J. Castelli, The role of imaging in adaptive radiotherapy for head and neck cancer, IRBM, vol.35, issue.1, pp.33-40, 2014.
DOI : 10.1016/j.irbm.2013.12.003

T. Stanescu, H. Jans, N. Pervez, P. Stavrev, and B. Fallone, A study on the magnetic resonance imaging (MRI)-based radiation treatment planning of intracranial lesions, Physics in Medicine and Biology, vol.53, issue.13, pp.3579-93, 2008.
DOI : 10.1088/0031-9155/53/13/013

P. Freyhardt, T. Hartwig, D. Bucourt, M. Maurer, M. Renz et al., MR-guided facet joint injection therapy using an open 1.0-T MRI system: an outcome study, European Radiology, vol.15, issue.12, 2013.
DOI : 10.1097/00007632-199008010-00008

T. Van-heijst, M. Hartogh, J. Lagendijk, H. Van-den-bongard, and B. Van-asselen, MR-guided breast radiotherapy: feasibility and magnetic-field impact on skin dose, Physics in Medicine and Biology, vol.58, issue.17, pp.5917-5947, 2013.
DOI : 10.1088/0031-9155/58/17/5917

G. Kubicek, C. Champ, S. Fogh, F. Wang, E. Reddy et al., FDG-PET staging and importance of lymph node SUV in head and neck cancer, Head & Neck Oncology, vol.2, issue.1, p.19, 2010.
DOI : 10.1186/1758-3284-2-19

X. Geets, J. Daisne, M. Tomsej, T. Duprez, M. Lonneux et al., Impact of the type of imaging modality on target volumes delineation and dose distribution in pharyngo-laryngeal squamous cell carcinoma: comparison between pre- and per-treatment studies, Radiotherapy and Oncology, vol.78, issue.3, pp.291-298, 2006.
DOI : 10.1016/j.radonc.2006.01.006

J. Daisne, T. Duprez, B. Weynand, M. Lonneux, M. Hamoir et al., Tumor Volume in Pharyngolaryngeal Squamous Cell Carcinoma: Comparison at CT, MR Imaging, and FDG PET and Validation with Surgical Specimen, Radiology, vol.233, issue.1, pp.93-100, 2004.
DOI : 10.1148/radiol.2331030660

A. Riegel, A. Berson, S. Destian, T. Ng, L. Tena et al., Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET/CT fusion, International Journal of Radiation Oncology*Biology*Physics, vol.65, issue.3, pp.726-758, 2006.
DOI : 10.1016/j.ijrobp.2006.01.014

A. Paulino, M. Koshy, R. Howell, D. Schuster, and L. Davis, Comparison of CT- and FDG-PET-defined gross tumor volume in intensity-modulated radiotherapy for head-and-neck cancer, International Journal of Radiation Oncology*Biology*Physics, vol.61, issue.5, pp.1385-92, 2005.
DOI : 10.1016/j.ijrobp.2004.08.037

R. Hong, J. Halama, D. Bova, A. Sethi, and B. Emami, Correlation of PET standard uptake value and CT window-level thresholds for target delineation in CT-based radiation treatment planning, International Journal of Radiation Oncology*Biology*Physics, vol.67, issue.3, pp.720-726, 2007.
DOI : 10.1016/j.ijrobp.2006.09.039

L. Perez-romasanta, M. Bellon-guardia, J. Torres-donaire, E. Lozano-martin, M. Sanz-martin et al., Tumor volume delineation in head and neck cancer with 18-fluor-fluorodeoxiglucose positron emission tomography: adaptive thresholding method applied to primary tumors and metastatic lymph nodes, Clinical and Translational Oncology, vol.97, issue.4, pp.283-93, 2013.
DOI : 10.1016/j.radonc.2010.04.025

B. Henriques-de-figueiredo, O. Barret, H. Demeaux, P. Lagarde, E. De-mones-del-pujol et al., Comparison between CT- and FDG-PET-defined target volumes for radiotherapy planning in head-and-neck cancers, Radiotherapy and Oncology, vol.93, issue.3, pp.479-82, 2009.
DOI : 10.1016/j.radonc.2009.09.010

H. Li, X. Zhu, L. Zhang, L. Dong, S. Tung et al., Comparison of 2D Radiographic Images and 3D Cone Beam Computed Tomography for Positioning Head-and-Neck Radiotherapy Patients, International Journal of Radiation Oncology*Biology*Physics, vol.71, issue.3, pp.916-941, 2008.
DOI : 10.1016/j.ijrobp.2008.01.008

S. Van-kranen, S. Van-beek, C. Rasch, M. Van-herk, and J. Sonke, Setup Uncertainties of Anatomical Sub-Regions in Head-and-Neck Cancer Patients After Offline CBCT Guidance, International Journal of Radiation Oncology*Biology*Physics, vol.73, issue.5, pp.1566-73, 2009.
DOI : 10.1016/j.ijrobp.2008.11.035

D. Schwartz, A. Garden, S. Shah, G. Chronowski, S. Sejpal et al., Adaptive radiotherapy for head and neck cancer???Dosimetric results from a prospective clinical trial, Radiotherapy and Oncology, vol.106, issue.1, pp.80-84, 2013.
DOI : 10.1016/j.radonc.2012.10.010

Q. Wu, C. Y. Chen, P. Krauss, D. Yan, D. Martinez et al., Adaptive Replanning Strategies Accounting for Shrinkage in Head and Neck IMRT, International Journal of Radiation Oncology*Biology*Physics, vol.75, issue.3, pp.924-956, 2009.
DOI : 10.1016/j.ijrobp.2009.04.047

P. Castadot, J. Lee, A. Parraga, X. Geets, B. Macq et al., Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors, Radiotherapy and Oncology, vol.89, issue.1, pp.1-12, 2008.
DOI : 10.1016/j.radonc.2008.04.010

J. Thirion, Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-60, 1998.
DOI : 10.1016/S1361-8415(98)80022-4

A. Richter, Q. Hu, D. Steglich, K. Baier, J. Wilbert et al., Investigation of the usability of conebeam CT data sets for dose calculation, Radiation Oncology, vol.3, issue.1, p.42, 2008.
DOI : 10.1186/1748-717X-3-42

J. Castelli, A. Simon, O. Henry, E. Chajon, M. Nassef et al., Do we need adaptive radiotherapy in head and neck cancer to decrease xerostomia?

J. Sherriff, B. Ogunremi, S. Colley, P. Sanghera, and A. Hartley, The role of positron emission tomography/CT imaging in head and neck cancer patients after radical chemoradiotherapy, The British Journal of Radiology, vol.85, issue.1019, pp.1120-1126, 2012.
DOI : 10.1002/hed.21655

G. Ceulemans, M. Voordeckers, A. Farrag, D. Verdries, G. Storme et al., Can 18-FDG-PET During Radiotherapy Replace Post-Therapy Scanning for Detection/Demonstration of Tumor Response in Head-and-Neck Cancer?, International Journal of Radiation Oncology*Biology*Physics, vol.81, issue.4, pp.938-980, 2011.
DOI : 10.1016/j.ijrobp.2010.07.019

P. Castaldi, V. Rufini, F. Bussu, F. Micciche, N. Dinapoli et al., Can ???early??? and ???late??? 18F-FDG PET???CT be used as prognostic factors for the clinical outcome of patients with locally advanced head and neck cancer treated with radio-chemotherapy?, Radiotherapy and Oncology, vol.103, issue.1, pp.63-71, 2012.
DOI : 10.1016/j.radonc.2012.03.001

A. Farrag, G. Ceulemans, M. Voordeckers, H. Everaert, and G. Storme, Can 18F-FDG-PET response during radiotherapy be used as a predictive factor for the outcome of head and neck cancer patients?, Nuclear Medicine Communications, vol.31, issue.6, pp.495-501, 2010.
DOI : 10.1097/MNM.0b013e3283334e2b

M. Hentschel, S. Appold, A. Schreiber, N. Abolmaali, A. Abramyuk et al., Early FDG PET at 10 or 20 Gy under chemoradiotherapy is prognostic for locoregional control and overall survival in patients with head and neck cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.25, issue.7, pp.1203-1214, 2011.
DOI : 10.1148/rg.254045136

E. Chajon, C. Lafond, G. Louvel, J. Castelli, D. Williaume et al., Salivary gland-sparing other than parotid-sparing in definitive head-and-neck intensity-modulated radiotherapy does not seem to jeopardize local control, Radiation Oncology, vol.8, issue.1, p.132, 2013.
DOI : 10.1016/j.semradonc.2008.09.008
URL : https://hal.archives-ouvertes.fr/inserm-00833043

C. Discussion, 42 Conflicts of interest, p.50

A. S. Allal, P. Dulguerov, M. Allaoua, C. A. Haenggeli, A. El-ghazi-el et al., -Glucose in Predicting Outcome in Head and Neck Carcinomas Treated by Radiotherapy With or Without Chemotherapy, Journal of Clinical Oncology, vol.20, issue.5, pp.1398-1404, 2002.
DOI : 10.1200/JCO.2002.20.5.1398

I. Apostolova, I. G. Steffen, F. Wedel, A. Lougovski, S. Marnitz et al., Asphericity of pretherapeutic tumour FDG uptake provides independent prognostic value in head-and-neck cancer, European Radiology, vol.52, issue.9, pp.2077-2087, 2014.
DOI : 10.1016/j.ijrobp.2003.12.039

H. Ashamalla, M. Mattes, A. Guirguis, A. Zaidi, B. Mokhtar et al., The anatomical biological value on pretreatment (18)F-fluorodeoxyglucose positron emission tomography computed tomography predicts response and survival in locally advanced head and neck cancer, World J. Nucl. Med, vol.13, issue.2, pp.102-107, 2014.

