Thomas Willigenburg

Part III | Chapter 11 224 References 1. Hales RB, Rodgers J, Whiteside L, McDaid L, Berresford J, Budgell G, et al. Therapeutic Radiographers at the Helm: Moving Towards Radiographer-Led MRGuided Radiotherapy. J Med Imaging Radiat Sci 2020;51:364–72. 2. McNair HA, Joyce E, O’Gara G, Jackson M, Peet B, Huddart RA, et al. Radiographer-led online image guided adaptive radiotherapy: A qualitative investigation of the therapeutic radiographer role. Radiography 2021;27:1085–93. 3. Kerkmeijer LGW, Maspero M, Meijer GJ, van der Voort van Zyp JRN, et al. Magnetic Resonance Imaging only Workflow for Radiotherapy Simulation and Planning in Prostate Cancer. Clin Oncol (R Coll Radiol) 2018;30:692–701. 4. Tyagi N, Fontenla S, Zelefsky M, Chong-Ton M, Ostergren K, Shah N, et al. Clinical workflow for MRonly simulation and planning in prostate. Radiat Oncol 2017;12:119. 5. Shirley B, Baines J. Considerations when introducing MRI into a radiation therapy environment. J Med Radiat Sci 2021:217-9 6. Eccles CL, Campbell M. Keeping Up with the Hybrid Magnetic Resonance Linear Accelerators: How Do Radiation Therapists Stay Current in the Era of Hybrid Technologies? J Med Imaging Radiat Sci 2019;50:195–8. 7. Shepherd M, Graham S, Ward A, Zwart L, Cai B, Shelley C, et al. Pathway for radiation therapists online advanced adapter training and credentialing. Tech Innov Patient Support Radiat Oncol 2021;20:54–60. 8. Bertelsen AS, Schytte T, Møller PK, Mahmood F, et al. First clinical experiences with a high field 1.5 T MR linac. Acta Oncol 2019;58:1352–7. 9. Daamen LA, de Mol van Otterloo SR, van Goor IWJM, Eijkelenkamp H, Erickson BA, Hall WA, et al. Online adaptive MR-guided stereotactic radiotherapy for unresectable malignancies in the upper abdomen using a 1.5 T MR-linac. Acta Oncol 2022;61:111–5. 10. Willigenburg T, de Muinck Keizer DM, Peters M, Claes A, Lagendijk JJW, de Boer HCJ, et al. Evaluation of daily online contour adaptation by radiation therapists for prostate cancer treatment on an MRI-guided linear accelerator. Clin Transl Radiat Oncol 2021;27:50–6. 11. Paulson ES, Ahunbay E, Chen X, Mickevicius NJ, Chen G-P, Schultz C, et al. 4D-MRI driven MR-guided online adaptive radiotherapy for abdominal stereotactic body radiation therapy on a high field MR-Linac: Implementation and initial clinical experience. Clin Transl Radiat Oncol 2020;23:72–9. 12. Tocco BR, Kishan AU, Ma TM, Kerkmeijer LGW, Tree AC. MR-Guided Radiotherapy for Prostate Cancer. Front Oncol 2020;10. 13. Ugurluer G, Atalar B, Zoto Mustafayev T, Gungor G, Aydin G, Sengoz M, et al. Magnetic resonance imageguided adaptive stereotactic body radiotherapy for prostate cancer: preliminary results of outcome and toxicity. Br J Radiol 2021;94:20200696. 14. de Muinck Keizer DM, Kerkmeijer LGW, Willigenburg T, van Lier ALHMW, den Hartogh MD, van der Voort van Zyp JRN, et al. Prostate intrafraction motion during the preparation and delivery of MR-guided radiotherapy sessions. Radiother Oncol 2020;151:88– 94. 15. Pathmanathan AU, van As NJ, Kerkmeijer LGW, Christodouleas J, Lawton CAF, et al. Magnetic Resonance Imaging-Guided Adaptive Radiation Therapy: A “Game Changer” for Prostate Treatment? Int J Radiat Oncol Biol Phys 2018;100:361–73. 16. Caglic I, Hansen NL, Slough RA, Patterson AJ, Barrett T. Evaluating the effect of rectal distension on prostate multiparametric MRI image quality. Eur J Radiol 2017;90:174–80. 17. Nowee ME, van Pelt VWJ, Walraven I, Simões R, Liskamp CP et al. The impact of image acquisition time on registration, delineation and image quality for magnetic resonance guided radiotherapy of prostate cancer patients. Phys Imaging Radiat Oncol 2021;19:85–9. 18. Wong OL, Poon DMC, Kam MKM, Lo GG, Fung WWK, Man SY, et al. 3D-T2W-TSE radiotherapy treatment planning MRI using compressed sensing acceleration for prostate cancer: Image quality and delineation value. Asia Pac J Clin Oncol 2022;1-9. 19. Winkel D, Bol GH, Kroon PS, van Asselen B, Hackett SS, Werensteijn-Honingh AM, et al. Adaptive radiotherapy: the Elekta Unity MR-linac concept. Clin Transl Radiat Oncol 2019;18:54–9. 20. Zachiu C, Denis de Senneville B, Willigenburg T, van der Voort van Zyp JRN, de Boer JCJ, Raaymakers BW, et al. Anatomically-adaptive multi-modal image registration for image-guided external-beam radiotherapy. Phys Med Biol 2020. 21. Kalantar R, Lin G, Winfield JM, Messiou C, Lalondrelle S, Blackledge MD, et al. Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges. Diagnostics 2021;11.

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