Martini S, Di Muzio J, et al. Prospective assessment of oral mucositis and its impact on quality of life and patient-reported outcomes during radiotherapy for head and neck cancer. Med Oncol. 2017;34(5):81.
  • Hansen CR, Bertelsen A, Zukauskaite R, et al. Prediction of radiation-induced mucositis of H&N cancer patients based on a large patient cohort. Radiother Oncol. 2020;147:15–21.
  • Jabbari S, Kim HM, Feng M, et al. Matched case-control study of quality of life and xerostomia after intensity-modulated radiotherapy or standard radiotherapy for head-and-neck cancer: initial report. Int J Radiat Oncol Biol Phys. 2005;63(3):725–731.
  • Nishi T, Nishimura Y, Shibata T, et al. Volume and dosimetric changes and initial clinical experience of a two-step adaptive intensity modulated radiation therapy (IMRT) scheme for head and neck cancer. Radiother Oncol. 2013;106(1):85–89.
  • Pow EH, Kwong DL, McMillan AS, et al. Xerostomia and quality of life after intensity-modulated radiotherapy vs. conventional radiotherapy for early-stage nasopharyngeal carcinoma: initial report on a randomized controlled clinical trial. Int J Radiat Oncol Biol Phys. 2006;66(4):981–991.
  • Xie CY, Su HF, Li WF, et al. The effect on life quality of nasopharyngeal cancer patients through xerostomia decrease after intensity-modulated radiotherapy. Zhonghua Yi Xue Za Zhi. 2010;90:1313–1316.
  • Jensen AD, Nill S, Huber PE, et al. A clinical concept for interfractional adaptive radiation therapy in the treatment of head and neck cancer. Int J Radiat Oncol Biol Phys. 2012;82(2):590–596.
  • Castelli J, Simon A, Louvel G, et al. Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia. Radiat Oncol. 2015;10(1):6.
  • Mutic S, Dempsey JF. The ViewRay system: magnetic resonance-guided and controlled radiotherapy. Semin Radiat Oncol. 2014;24(3):196–199.
  • Raaymakers BW, Jurgenliemk-Schulz IM, Bol GH, et al. First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment. Phys Med Biol. 2017;62(23):L41–L50.
  • Bertelsen AS, Schytte T, Moller PK, et al. First clinical experiences with a high field 1.5 T MR linac. Acta Oncol. 2019;58(10):1352–1357.
  • Anderson CM, Sun W, Buatti JM, et al. Interobserver and intermodality variability in GTV delineation on simulation CT, FDG-PET, and MR images of head and neck cancer. Jacobs J Radiat Oncol. 2014;1:006.
  • Mukesh M, Benson R, Jena R, et al. Interobserver variation in clinical target volume and organs at risk segmentation in post-parotidectomy radiotherapy: can segmentation protocols help? Br J Radiol. 2012;85(1016):e530–e536.
  • Bekelman JE, Wolden S, Lee N. Head-and-neck target delineation among radiation oncology residents after a teaching intervention: a prospective, blinded pilot study. Int J Radiat Oncol Biol Phys. 2009;73(2):416–423.
  • Breen SL, Publicover J, De Silva S, et al. Intraobserver and interobserver variability in GTV delineation on FDG-PET-CT images of head and neck cancers. Int J Radiat Oncol Biol Phys. 2007;68(3):763–770.
  • Christiansen RL, Dysager L, Bertelsen AS, et al. Accuracy of automatic deformable structure propagation for high-field MRI guided prostate radiotherapy. Radiat Oncol. 2020;15(1):32.
  • Wang ZH, Yan C, Zhang ZY, et al. Radiation-induced volume changes in parotid and submandibular glands in patients with head and neck cancer receiving postoperative radiotherapy: a longitudinal study. Laryngoscope. 2009;119(10):1966–1974.
  • Hansen CR, Johansen J, Samsoe E, et al. Consequences of introducing geometric GTV to CTV margin expansion in DAHANCA contouring guidelines for head and neck radiotherapy. Radiother Oncol. 2018;126(1):43–47.
  • Hansen CR, Bertelsen A, Hazell I, et al. Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans. Clin Transl Radiat Oncol. 2016;1:2–8.
  • Elekta AB and CMS software. ABAS: intra-patient deformable image registration for adaptive radiotherapy – a white paper. 2014. Obtained via personal communication.
  • van Herk M. Errors and margins in radiotherapy. Semin Radiat Oncol. 2004;14(1):52–64.
  • Hansen CR, Christiansen RL, Nielsen TB, et al. Comparison of three immobilisation systems for radiation therapy in head and neck cancer. Acta Oncol. 2014;53(3):423–427.
  • Dice LR. Measures of the amount of ecologic association between species. Ecology. 1945;26(3):297–302.
  • Vinod SK, Min M, Jameson MG, et al. A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology. J Med Imaging Radiat Oncol. 2016;60(3):393–406.
  • Zukauskaite R, Brink C, Hansen CR, et al. Open source deformable image registration system for treatment planning and recurrence CT scans: validation in the head and neck region. Strahlenther Onkol. 2016;192(8):545–551.
  • Dai YL, King AD. State of the art MRI in head and neck cancer. Clin Radiol. 2018;73(1):45–59.
  • Schakel T, Peltenburg B, Dankbaar J-W, et al. Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose positron emission tomography. Phys Imaging Radiat Oncol. 2018;5:13–18.
  • Apolle R, Appold S, Bijl HP, et al. Inter-observer variability in target delineation increases during adaptive treatment of head-and-neck and lung cancer. Acta Oncol. 2019;58(10):1378–1385.

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