R. Boellaard, N. C. Krak, O. S. Hoekstra, and A. A. Lammertsma, Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study, J. Nucl. Med, vol.45, issue.9, pp.1519-1527, 2004.

R. Boellaard, R. Delgado-bolton, W. J. Oyen, F. Giammarile, K. Tatsch et al., FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0, FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0, pp.328-354, 2015.
DOI : 10.1097/MNM.0b013e3282eff2d5

E. Brun, E. Kjellen, J. Tennvall, T. Ohlsson, A. Sandell et al., FDG PET studies during treatment: Prediction of therapy outcome in head and neck squamous cell carcinoma, Head & Neck, vol.39, issue.11, pp.127-135, 2002.
DOI : 10.1080/028418600430770

J. Cacicedo, A. Navarro, D. Hoyo, O. Gomez-iturriaga, A. Alongi et al., Role of fluorine-18 fluorodeoxyglucose PET/CT in head and neck oncology: the point of view of the radiation oncologist, The British Journal of Radiology, vol.16, issue.1067, 2016.
DOI : 10.3109/0284186X.2013.812799

K. P. Chang, N. M. Tsang, C. T. Liao, C. L. Hsu, M. J. Chung et al., Prognostic Significance of 18F-FDG PET Parameters and Plasma Epstein-Barr Virus DNA Load in Patients with Nasopharyngeal Carcinoma, Journal of Nuclear Medicine, vol.53, issue.1, pp.21-28, 2012.
DOI : 10.2967/jnumed.111.090696

S. W. Chen, T. C. Hsieh, K. Y. Yen, S. N. Yang, Y. C. Wang et al., Interim FDGPET/CT for predicting the outcome in patients with head and neck cancer, The Laryngoscope, vol.59, issue.12, pp.2732-2738, 2014.
DOI : 10.1016/j.ijrobp.2003.12.024

N. M. Cheng, Y. H. Fang, J. T. Chang, C. G. Huang, D. L. Tsan et al., Textural Features of Pretreatment 18F-FDG PET/CT Images: Prognostic Significance in Patients with Advanced T-Stage Oropharyngeal Squamous Cell Carcinoma, Journal of Nuclear Medicine, vol.54, issue.10, pp.54-1703, 2013.
DOI : 10.2967/jnumed.112.119289

N. M. Cheng, Y. H. Fang, L. Y. Lee, J. T. Chang, D. L. Tsan et al., Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.41, issue.3, pp.419-428, 2015.
DOI : 10.1007/s00259-013-2651-0

A. Depeursinge, A. Foncubierta-rodriguez, D. Van-de-ville, and H. Muller, Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities, Medical Image Analysis, vol.18, issue.1, pp.176-196, 2014.
DOI : 10.1016/j.media.2013.10.005

S. B. Edge and C. C. Compton, The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM, Annals of Surgical Oncology, vol.17, issue.6, pp.1471-1474, 2010.
DOI : 10.1245/s10434-010-0985-4

A. Farrag, G. Ceulemans, M. Voordeckers, H. Everaert, and G. Storme, Can 18F-FDG-PET response during radiotherapy be used as a predictive factor for the outcome of head and neck cancer patients?, Nuclear Medicine Communications, issue.6, pp.31-495, 2010.
DOI : 10.1097/MNM.0b013e3283334e2b

J. W. Fletcher, B. Djulbegovic, H. P. Soares, B. A. Siegel, V. J. Lowe et al., Recommendations on the Use of 18F-FDG PET in Oncology, Journal of Nuclear Medicine, vol.49, issue.3, pp.480-508, 2008.
DOI : 10.2967/jnumed.107.047787

S. S. Gambhir, J. Czernin, J. Schwimmer, D. H. Silverman, R. E. Coleman et al., A tabulated summary of the FDG PET literature, J. Nucl. Med, pp.42-43, 2001.

K. M. Greven, D. W. Williams-3rd, M. Sr, W. F. Harkness, B. A. D-'agostino-jr et al., Serial positron emission tomography scans following radiation therapy of patients with head and neck cancer, Head & Neck, vol.36, issue.11, pp.942-946, 2001.
DOI : 10.1016/S0959-8049(00)00037-X

K. A. Higgins, J. K. Hoang, M. C. Roach, J. Chino, D. S. Yoo et al., Analysis of Pretreatment FDG-PET SUV Parameters in Head-and-Neck Cancer: Tumor SUVmean Has Superior Prognostic Value, International Journal of Radiation Oncology*Biology*Physics, vol.82, issue.2, pp.548-553, 2012.
DOI : 10.1016/j.ijrobp.2010.11.050

F. Hofheinz, A. Lougovski, K. Zophel, M. Hentschel, I. G. Steffen et al., Increased evidence for the prognostic value of primary tumor asphericity in pretherapeutic FDG PET for risk stratification in patients with head and neck cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.1, pp.429-437, 2015.
DOI : 10.1007/s00259-009-1297-4

C. Horiuchi, T. Taguchi, T. Yoshida, G. Nishimura, M. Kawakami et al., Early assessment of clinical response to concurrent chemoradiotherapy in head and neck carcinoma using fluoro-2-deoxy-d-glucose positron emission tomography, Auris Nasus Larynx, vol.35, issue.1, 2008.
DOI : 10.1016/j.anl.2007.05.003

H. Hoshikawa, T. Mitani, Y. Nishiyama, Y. Yamamoto, M. Ohkawa et al., Evaluation of the therapeutic effects and recurrence for head and neck cancer after chemoradiotherapy by FDG-PET, Auris Nasus Larynx, vol.36, issue.2, pp.192-198, 2009.
DOI : 10.1016/j.anl.2008.05.009

H. Hoshikawa, T. Kishino, Y. Nishiyama, Y. Yamamoto, M. Yonezaki et al., Early prediction of local control in head and neck cancer after chemoradiotherapy by FDG-PET, Nuclear Medicine Communications, vol.32, issue.8, pp.32-684, 2011.
DOI : 10.1097/MNM.0b013e328346f02c

K. Ito, K. Shimoji, Y. Miyata, K. Kamiya, R. Minamimoto et al., Prognostic value of post-treatment (18)F-FDG PET/CT for advanced head and neck cancer after combined intra-arterial chemotherapy and radiotherapy, Chin. J. Cancer. Res, vol.26, issue.1, pp.30-37, 2014.

C. H. Kao, S. C. Lin, T. C. Hsieh, K. Y. Yen, S. N. Yang et al., Use of pretreatment metabolic tumour volumes to predict the outcome of pharyngeal cancer treated by definitive radiotherapy, European Journal of Nuclear Medicine and Molecular Imaging, vol.39, issue.8, pp.1297-1305, 2012.
DOI : 10.1080/00313020701230823

R. Kim, C. Y. Ock, B. Keam, T. M. Kim, J. H. Kim et al., Predictive and prognostic value of PET/CT imaging post-chemoradiotherapy and clinical decision-making consequences in locally advanced head & neck squamous cell carcinoma: a retrospective study, BMC Cancer, vol.26, issue.10, p.116, 2016.
DOI : 10.1002/hed.20080

Y. Kitagawa, K. Sano, S. Nishizawa, M. Nakamura, T. Ogasawara et al., FDG-PET for prediction of tumour aggressiveness and response to intra-arterial chemotherapy and radiotherapy in head and neck cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.30, issue.1, pp.63-71, 2003.
DOI : 10.1007/s00259-002-0978-z

P. A. Kyzas, E. Evangelou, D. Denaxa-kyza, and J. P. Ioannidis, 18F-Fluorodeoxyglucose Positron Emission Tomography to Evaluate Cervical Node Metastases in Patients With Head and Neck Squamous Cell Carcinoma: A Meta-analysis, JNCI: Journal of the National Cancer Institute, vol.40, issue.8, pp.712-720, 2008.
DOI : 10.1016/j.oraloncology.2003.10.009

T. H. La, E. J. Filion, B. B. Turnbull, J. N. Chu, P. Lee et al., Metabolic Tumor Volume Predicts for Recurrence and Death in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.74, issue.5, pp.1335-1341, 2009.
DOI : 10.1016/j.ijrobp.2008.10.060

