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EDITORIAL

The promise of adaptive radiotherapy for pelvic tumors: “too high cost for too little result” or “a low cost for a significant result”?

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Pages 939-942 | Received 03 Jun 2016, Accepted 14 Jun 2016, Published online: 01 Jul 2016

References

  • Thornqvist S, Hysing L, Tuomikoski L, et al. Adaptive radiotherapy strategies for pelvic tumours: a systematic review of clinical implementations. Acta Oncol 2016. doi:10.3109/0284186X.2016.1156738.
  • Yan D, Vicini F, Wong J, et al. Adaptive radiation therapy. Phys Med Biol 1997;42:123–32.
  • Van Herk M, Remeijer P, Rasch C, et al. The probability of correct target dosage: Dose-population histograms for deriving treatment margins in radiotherapy. Int J Radiat Oncol Biol Phys 2000;47:1121–35.
  • Stroom JC, De Boer HCJ, Huizenga H, et al. Inclusion of geometrical uncertainties in radiotherapy treatment planning by means of coverage probability. Int J Radiat Oncol Biol Phys 1999;43:905–19.
  • Hafeez S, Warren-Orseni K, McNair H, et al. Prospective study delivering simultaneous integrated high-dose tumor boost (≤70 Gy) with image guided adaptive radiation therapy for radical treatment of localized muscle-invasive bladder cancer. Int J Radiat Oncol Biol Phys 2016;94:1022–30.
  • Vestergard A, Hafeez S, Muren LM, et al. The potential of MRI-guided online adaptive re-optimisation in radiotherapy of urinary bladder cancer. Radiother Oncol 2016;118:154–9.
  • Lutkenhaus LJ, Vestergaard A, Bel A, et al. A biological modeling based comparison of two strategies for adaptive radiotherapy of urinary bladder cancer. Acta Oncol 2016. doi:10.3109/0284186X.2016.1151548.
  • Pötter R, Dimopoulos J, Georg P, et al. Clinical impact of MRI assisted dose volume adaptation and dose escalation in brachytherapy of locally advanced cervix cancer. Radiother Oncol 2007;83:14–155.
  • Passoni P, Fiorino C, Slim N, et al. Feasibility of an adaptive strategy in preoperative radiochemotherapy for rectal cancer with image-guided tomotherapy: boosting the dose to the shrinking tumor. Int J Radiat Oncol Biol Phys 2013;87:67–72.
  • Deutschmann H, Kametriser G, Steininger P, et al. First clinical release of an online, adaptive, aperture-based image-guided radiotherapy strategy in intensity-modulated radiotherapy to correct for inter- and intrafractional rotations of the prostate. Int J Radiat Oncol Biol Phys 2012;83:1624–32.
  • Xia P, Qi P, Hwang A, et al. Comparison of three strategies in management of independent movement of the prostate and pelvic lymph nodes. Med Phys 2010;37:5006–13.
  • Thörnqvist S, Hysing LB, Zolnay AG, et al. Adaptive radiotherapy in locally advanced prostate cancer using a statistical deformable motion model. Acta Oncol 2013;52:1423–9.
  • Thörnqvist S, Hysing LB, Zolnay AG, et al. Treatment simulations with a statistical deformable motion model to evaluate margins for multiple targets in radiotherapy for high-risk prostate cancer. Radiother Oncol 2013;109:344–9.
  • Chai X van Herk M, Hulshof MC, Bel A. A voxel-based finite element model for the prediction of bladder deformation. Med Phys 2012;39:55–65.
  • Langerak T, Heijkoop S, Quint S, et al Towards automatic plan selection for radiotherapy of cervical cancer by fast automatic segmentation of cone beam CT scans. Med Image Comput Comput Assist interv 2014;17:528–535.
  • Poels K, Depuydt T, Verellen D, et al. Improving the intra-fraction update efficiency of a correlation model used for internal motion estimation during real-time tumor tracking for SBRT patients: fast update or no update? Radiother Oncol 2014;112:352–9.
  • Grønborg C, Vestergaard A, Høyer M, et al. Intra-fractional bladder motion and margins in adaptive radiotherapy for urinary bladder cancer. Acta Oncol 2015;54:1461–6.
  • Raso R, Scalco E, Fiorino C, et al. Assessment and clinical validation of margins for adaptive simultaneous integrated boost in neo-adjuvant radiochemotherapy for rectal cancer. Phys Med 2015;31:167–72.
  • Appelt AL, Ploen J, Harling H, et al. High-dose chemoradiotherapy and watchful waiting for distal rectal cancer: a prospective observational study. Lancet Oncol 2016;17:174–83.
  • Radu C, Norrlid O, Brændengen M, et al. Integrated peripheral boost in preoperative radiotherapy for the locally most advanced non-resectable rectal cancer patients. Acta Oncol 2013;52:528–37.
  • Buijsen J, van Stiphout RG, Menheere PP, et al. Blood biomarkers are helpful in the prediction of response to chemoradiation in rectal cancer: A prospective, hypothesis driven study on patients with locally advanced rectal cancer. Radiother Oncol 2014;111:237–42.
  • Valentini V, Van Stiphout RGPM, Lammering G, et al. Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer. Radiother Oncol 2015;114:302–9.
  • Lambregts DMJ, Rao SX, Sassen S, et al. MRI and diffusion-weighted MRI volumetry for identification of complete tumor responders after preoperative chemoradiotherapy in patients with rectal cancer: a bi-institutional validation study. Ann Surg 2015:262;1034–9.

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