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Journal of Oncology
Volume 2011 (2011), Article ID 690595, 13 pages
Adaptive Radiation Therapy for Head and Neck Cancer—Can an Old Goal Evolve into a New Standard?
1Department of Radiation Medicine, North Shore-LIJ Health System, 270-05 76th Avenue, New Hyde Park, NY 11040, USA
2Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Unit 94, 1515 Holcombe Blvd., Houston, TX 77030, USA
Received 8 April 2010; Accepted 21 June 2010
Academic Editor: Loren K. Mell
Copyright © 2011 David L. Schwartz and Lei Dong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [17 citations]
The following is the list of published articles that have cited the current article.
- Zhixiang Wu, Jessica B. Doondeea, Amin Moghaddas Gholami, Melanie C. Janning, Simone Lemeer, Karl Kramer, Suzanne A. Eccles, Susanne M. Gollin, Reidar Grenman, Axel Walch, Stephan M. Feller, and Bernhard Kuster, “Quantitative chemical proteomics reveals new potential drug targets in head and neck cancer,” Molecular and Cellular Proteomics, vol. 10, no. 12, 2011.
- Zhixiang Wu, Jessica B. Doondeea, Amin Moghaddas Gholami, Melanie C. Janning, Simone Lemeer, Karl Kramer, Suzanne A. Eccles, Susanne M. Gollin, Reidar Grenman, Axel Walch, and Bernhard Kuster, “Quantitative Chemical Proteomics Reveals New Potential Drug Targets in Head and Neck Cancer,” Molecular & Cellular Proteomics, vol. 10, no. 12, 2011.
- J. Pukala, S. L. Meeks, F. J. Bova, and K. M. Langen, “The effect of temporal HU variations on the uncertainty of dose recalculati ons performed on MVCT images,” Physics in Medicine and Biology, vol. 56, no. 24, pp. 7829–7841, 2011.
- Petter Risholm, James Balter, and William M. Wells, “Estimation of delivered dose in radiotherapy: The influence of registration uncertainty,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6891, no. 1, pp. 548–555, 2011.
- S. W. Loo, W. M. C. Martin, P. Smith, S. Cherian, and T. W. Roques, “Interobserver variation in parotid gland delineation: a study of its impact on intensity-modulated radiotherapy solutions with a systematic review of the literature,” British Journal of Radiology, vol. 85, no. 1016, pp. 1070–1077, 2012.
- Vincent Grégoire, Robert Jeraj, John Aldo Lee, and Brian O’Sullivan, “Radiotherapy for head and neck tumours in 2012 and beyond: conformal, tailored, and adaptive?,” The Lancet Oncology, vol. 13, no. 7, pp. e292–e300, 2012.
- Marta Peroni, Delia Ciardo, Maria Francesca Spadea, Marco Riboldi, Stefania Comi, Daniela Alterio, Guido Baroni, and Roberto Orecchia, “Automatic Segmentation and Online virtualCT in Head-and-Neck Adaptive Radiation Therapy,” International Journal of Radiation Oncology*Biology*Physics, vol. 84, no. 3, pp. e427–e433, 2012.
- Mika Kapanen, Marko Laaksomaa, Tapio Tulijoki, Seppo Peltola, Tuija Wigren, Simo Hyodynmaa, and Pirkko-Liisa Kellokumpu-Lehtinen, “Estimation of adequate setup margins and threshold for position errors requiring immediate attention in head and neck cancer radiotherapy based on 2D image guidance,” Radiation Oncology, vol. 8, 2013.
- D. Ciardo, M. Peroni, M. Riboldi, D. Alterio, G. Baroni, and R. Orecchia, “The Role of Regularization in Deformable Image Registration for Head and Neck Adaptive Radiotherapy,” Technology in Cancer Research & Treatment, vol. 12, no. 4, pp. 323–331, 2013.
- Xiance Jin, Ce Han, Yongqiang Zhou, Jinling Yi, Huawei Yan, and Congying Xie, “A modified VMAT adaptive radiotherapy for nasopharyngeal cancer patients based on CT-CT image fusion,” Radiation Oncology, vol. 8, 2013.
- Elizabeth Brown, Rebecca Owen, Kerrie Mengersen, Fiona Harden, and Sandro Porceddu, “Evaluating the dosimetric effect of treatment-induced changes in virally mediated head and neck cancer patients,” Journal of Medical Radiation Sciences, 2013.
- Jason Pukala, Sanford L. Meeks, Robert J. Staton, Frank J. Bova, Rafael R. Mañon, and Katja M. Langen, “A virtual phantom library for the quantification of deformable image registration uncertainties in patients with cancers of the head and neck,” Medical Physics, vol. 40, no. 11, pp. 111703, 2013.
- Adam D. Yock, Arvind Rao, Lei Dong, Beth M. Beadle, Adam S. Garden, Rajat J. Kudchadker, and Laurence E. Court, “Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models,” Medical Physics, vol. 41, no. 5, pp. 051705, 2014.
- Catarina Veiga, Jamie McClelland, Syed Moinuddin, Ana Lourenço, Kate Ricketts, James Annkah, Marc Modat, Sébastien Ourselin, Derek D’Souza, and Gary Royle, “Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for “dose of the day” calculations,” Medical Physics, vol. 41, no. 3, pp. 031703, 2014.
- R Speight, E Karakaya, R Prestwich, M Sen, R Lindsay, R Harding, and J Sykes, “Evaluation of atlas based auto-segmentation for head and neck target volume delineation in adaptive/replan IMRT,” Journal of Physics: Conference Series, vol. 489, pp. 012060, 2014.
- C Yip, C Thomas, A Michaelidou, D James, R Lynn, M Lei, and T Guerrero Urbano, “Co-registration of cone beam CT and planning CT in head and neck IMRT dose estimation: a feasible adaptive radiotherapy strategy,” The British Journal of Radiology, vol. 87, no. 1034, pp. 20130532, 2014.
- Sarah O. S. Osman, Eleftheria Astreinidou, Peter C. Levendag, and Ben J. M. Heijmen, “Impact of geometric variations on delivered dose in highly focused single vocal cord IMRT,” Acta Oncologica, vol. 53, no. 2, pp. 278–285, 2014.