P. Lee, D. K. Weerasuriya, P. W. Lavori, A. Quon, W. Hara et al., Metabolic Tumor Burden Predicts for Disease Progression and Death in Lung Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.69, issue.2, pp.328-333, 2007.
DOI : 10.1016/j.ijrobp.2007.04.036

Y. C. Lin, S. W. Chen, T. C. Hsieh, K. Y. Yen, S. N. Yang et al., Risk Stratification of Metastatic Neck Nodes by CT and PET in Patients with Head and Neck Cancer Receiving Definitive Radiotherapy, Journal of Nuclear Medicine, vol.56, issue.2, pp.183-189, 2015.
DOI : 10.2967/jnumed.114.148023

M. Lonneux, M. Hamoir, H. Reychler, P. Maingon, C. Duvillard et al., F]Fluorodeoxyglucose Improves Staging and Patient Management in Patients With Head and Neck Squamous Cell Carcinoma: A Multicenter Prospective Study, Journal of Clinical Oncology, vol.28, issue.7, pp.1190-1195, 2010.
DOI : 10.1200/JCO.2009.24.6298

M. Machtay, M. Natwa, J. Andrel, T. Hyslop, P. R. Anne et al., Pretreatment FDG-PET standardized uptake value as a prognostic factor for outcome in head and neck cancer, Head & Neck, vol.21, issue.2, pp.195-201, 2009.
DOI : 10.1016/j.ejso.2007.01.002

M. Matoba, H. Tuji, Y. Shimode, T. Kondo, K. Oota et al., Lesion regression rate based on RECIST: prediction of treatment outcome in patients with head and neck cancer treated with chemoradiotherapy compared with FDG PET-CT, Journal of Radiation Research, vol.100, issue.3, pp.553-560, 2015.
DOI : 10.1093/jnci/djn011

M. Min, P. Lin, M. T. Lee, I. H. Shon, M. Lin et al., Prognostic role of metabolic parameters of 18F-FDG PET-CT scan performed during radiation therapy in locally advanced head and neck squamous cell carcinoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.365, issue.13, pp.1984-1994, 2015.
DOI : 10.1016/S0140-6736(05)66698-6

M. Min, P. Lin, M. Lee, I. H. Shon, M. Lin et al., 18F-FDG PET-CT performed before and during radiation therapy of head and neck squamous cell carcinoma: Are they independent or complementary to each other?, Journal of Medical Imaging and Radiation Oncology, vol.34, issue.3, pp.433-440, 2016.
DOI : 10.3174/ajnr.A3412

B. J. Moeller, V. Rana, B. A. Cannon, M. D. Williams, E. M. Sturgis et al., Prospective Imaging Assessment of Mortality Risk After Head-and-Neck Radiotherapy, International Journal of Radiation Oncology*Biology*Physics, vol.78, issue.3, pp.667-674, 2010.
DOI : 10.1016/j.ijrobp.2009.08.063

J. D. Murphy, T. H. La, K. Chu, A. Quon, N. J. Fischbein et al., Postradiation Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.2, pp.514-521, 2011.
DOI : 10.1016/j.ijrobp.2010.01.057

C. Nahmias and L. M. Wahl, Reproducibility of Standardized Uptake Value Measurements Determined by 18F-FDG PET in Malignant Tumors, Journal of Nuclear Medicine, vol.49, issue.11, pp.1804-1808, 2008.
DOI : 10.2967/jnumed.108.054239

Y. Nakamoto, K. R. Zasadny, H. Minn, and R. L. Wahl, Reproducibility of Common Semi-quantitative Parameters for Evaluating Lung Cancer Glucose Metabolism with Positron Emission Tomography using 2-Deoxy-2-[18F]Fluoro-D-Glucose, Molecular Imaging & Biology, vol.4, issue.2, 2002.
DOI : 10.1016/S1536-1632(01)00004-X

D. M. Parkin, F. Bray, J. Ferlay, and P. Pisani, Global Cancer Statistics, 2002, Global cancer statistics, pp.74-108, 2002.
DOI : 10.3322/canjclin.55.2.74

J. P. Pignon, J. Bourhis, C. Domenge, and L. Designe, Chemotherapy added to locoregional treatment for head and neck squamous-cell carcinoma: three meta-analyses of updated individual data, The Lancet, vol.355, issue.9208, 2000.
DOI : 10.1016/S0140-6736(00)90011-4

J. H. Rasmussen, I. R. Vogelius, B. M. Fischer, J. Friborg, M. C. Aznar et al., Prognostic value of 18F-fludeoxyglucose uptake in 287 patients with head and neck squamous cell carcinoma, Head & Neck, vol.72, issue.1, pp.1274-1281, 2015.
DOI : 10.1158/0008-5472.CAN-11-3943

P. B. Romesser, R. Lim, D. E. Spratt, J. Setton, N. Riaz et al., The relative prognostic utility of standardized uptake value, gross tumor volume, and metabolic tumor volume in oropharyngeal cancer patients treated with platinum based concurrent chemoradiation with a pre-treatment [18F] fluorodeoxyglucose positron emission tomography scan, Oral Oncology, vol.50, issue.9, pp.802-808, 2014.
DOI : 10.1016/j.oraloncology.2014.06.018

L. Rudmik, H. Y. Lau, T. W. Matthews, J. D. Bosch, R. Kloiber et al., Clinical utility of PET/CT in the evaluation of head and neck squamous cell carcinoma with an unknown primary: A prospective clinical trial, Head & Neck, vol.108, issue.7, pp.935-940, 2011.
DOI : 10.1097/00005537-199811000-00004

B. Sanghera, W. L. Wong, M. A. Lodge, S. Hain, D. Stott et al., Potential novel application of dual time point SUV measurements as a predictor of survival in head and neck cancer, Nuclear Medicine Communications, vol.26, issue.10, pp.26-861, 2005.
DOI : 10.1097/00006231-200510000-00003

D. A. Schinagl, P. N. Span, W. J. Oyen, and J. H. Kaanders, Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study, European Journal of Nuclear Medicine and Molecular Imaging, vol.51, issue.8, pp.1449-1458, 2011.
DOI : 10.2967/jnumed.108.061499

D. L. Schwartz, J. Harris, M. Yao, D. I. Rosenthal, A. Opanowski et al., Metabolic Tumor Volume as a Prognostic Imaging-Based Biomarker for Head-and-Neck Cancer: Pilot Results From Radiation Therapy Oncology Group Protocol 0522, International Journal of Radiation Oncology*Biology*Physics, vol.91, issue.4, pp.721-729, 2015.
DOI : 10.1016/j.ijrobp.2014.12.023

J. L. St-guily, I. Borget, A. Vainchtock, V. Remy, and C. Takizawa, Head and neck cancers in France: an analysis of the hospital medical information system (PMSI) database, Head & Neck Oncology, vol.2, issue.1, p.22, 2010.
DOI : 10.1186/1758-3284-2-22

C. Tang, J. D. Murphy, B. Khong, T. H. La, C. Kong et al., Validation that Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.83, issue.5, pp.1514-1520, 2012.
DOI : 10.1016/j.ijrobp.2011.10.023

W. L. Wong, L. I. Sonoda, A. Gharpurhy, F. Gollub, D. Wellsted et al., 18F-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in the Assessment of Occult Primary Head and Neck Cancers ??? An Audit and Review of Published Studies, Clinical Oncology, vol.24, issue.3, pp.190-195, 2012.
DOI : 10.1016/j.clon.2011.11.001

K. Yabuki, O. Shiono, M. Komatsu, D. Sano, G. Nishimura et al., Predictive and Prognostic Value of Metabolic Tumor Volume (MTV) in Patients with Laryngeal Carcinoma Treated by Radiotherapy (RT) / Concurrent Chemoradiotherapy (CCRT), PLOS ONE, vol.92, issue.2, p.117924, 2015.
DOI : 10.1371/journal.pone.0117924.t003

J. Yoo, S. Henderson, and C. Walker-dilks, Evidence-based Guideline Recommendations on the Use of Positron Emission Tomography Imaging in Head and Neck Cancer, Clinical Oncology, vol.25, issue.4, pp.33-66, 2013.
DOI : 10.1016/j.clon.2012.08.007

H. Young, R. Baum, U. Cremerius, K. Herholz, O. Hoekstra et al., Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations, European Journal of Cancer, vol.35, issue.13, pp.1773-1782, 1999.
DOI : 10.1016/S0959-8049(99)00229-4

L. Zhu and N. Wang, 18F-fluorodeoxyglucose positron emission tomography-computed tomography as a diagnostic tool in patients with cervical nodal metastases of unknown primary site: A meta-analysis, Surgical Oncology, vol.22, issue.3, pp.190-194, 2013.
DOI : 10.1016/j.suronc.2013.06.002

J. Castelli, A. Simon, G. Louvel, O. Henry, E. Chajon et al., Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia, Radiation Oncology, vol.10, issue.1, p.6, 2015.
DOI : 10.1016/j.oraloncology.2010.03.008
URL : https://hal.archives-ouvertes.fr/hal-01139625

M. Duma, S. Kampfer, T. Schuster, C. Winkler, and H. Geinitz, Adaptive Strahlentherapie bei Weichteilgewebsver??nderungen w??hrend einer helikalen Tomotherapie bei Kopf-Hals-Patienten, Strahlentherapie und Onkologie, vol.75, issue.3, pp.243-250, 2012.
DOI : 10.1016/j.ijrobp.2009.04.047

A. Chen, M. Daly, J. Cui, M. Mathai, S. Benedict et al., Clinical outcomes among patients with head and neck cancer treated by intensity-modulated radiotherapy with and without adaptive replanning, Head & Neck, vol.77, issue.11, pp.1541-1547, 2014.
DOI : 10.1016/j.ijrobp.2009.09.023

C. Brouwer, R. Steenbakkers, J. Langendijk, and N. Sijtsema, 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?, Radiotherapy and Oncology, vol.115, issue.3, pp.285-94, 2015.
DOI : 10.1016/j.radonc.2015.05.018

M. B-r-o-w-ne,-o-w-e-nr-poulsen, S. Harris, C. Lin, and S. Porceddu, M e n g e r s e nK ,O e s t r e i c hK Predicting the need for adaptive radiotherapy in head and neck cancer, Radiother Oncol, vol.116, pp.57-63, 2015.

K. Hunter, L. Fernandes, K. Vineberg, D. Mcshan, A. Antonuk et al., Parotid Glands Dose???Effect Relationships Based on Their Actually Delivered Doses: Implications for Adaptive Replanning in Radiation Therapy of Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.87, issue.4, pp.676-82, 2013.
DOI : 10.1016/j.ijrobp.2013.07.040

C. Lee, K. Langen, W. Lu, J. Haimerl, E. Schnarr et al., Assessment of Parotid Gland Dose Changes During Head and Neck Cancer Radiotherapy Using Daily Megavoltage Computed Tomography and Deformable Image Registration, International Journal of Radiation Oncology*Biology*Physics, vol.71, issue.5
DOI : 10.1016/j.ijrobp.2008.04.013

P. Ahn, C. Chen, A. Ahn, L. Hong, P. Scripes et al., Adaptive Planning in Intensity-Modulated Radiation Therapy for Head and Neck Cancers: Single-Institution Experience and Clinical Implications, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.3, pp.677-85, 2011.
DOI : 10.1016/j.ijrobp.2010.03.014

D. Berwouts, L. Olteanu, F. Duprez, T. Vercauteren, D. Gersem et al., Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial, Radiotherapy and Oncology, vol.107, issue.3, pp.310-316, 2013.
DOI : 10.1016/j.radonc.2013.04.002

W. Budach, E. Bolke, R. Fietkau, A. Buchali, T. Wendt et al., Evaluation der Raumbelegungs- sowie der Arbeitszeit f??r das medizinische Personal w??hrend der Strahlentherapie von Patienten mit Kopf-Hals-Tumoren (DEGRO-QUIRO-Trial), Strahlentherapie und Onkologie, vol.186, issue.8, pp.449-460, 2011.
DOI : 10.1007/s00066-010-2136-z

J. Daisne and A. Blumhofer, Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation, Radiation Oncology, vol.8, issue.1, p.154, 2013.
DOI : 10.1016/j.ijrobp.2008.11.041

Y. Lai, S. Yang, J. Liang, Y. Wang, C. Yu et al., Impact of body-mass factors on setup displacement in patients with head and neck cancer treated with radiotherapy using daily on-line image guidance, Radiation Oncology, vol.9, issue.1, p.19, 2014.
DOI : 10.1016/j.radonc.2006.04.003

S. You, S. Kim, C. Lee, K. Keum, J. Kim et al., Is There a Clinical Benefit to Adaptive Planning During Tomotherapy in Patients with Head and Neck Cancer at Risk for Xerostomia?, American Journal of Clinical Oncology, vol.35, issue.3, pp.261-267, 2012.
DOI : 10.1097/COC.0b013e31820dc092

J. Barker-jr, A. Garden, K. Ang, O. Daniel, J. Wang et al., Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system, International Journal of Radiation Oncology*Biology*Physics, vol.59, issue.4, pp.960-70, 2004.
DOI : 10.1016/j.ijrobp.2003.12.024

G. Sanguineti, F. Ricchetti, O. Thomas, B. Wu, and T. Mcnutt, Pattern and predictors of volumetric change of parotid glands during intensity modulated radiotherapy, The British Journal of Radiology, vol.86, issue.1031, p.20130363, 2013.
DOI : 10.1016/j.ijrobp.2009.04.011

R. Mohan, Q. Wu, M. Manning, and R. Schmidt-ullrich, Radiobiological considerations in the design of fractionation strategies for intensity-modulated radiation therapy of head and neck cancers, International Journal of Radiation Oncology*Biology*Physics, vol.46, issue.3, pp.619-649, 2000.
DOI : 10.1016/S0360-3016(99)00438-1

N. Lee, C. Chuang, J. Quivey, T. Phillips, P. Akazawa et al., Skin toxicity due to intensity-modulated radiotherapy for head-and-neck carcinoma, International Journal of Radiation Oncology*Biology*Physics, vol.53, issue.3, pp.630-637, 2002.
DOI : 10.1016/S0360-3016(02)02756-6

D. Rueckert, L. Sonoda, C. Hayes, D. Hill, M. Leach et al., Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-733, 1999.
DOI : 10.1109/42.796284

S. Klein, M. Staring, K. Murphy, and M. Viergever, elastix: A Toolbox for Intensity-Based Medical Image Registration, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.196-205, 2010.
DOI : 10.1109/TMI.2009.2035616

G. Hahn, Fitting Regression Models with No Intercept Term, Journal of Quality Technology, vol.3, issue.2, pp.56-61, 1977.
DOI : 10.1080/00401706.1974.10489234

J. Lyman, Complication Probability as Assessed from Dose-Volume Histograms, Radiation Research Supplement, vol.8, pp.13-19, 1985.
DOI : 10.2307/3583506

T. Dijkema, C. Raaijmakers, T. Haken, R. Roesink, J. Braam et al., Parotid Gland Function After Radiotherapy: The Combined Michigan and Utrecht Experience, International Journal of Radiation Oncology*Biology*Physics, vol.78, issue.2, pp.449-53, 2010.
DOI : 10.1016/j.ijrobp.2009.07.1708

P. Castadot, X. Geets, J. Lee, and V. Gregoire, Adaptive functional image-guided IMRT in pharyngo-laryngeal squamous cell carcinoma: Is the gain in dose distribution worth the effort?, Radiotherapy and Oncology, vol.101, issue.3, pp.343-50, 2011.
DOI : 10.1016/j.radonc.2011.06.011

H. Yang, W. Hu, W. Wang, P. Chen, W. Ding et al., Replanning During Intensity Modulated Radiation Therapy Improved Quality of Life in Patients With Nasopharyngeal Carcinoma, International Journal of Radiation Oncology*Biology*Physics, vol.85, issue.1, pp.47-54, 2013.
DOI : 10.1016/j.ijrobp.2012.09.033

M. Belli, E. Scalco, G. Sanguineti, C. Fiorino, S. Broggi et al., Die Nutzung fr??he Ver??nderungen in Dichte und Volumens der Ohrspeicheldr??se als Pr??dicator f??r Modifikationen am Ende der Therapie und der Intensit??t akuter Xerostomie, Strahlentherapie und Onkologie, vol.175, issue.3, pp.1001-1008, 2014.
DOI : 10.1007/BF02753843

P. Lassen, J. Eriksen, S. Hamilton-dutoit, T. Tramm, J. Alsner et al., Expression on Response to Radiotherapy and Survival in Squamous Cell Carcinoma of the Head and Neck, Journal of Clinical Oncology, vol.27, issue.12, pp.1992-2000, 2009.
DOI : 10.1200/JCO.2008.20.2853

P. Lassen, J. Eriksen, S. Hamilton-dutoit, T. Tramm, J. Alsner et al., HPV-associated p16-expression and response to hypoxic modification of radiotherapy in head and neck cancer, Radiotherapy and Oncology, vol.94, issue.1, pp.30-35, 2010.
DOI : 10.1016/j.radonc.2009.10.008

Z. Wang, C. Yan, Z. Zhang, C. Zhang, H. Hu et al., Radiation-induced volume changes in parotid and submandibular glands in patients with head and neck cancer receiving postoperative radiotherapy: A longitudinal study, The Laryngoscope, vol.73, issue.10, pp.1966-74, 2009.
DOI : 10.1016/j.ijrobp.2008.03.068

S. Bhide, M. Davies, K. Burke, H. Mcnair, V. Hansen et al., Weekly Volume and Dosimetric Changes During Chemoradiotherapy With Intensity-Modulated Radiation Therapy for Head and Neck Cancer: A Prospective Observational Study, International Journal of Radiation Oncology*Biology*Physics, vol.76, issue.5, pp.1360-1368, 2010.
DOI : 10.1016/j.ijrobp.2009.04.005

T. Lee and F. Fang, Quantitative analysis of normal tissue effects in the clinic (QUANTEC) guideline validation using quality of life questionnaire datasets for parotid gland constraints to avoid causing xerostomia during head-and-neck radiotherapy, Radiotherapy and Oncology, vol.106, issue.3, pp.352-360, 2013.
DOI : 10.1016/j.radonc.2012.11.013

V. Moiseenko, J. Wu, A. Hovan, Z. Saleh, A. Apte et al., Treatment Planning Constraints to Avoid Xerostomia in Head-and-Neck Radiotherapy: An Independent Test of QUANTEC Criteria Using a Prospectively Collected Dataset, International Journal of Radiation Oncology*Biology*Physics, vol.82, issue.3, pp.1108-1122, 2012.
DOI : 10.1016/j.ijrobp.2011.04.020

J. Deasy, V. Moiseenko, L. Marks, K. Chao, N. J. Eisbruch et al., Radiotherapy Dose???Volume Effects on Salivary Gland Function, International Journal of Radiation Oncology*Biology*Physics, vol.76, issue.3, pp.58-63, 2010.
DOI : 10.1016/j.ijrobp.2009.06.090

T. Lee, M. Liou, Y. Huang, P. Chao, H. Ting et al., LASSO NTCP predictors for the incidence of xerostomia in patients with head and neck squamous cell carcinoma and nasopharyngeal carcinoma, Scientific Reports, vol.27, issue.1, p.6217, 2014.
DOI : 10.1016/j.oraloncology.2012.07.004

I. Beetz, C. Schilstra, A. Van-der-schaaf, E. Van-den-heuvel, P. Doornaert et al., NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: The role of dosimetric and clinical factors, Radiotherapy and Oncology, vol.105, issue.1, pp.101-107, 2012.
DOI : 10.1016/j.radonc.2012.03.004

I. Beetz, R. Steenbakkers, O. Chouvalova, C. Leemans, P. Doornaert et al., The QUANTEC criteria for parotid gland dose and their efficacy to prevent moderate to severe patient-rated xerostomia, Acta Oncologica, vol.53, issue.5, pp.597-604, 2014.
DOI : 10.3109/0284186X.2012.692885

M. Kam, S. Leung, B. Zee, R. Chau, J. Suen et al., Prospective Randomized Study of Intensity-Modulated Radiotherapy on Salivary Gland Function in Early-Stage Nasopharyngeal Carcinoma Patients, Journal of Clinical Oncology, vol.25, issue.31, pp.4873-4882, 2007.
DOI : 10.1200/JCO.2007.11.5501

. Centre-antoine-lacassagne, Radiotherapy department

C. Rennes, . Head, . Neck, and . Rennes, France Adaptive radiotherapy in head and neck cancer to correct tumor underdose and parotid gland overdose J.Castelli 1,2,3 ; A

. Centre-antoine-lacassagne, Radiotherapy department

L. Capelle, Adaptive Radiotherapy Using Helical Tomotherapy for Head and Neck Cancer in Definitive and Postoperative Settings: Initial Results, Clinical Oncology, vol.24, issue.3, pp.208-223, 2012.
DOI : 10.1016/j.clon.2011.11.005

J. Castelli, Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia, Radiation Oncology, vol.10, issue.1, p.6, 2015.
DOI : 10.1016/j.oraloncology.2010.03.008
URL : https://hal.archives-ouvertes.fr/hal-01139625

A. Dewan, Impact of Adaptive Radiotherapy on Locally Advanced Head and Neck Cancer - A Dosimetric and Volumetric Study, Asian Pacific Journal of Cancer Prevention, vol.17, issue.3, pp.985-92, 2016.
DOI : 10.7314/APJCP.2016.17.3.985

A. D. Jensen, A Clinical Concept for Interfractional Adaptive Radiation Therapy in the Treatment of Head and Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.82, issue.2, pp.590-596, 2012.
DOI : 10.1016/j.ijrobp.2010.10.072

L. A. Olteanu, Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer, Radiotherapy and Oncology, vol.111, issue.3, pp.348-53, 2014.
DOI : 10.1016/j.radonc.2014.02.017

D. L. Schwartz, Adaptive radiotherapy for head and neck cancer???Dosimetric results from a prospective clinical trial, Radiotherapy and Oncology, vol.106, issue.1, pp.80-84, 2013.
DOI : 10.1016/j.radonc.2012.10.010

R. Height, The dosimetric consequences of anatomic changes in head and neck radiotherapy patients, Journal of Medical Imaging and Radiation Oncology, vol.7, issue.2, pp.497-504, 2010.
DOI : 10.1016/j.ijrobp.2004.11.033

S. Marzi, Anatomical and Dose Changes of Gross Tumour Volume and Parotid Glands for Head and Neck Cancer Patients during Intensity-modulated Radiotherapy: Effect on the Probability of Xerostomia Incidence, Clinical Oncology, vol.24, issue.3, pp.24-54, 2012.
DOI : 10.1016/j.clon.2011.11.006

C. B. Simone, Comparison of intensity-modulated radiotherapy, adaptive radiotherapy, proton radiotherapy, and adaptive proton radiotherapy for treatment of locally advanced head and neck cancer, Radiotherapy and Oncology, vol.101, issue.3, pp.376-82, 2011.
DOI : 10.1016/j.radonc.2011.05.028

Q. Wu, Adaptive Replanning Strategies Accounting for Shrinkage in Head and Neck IMRT, International Journal of Radiation Oncology*Biology*Physics, vol.75, issue.3, pp.924-956, 2009.
DOI : 10.1016/j.ijrobp.2009.04.047

C. Yip, Co-registration of cone beam CT and planning CT in head and neck IMRT dose estimation: a feasible adaptive radiotherapy strategy Parotid gland dose in intensity-modulated radiotherapy for head and neck cancer: is what you plan what you get, Br J Radiol Int J Radiat Oncol Biol Phys, vol.87, issue.694, pp.1290-1296, 1034.

S. A. Bhide, Weekly Volume and Dosimetric Changes During Chemoradiotherapy With Intensity-Modulated Radiation Therapy for Head and Neck Cancer: A Prospective Observational Study, International Journal of Radiation Oncology*Biology*Physics, vol.76, issue.5, pp.76-1360, 2010.
DOI : 10.1016/j.ijrobp.2009.04.005

C. Chen, Will weight loss cause significant dosimetric changes of target volumes and organs at risk in nasopharyngeal carcinoma treated with intensity-modulated radiation therapy?, Medical Dosimetry, vol.39, issue.1, pp.34-41, 2014.
DOI : 10.1016/j.meddos.2013.09.002

E. K. Hansen, Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer, International Journal of Radiation Oncology*Biology*Physics, vol.64, issue.2, pp.355-62, 2006.
DOI : 10.1016/j.ijrobp.2005.07.957

P. H. Ahn, Adaptive Planning in Intensity-Modulated Radiation Therapy for Head and Neck Cancers: Single-Institution Experience and Clinical Implications, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.3, pp.677-85, 2011.
DOI : 10.1016/j.ijrobp.2010.03.014

R. Mohan, Radiobiological considerations in the design of fractionation strategies for intensity-modulated radiation therapy of head and neck cancers, International Journal of Radiation Oncology*Biology*Physics, vol.46, issue.3, pp.619-649, 2000.
DOI : 10.1016/S0360-3016(99)00438-1

N. Lee, Skin toxicity due to intensity-modulated radiotherapy for head-and-neck carcinoma, International Journal of Radiation Oncology*Biology*Physics, vol.53, issue.3, pp.630-637, 2002.
DOI : 10.1016/S0360-3016(02)02756-6

J. Castelli, A Nomogram to predict parotid gland overdose in head and neck IMRT, Radiation Oncology, vol.64, issue.8, p.79, 2016.
DOI : 10.1016/j.ijrobp.2005.06.042
URL : https://hal.archives-ouvertes.fr/hal-01343168

J. Lester, B. O. Peters, J. Giralt, T. J. Fitzgerald, A. Trotti et al., Critical Impact of Radiotherapy Protocol Compliance and Quality in the Treatment of Advanced Head and Neck Cancer: Results From Replanning during intensity modulated radiation therapy improved quality of life in patients with nasopharyngeal carcinoma, Int J Radiat Oncol Biol Phys, vol.85, issue.1, pp.47-54, 2013.

Y. L. Lai, Impact of body-mass factors on setup displacement in patients with head and neck cancer treated with radiotherapy using daily on-line image guidance The role of replanning in fractionated intensity modulated radiotherapy for nasopharyngeal carcinoma, Radiother Oncol, issue.1, pp.98-121, 2011.

P. Zhang, Optimal adaptive IMRT strategy to spare the parotid glands in oropharyngeal cancer, Radiotherapy and Oncology, vol.120, issue.1, pp.41-48, 2016.
DOI : 10.1016/j.radonc.2016.05.028
URL : https://hal.archives-ouvertes.fr/hal-01340279

J. Fletcher, B. Djulbegovic, and H. Soares, Recommendations on the use of 18 F-FDG PET in oncology, JNuclMed, vol.49, pp.480-508, 2008.

S. Gambhir, J. Czernin, and J. Schwimmer, A tabulated summary of the FDG PET literature, JNuclMed, vol.42, pp.1-93, 2001.

P. Kyzas, E. Evangelou, and D. Denaxa-kyza, 18F-Fluorodeoxyglucose Positron Emission Tomography to Evaluate Cervical Node Metastases in Patients With Head and Neck Squamous Cell Carcinoma: A Meta-analysis, JNCI: Journal of the National Cancer Institute, vol.40, issue.8, pp.712-720, 2008.
DOI : 10.1016/j.oraloncology.2003.10.009

M. Lonneux, M. Hamoir, and H. Reychler, F]Fluorodeoxyglucose Improves Staging and Patient Management in Patients With Head and Neck Squamous Cell Carcinoma: A Multicenter Prospective Study, Journal of Clinical Oncology, vol.28, issue.7, pp.1190-1195, 2010.
DOI : 10.1200/JCO.2009.24.6298

D. Schwartz, J. Harris, and M. Yao, Metabolic Tumor Volume as a Prognostic Imaging-Based Biomarker for Head-and-Neck Cancer: Pilot Results From Radiation Therapy Oncology Group Protocol 0522, International Journal of Radiation Oncology*Biology*Physics, vol.91, issue.4, pp.721-729, 2015.
DOI : 10.1016/j.ijrobp.2014.12.023

S. Moon, J. Choi, and H. Lee, Prognostic Value of Volume-Based Positron Emission Tomography/Computed Tomography in Patients With Nasopharyngeal Carcinoma Treated With Concurrent Chemoradiotherapy, Clinical and Experimental Otorhinolaryngology, vol.8, issue.2, pp.142-148, 2015.
DOI : 10.3342/ceo.2015.8.2.142

J. Cacicedo, A. Navarro, D. Hoyo, and O. , Role of fluorine-18 fluorodeoxyglucose PET/CT in head and neck oncology: the point of view of the radiation oncologist, The British Journal of Radiology, vol.16, issue.1067, p.20160217, 2016.
DOI : 10.3109/0284186X.2013.812799

D. Schinagl, P. Span, and W. Oyen, Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study, European Journal of Nuclear Medicine and Molecular Imaging, vol.51, issue.8
DOI : 10.2967/jnumed.108.061499

C. Kao, S. Lin, and T. Hsieh, Use of pretreatment metabolic tumour volumes to predict the outcome of pharyngeal cancer treated by definitive radiotherapy, European Journal of Nuclear Medicine and Molecular Imaging, vol.39, issue.8, pp.1297-1305, 2012.
DOI : 10.1080/00313020701230823

N. Cheng, Y. Fang, and L. Lee, Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.41, issue.3, pp.419-428, 2015.
DOI : 10.1007/s00259-013-2651-0

Y. Lin, S. Chen, and T. Hsieh, Risk Stratification of Metastatic Neck Nodes by CT and PET in Patients with Head and Neck Cancer Receiving Definitive Radiotherapy, Journal of Nuclear Medicine, vol.56, issue.2, pp.183-189, 2015.
DOI : 10.2967/jnumed.114.148023

K. Yabuki, O. Shiono, and M. Komatsu, Predictive and Prognostic Value of Metabolic Tumor Volume (MTV) in Patients with Laryngeal Carcinoma Treated by Radiotherapy (RT) / Concurrent Chemoradiotherapy (CCRT), PLOS ONE, vol.92, issue.2, p.117924, 2015.
DOI : 10.1371/journal.pone.0117924.t003

R. Abgral, N. Keromnes, and P. Robin, Prognostic value of volumetric parameters measured by 18F-FDG PET/CT in patients with head and neck squamous cell carcinoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.27, issue.4, pp.659-667, 2014.
DOI : 10.1016/j.ejrad.2011.11.047
URL : https://hal.archives-ouvertes.fr/hal-01255796

R. Abgral, G. Valette, and P. Robin, FDG PET-CT imaging in patients with head and neck cancer, Head & Neck, vol.203, issue.S1, pp.600-606, 2016.
DOI : 10.2214/AJR.13.11654
URL : https://hal.archives-ouvertes.fr/hal-01258692

G. Park, J. Kim, and J. Roh, Prognostic value of metabolic tumor volume measured by 18F-FDG PET/CT in advanced-stage squamous cell carcinoma of the larynx and hypopharynx, Annals of Oncology, vol.5, issue.6, pp.208-214, 2013.
DOI : 10.1097/00000421-198212000-00014

R. Mohan, Q. Wu, and M. Manning, Radiobiological considerations in the design of fractionation strategies for intensity-modulated radiation therapy of head and neck cancers, International Journal of Radiation Oncology*Biology*Physics, vol.46, issue.3, pp.619-630, 2000.
DOI : 10.1016/S0360-3016(99)00438-1

J. Bernier, C. Domenge, and M. Ozsahin, Postoperative Irradiation with or without Concomitant Chemotherapy for Locally Advanced Head and Neck Cancer, New England Journal of Medicine, vol.350, issue.19, pp.1945-1952, 2004.
DOI : 10.1056/NEJMoa032641

J. Bourhis, C. Sire, and P. Graff, Concomitant chemoradiotherapy versus acceleration of radiotherapy with or without concomitant chemotherapy in locally advanced head and neck carcinoma (GORTEC 99-02): an open-label phase 3 randomised trial, The Lancet Oncology, vol.13, issue.2, pp.145-153, 2012.
DOI : 10.1016/S1470-2045(11)70346-1

J. Bonner, P. Harari, and J. Giralt, Radiotherapy plus cetuximab for locoregionally advanced head and neck cancer: 5-year survival data from a phase 3 randomised trial, and relation between cetuximab-induced rash and survival, The Lancet Oncology, vol.11, issue.1, pp.21-28, 2010.
DOI : 10.1016/S1470-2045(09)70311-0

J. Castelli, A. Simon, and B. Rigaud, A Nomogram to predict parotid gland overdose in head and neck IMRT, Radiation Oncology, vol.64, issue.8, p.79, 2016.
DOI : 10.1016/j.ijrobp.2005.06.042
URL : https://hal.archives-ouvertes.fr/hal-01343168

M. Schemper and T. Smith, A note on quantifying follow-up in studies of failure time, Controlled Clinical Trials, vol.17, issue.4, pp.343-346, 1996.
DOI : 10.1016/0197-2456(96)00075-X

F. Harrell, K. Lee, and D. Mark, MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS, Statistics in Medicine, vol.15, issue.4, pp.361-387, 1996.
DOI : 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4

T. Hothorn and B. Lausen, On the exact distribution of maximally selected rank statistics, Computational Statistics & Data Analysis, vol.43, issue.2, pp.121-137, 2003.
DOI : 10.1016/S0167-9473(02)00225-6

F. Pet, CT parameters to predict recurrence and survival in cervical cancer, Radiother Oncol, vol.120, pp.512-518, 2016.

P. Romesser, R. Lim, and D. Spratt, The relative prognostic utility of standardized uptake value, gross tumor volume, and metabolic tumor volume in oropharyngeal cancer patients treated with platinum based concurrent chemoradiation with a pre-treatment [18F] fluorodeoxyglucose positron emission tomography scan, Oral Oncology, vol.50, issue.9, pp.802-808, 2014.
DOI : 10.1016/j.oraloncology.2014.06.018

J. Murphy, T. La, and K. Chu, Postradiation Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.2, pp.514-521, 2011.
DOI : 10.1016/j.ijrobp.2010.01.057

S. Moon, J. Choi, and H. Lee, F-FDG PET/CT in patients with squamous cell carcinoma of the tonsil: Comparisons of volume-based metabolic parameters, Head & Neck, vol.39, issue.1, pp.15-22, 2013.
DOI : 10.1016/S1368-8375(02)00085-4

Y. Seol, B. Kwon, and M. Song, Measurement of tumor volume by PET to evaluate prognosis in patients with head and neck cancer treated by chemo-radiation therapy, Acta Oncologica, vol.53, issue.2, pp.201-208, 2010.
DOI : 10.1016/S0360-3016(02)02705-0

P. Deron, K. Mertens, and I. Goethals, Metabolic tumour volume, Nuklearmedizin, vol.50, issue.4, pp.141-146, 2011.
DOI : 10.3413/Nukmed-0367-10-11

M. Hentschel, S. Appold, and A. Schreiber, Early FDG PET at 10 or 20 Gy under chemoradiotherapy is prognostic for locoregional control and overall survival in patients with head and neck cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.25, issue.7, pp.1203-1211, 2011.
DOI : 10.1148/rg.254045136

M. Kikuchi, S. Koyasu, and S. Shinohara, F-fluorodeoxyglucose positron emission tomography/CT volume-based parameters in patients with oropharyngeal squamous cell carcinoma with known p16 and p53 status, Head & Neck, vol.34, issue.10, pp.1524-1531, 2015.
DOI : 10.1097/PAS.0b013e3181e84652

S. Edge and C. Compton, The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM, Annals of Surgical Oncology, vol.17, issue.6, pp.1471-1475, 2010.
DOI : 10.1245/s10434-010-0985-4

J. Pignon, J. Bourhis, C. Domenge, and L. Designe, Chemotherapy added to locoregional treatment for head and neck squamous-cell carcinoma: three meta-analyses of updated individual data. MACH-NC Collaborative Group. Meta analysis of chemotherapy on head and neck cancer, Cancer/Radioth??rapie, vol.5, issue.2, pp.949-55, 2000.
DOI : 10.1016/S1278-3218(00)00073-1

J. Bernier, C. Domenge, M. Ozsahin, K. Matuszewska, J. Lefebvre et al., Postoperative Irradiation with or without Concomitant Chemotherapy for Locally Advanced Head and Neck Cancer, New England Journal of Medicine, vol.350, issue.19, 2004.
DOI : 10.1056/NEJMoa032641

J. Bourhis, C. Sire, P. Graff, V. Gregoire, P. Maingon et al., Concomitant chemoradiotherapy versus acceleration of radiotherapy with or without concomitant chemotherapy in locally advanced head and neck carcinoma (GORTEC 99-02): an Fig. 3. KaplaneMeier curves of overall survival and locoregional control for the training cohort (Rennes, A and B) and the validation cohort (Lausanne, C and D) according to the predictive score group (optimal cut-off defined by the Hothorn & Lausen method) High risk: score >1

J. Castelli, A PET-based nomogram for oropharyngeal cancers, European Journal of Cancer, vol.75, pp.222-230, 2017.
DOI : 10.1016/j.ejca.2017.01.018
URL : https://hal.archives-ouvertes.fr/hal-01484701

J. Bonner, P. Harari, J. Giralt, R. Cohen, C. Jones et al., Radiotherapy plus cetuximab for locoregionally advanced head and neck cancer: 5-year survival data from a phase 3 randomised trial, and relation between cetuximab-induced rash and survival, The Lancet Oncology, vol.11, issue.1, pp.21-29, 2010.
DOI : 10.1016/S1470-2045(09)70311-0

J. Fletcher, B. Djulbegovic, H. Soares, B. Siegel, V. Lowe et al., Recommendations on the Use of 18F-FDG PET in Oncology, Journal of Nuclear Medicine, vol.49, issue.3, pp.480-508, 2008.
DOI : 10.2967/jnumed.107.047787

S. Gambhir, J. Czernin, J. Schwimmer, D. Silverman, R. Coleman et al., A tabulated summary of the FDG PET literature, J Nucl Med, vol.42, issue.5, pp.1-93, 2001.

P. Kyzas, E. Evangelou, D. Denaxa-kyza, and J. Ioannidis, 18F-Fluorodeoxyglucose Positron Emission Tomography to Evaluate Cervical Node Metastases in Patients With Head and Neck Squamous Cell Carcinoma: A Meta-analysis, JNCI: Journal of the National Cancer Institute, vol.40, issue.8, pp.712-732, 2008.
DOI : 10.1016/j.oraloncology.2003.10.009

D. Schwartz, J. Harris, M. Yao, D. Rosenthal, A. Opanowski et al., Metabolic Tumor Volume as a Prognostic Imaging-Based Biomarker for Head-and-Neck Cancer: Pilot Results From Radiation Therapy Oncology Group Protocol 0522, International Journal of Radiation Oncology*Biology*Physics, vol.91, issue.4, pp.721-730, 2015.
DOI : 10.1016/j.ijrobp.2014.12.023

S. Moon, J. Choi, H. Lee, Y. Son, C. Baek et al., Prognostic Value of Volume-Based Positron Emission Tomography/Computed Tomography in Patients With Nasopharyngeal Carcinoma Treated With Concurrent Chemoradiotherapy, Clinical and Experimental Otorhinolaryngology, vol.8, issue.2, pp.142-150, 2015.
DOI : 10.3342/ceo.2015.8.2.142

J. Castelli, A. Simon, B. Rigaud, C. Lafond, E. Chajon et al., A Nomogram to predict parotid gland overdose in head and neck IMRT, Radiation Oncology, vol.64, issue.8, p.79, 2016.
DOI : 10.1016/j.ijrobp.2005.06.042
URL : https://hal.archives-ouvertes.fr/hal-01343168

M. Schemper, T. Smith, G. Collins, J. Reitsma, D. Altman et al., A note on quantifying follow-up in studies of failure time Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement, Control Clin Trials Br J Cancer, vol.1721112, issue.42, pp.251-260, 1996.

F. Harrell, K. Lee, and D. Mark, MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS, Statistics in Medicine, vol.15, issue.4, pp.361-87, 1996.
DOI : 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4

B. Efron and G. Gong, A leisurely look at the bootstrap, the jackknife, and cross-validation, Am Stat, vol.37, issue.1, pp.36-48, 1983.

T. Hothorn and B. Lausen, On the exact distribution of maximally selected rank statistics, Computational Statistics & Data Analysis, vol.43, issue.2, pp.121-158, 2003.
DOI : 10.1016/S0167-9473(02)00225-6

A. Kreimer, G. Clifford, P. Boyle, and S. Franceschi, Human Papillomavirus Types in Head and Neck Squamous Cell Carcinomas Worldwide: A Systematic Review, Cancer Epidemiology Biomarkers & Prevention, vol.14, issue.2, pp.467-75, 2005.
DOI : 10.1158/1055-9965.EPI-04-0551

K. Ang, J. Harris, R. Wheeler, R. Weber, D. Rosenthal et al., Human Papillomavirus and Survival of Patients with Oropharyngeal Cancer, New England Journal of Medicine, vol.363, issue.1, pp.24-35, 2010.
DOI : 10.1056/NEJMoa0912217

P. Romesser, R. Lim, D. Spratt, J. Setton, N. Riaz et al., The relative prognostic utility of standardized uptake value, gross tumor volume, and metabolic tumor volume in oropharyngeal cancer patients treated with platinum based concurrent chemoradiation with a pre-treatment [18F] fluorodeoxyglucose positron emission tomography scan, Oral Oncology, vol.50, issue.9, pp.802-810, 2014.
DOI : 10.1016/j.oraloncology.2014.06.018

O. Akagunduz, R. Savas, D. Yalman, K. Kocacelebi, and M. Esassolak, Can adaptive threshold-based metabolic tumor volume (MTV) and lean body mass corrected standard uptake value (SUL) predict prognosis in head and neck cancer patients treated with definitive radiotherapy/chemoradiotherapy?, Nuclear Medicine and Biology, vol.42, issue.11, pp.899-904, 2015.
DOI : 10.1016/j.nucmedbio.2015.06.007

F. Hofheinz, A. Lougovski, K. Zophel, M. Hentschel, I. Steffen et al., Increased evidence for the prognostic value of primary tumor asphericity in pretherapeutic FDG PET for risk stratification in patients with head and neck cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.1, pp.429-466, 2015.
DOI : 10.1007/s00259-009-1297-4

C. Tang, J. Murphy, B. Khong, T. La, C. Kong et al., Validation that Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.83, issue.5, pp.1514-1534, 2012.
DOI : 10.1016/j.ijrobp.2011.10.023

T. La, E. Filion, B. Turnbull, J. Chu, P. Lee et al., Metabolic Tumor Volume Predicts for Recurrence and Death in Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.74, issue.5, pp.1335-1376, 2009.
DOI : 10.1016/j.ijrobp.2008.10.060

I. Apostolova, I. Steffen, F. Wedel, A. Lougovski, S. Marnitz et al., Asphericity of pretherapeutic tumour FDG uptake provides independent prognostic value in head-and-neck cancer, European Radiology, vol.52, issue.9
DOI : 10.1016/j.ijrobp.2003.12.039

D. Schinagl, P. Span, W. Oyen, and J. Kaanders, Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study, European Journal of Nuclear Medicine and Molecular Imaging, vol.51, issue.8, pp.1449-58, 2011.
DOI : 10.2967/jnumed.108.061499

J. Castelli, Two decisions trees were therefore built based on type of chemotherapy, age, primary tumor growth pattern, site, KPS, HPV status, site, initial primary GTV, and total GTV volumes. However, several issues still remains in the issue of patient selection, mainly due to the limited number of patients in the studies [14], the small number of per-treatment imaging [47], unclear criteria to perform replanning [46], and the lack of external validation of the models. In summary, good candidate for ART are mainly likely those with early tumor shrinkage or early parotid gland overdose. Cross validation studies are, however, necessary to confirm such decision criteria, European Journal of Cancer, vol.75, p.230, 2017.

J. Barker, J. Garden, A. Ang, and K. , Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system, Gy) halted the study. More than half of the recurrence occurred inside the high dose area, pp.960-70, 2004.
DOI : 10.1016/j.ijrobp.2003.12.024

T. Nishi, Y. Nishimura, and T. Shibata, Volume and dosimetric changes and initial clinical experience of a two-step adaptive intensity modulated radiation therapy (IMRT) scheme for head and neck cancer Adaptive radiotherapy for soft tissue changes during helical tomotherapy for head and neck cancer, Radiother Oncol Strahlenther Onkol, vol.106188, pp.85-9243, 2012.

V. Gregoire, R. Jeraj, and J. Lee, Radiotherapy for head and neck tumours in 2012 and beyond: conformal, tailored, and adaptive?, The Lancet Oncology, vol.13, issue.7, pp.292-300, 2012.
DOI : 10.1016/S1470-2045(12)70237-1

D. Schwartz, O. Zeidan, K. Langen, and S. Meeks, Evaluation of image-guidance protocols in the treatment of head and neck cancers Daily image guidance with cone-beam computed tomography for head-and-neck cancer intensity-modulated radiotherapy: a prospective study Assessment of residual setup errors for anatomical sub-structures in image-guided head-and-neck cancer radiotherapy, [9] van Kranen S, van Beek S, Mencarelli A, et al. Correction strategies to manage deformations in head-and-neck radiotherapy, pp.139-47670, 2007.

D. Moher, A. Liberati, and J. Tetzlaff, Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement Parotid glands dose-effect relationships based on their actually delivered doses: implications for adaptive replanning in radiation therapy of head-and-neck cancer, BMJ Int J Radiat Oncol Biol Phys, vol.3398712, pp.676-82, 2009.

J. Castelli, A. Simon, and G. Louvel, Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia, Radiation Oncology, vol.10, issue.1, pp.6-13, 2015.
DOI : 10.1016/j.oraloncology.2010.03.008
URL : https://hal.archives-ouvertes.fr/hal-01139625

P. Zhang, A. Simon, and B. Rigaud, Optimal adaptive IMRT strategy to spare the parotid glands in oropharyngeal cancer, Radiotherapy and Oncology, vol.120, issue.1, pp.41-48, 2016.
DOI : 10.1016/j.radonc.2016.05.028
URL : https://hal.archives-ouvertes.fr/hal-01340279

S. Bhide, M. Davies, and K. Burke, Weekly Volume and Dosimetric Changes During Chemoradiotherapy With Intensity-Modulated Radiation Therapy for Head and Neck Cancer: A Prospective Observational Study, International Journal of Radiation Oncology*Biology*Physics, vol.76, issue.5, pp.1360-1368, 2010.
DOI : 10.1016/j.ijrobp.2009.04.005

P. Ahn, C. Chen, and A. Ahn, Adaptive Planning in Intensity-Modulated Radiation Therapy for Head and Neck Cancers: Single-Institution Experience and Clinical Implications, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.3, pp.677-85, 2011.
DOI : 10.1016/j.ijrobp.2010.03.014

L. Capelle, M. Mackenzie, and C. Field, Adaptive radiotherapy using helical tomotherapy for head and neck cancer in definitive and postoperative settings: initial results Impact of Adaptive Radiotherapy on Locally Advanced Head and Neck Cancer -A Dosimetric and Volumetric Study, Clin Oncol (R Coll Radiol) Asian Pac J Cancer Prev, vol.2417, pp.208-15985, 2012.

P. Castadot, X. Geets, and J. Lee, Adaptive functional image-guided IMRT in pharyngolaryngeal squamous cell carcinoma: is the gain in dose distribution worth the effort?, Radiother Oncol, vol.10120, pp.343-50, 2011.

C. Chen, Z. Fei, and L. Chen, Will weight loss cause significant dosimetric changes of target volumes and organs at risk in nasopharyngeal carcinoma treated with intensity-modulated radiation therapy? Adaptive radiotherapy for head and neck cancer-dosimetric results from a prospective clinical trial Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer A clinical concept for interfractional adaptive radiation therapy in the treatment of head and neck cancer, Med Dosim Radiother Oncol Radiother Oncol Int J Radiat Oncol Biol Phys, vol.392110622111238224, pp.34-780, 2012.

E. Hansen, M. Bucci, and J. Quivey, Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer Adaptive radiotherapy for head-and-neck cancer: initial clinical outcomes from a prospective trial, Int J Radiat Oncol Biol Phys Int J Radiat Oncol Biol Phys, vol.64258326, pp.355-62986, 2006.

Y. Lai, S. Yang, and J. Liang, Impact of body-mass factors on setup displacement in patients with head and neck cancer treated with radiotherapy using daily on-line image guidance Clinical outcomes of adaptive radiotherapy in head and neck cancers, Radiat Oncol Br J Radiol, vol.98928, p.20160085, 2014.

H. Yang, W. Hu, and W. Wang, Replanning During Intensity Modulated Radiation Therapy Improved Quality of Life in Patients With Nasopharyngeal Carcinoma, International Journal of Radiation Oncology*Biology*Physics, vol.85, issue.1, pp.47-54, 2013.
DOI : 10.1016/j.ijrobp.2012.09.033

L. Zhao, Q. Wan, and Y. Zhou, The role of replanning in fractionated intensity modulated radiotherapy for nasopharyngeal carcinoma, Radiotherapy and Oncology, vol.98, issue.1, pp.23-30, 2011.
DOI : 10.1016/j.radonc.2010.10.009

M. Kam, S. Leung, and B. Zee, Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial Xerostomia and quality of life after intensitymodulated radiotherapy vs. conventional radiotherapy for early-stage nasopharyngeal carcinoma: initial report on a randomized controlled clinical trial Intensity-modulated chemoradiotherapy aiming to reduce dysphagia in patients with oropharyngeal cancer: clinical and functional results Salivary gland-sparing other than parotid-sparing in definitive head-and-neck intensity-modulated radiotherapy does not seem to jeopardize local control, J Clin Oncol Lancet Oncol Int J Radiat Oncol Biol Phys J Clin Oncol Radiat Oncol Int J Radiat Oncol Biol Phys, vol.251232662887636, pp.4873-9127, 2006.

J. Lyman, T. Dijkema, C. Raaijmakers, T. Haken, and R. , Complication probability as assessed from dose-volume histograms Parotid gland function after radiotherapy: the combined michigan and utrecht experience, Radiat Res Suppl Int J Radiat Oncol Biol Phys, vol.83778, pp.13-9449, 1985.

B. Rigaud, A. Simon, and J. Castelli, Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy Visual assessment of the accuracy of retrospective registration of MR and CT images of the brain, Biomed Res Int IEEE Trans Med Imaging, vol.2015391740, pp.726268571-85, 1998.

L. Dice, A. Smith, and D. Mcilvena, Measures of the amount of ecologic association between species A deformable head and neck phantom with in-vivo dosimetry for adaptive radiotherapy quality assurance, Ecology Med Phys, vol.264242, pp.297-3021490, 1945.

N. Kirby, C. Chuang, and J. Pouliot, A two-dimensional deformable phantom for quantitatively verifying deformation algorithms, Medical Physics, vol.55, issue.8, pp.4583-4589, 2011.
DOI : 10.1088/0031-9155/55/21/010

S. Tsuji, A. Hwang, and V. Weinberg, Dosimetric Evaluation of Automatic Segmentation for Adaptive IMRT for Head-and-Neck Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.77, issue.3, pp.707-721, 2010.
DOI : 10.1016/j.ijrobp.2009.06.012

J. Lim, M. Leech, C. Brouwer, R. Steenbakkers, and J. Langendijk, 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? Predicting the need for adaptive radiotherapy in head and neck cancer Decision Trees Predicting Tumor Shrinkage for Head and Neck Cancer: Implications for Adaptive Radiotherapy, Acta Oncol Radiother Oncol Radiother Oncol Technol Cancer Res Treat, vol.551154611615, pp.799-806285, 2015.

I. Madani, W. Duthoy, and C. Derie, Implementation of biologically conformal radiation therapy (BCRT) in an algorithmic segmentation-based inverse planning approach Adaptive biological image-guided IMRT with anatomic and functional imaging in pharyngo-laryngeal tumors: impact on target volume delineation and dose distribution using helical tomotherapy Methodology for adaptive and robust FDG-PET escalated dose painting by numbers in head and neck tumors Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial Adaptive dose painting by numbers for head-andneck cancer Long-term outcome of 18 F-fluorodeoxyglucosepositron emission tomography-guided dose painting for head and neck cancer: Matched case-control study Dose variations in tumor volumes and organs at risk during IMRT for head-and-neck cancer The dosimetric consequences of anatomic changes in head and neck radiotherapy patients, Int J Radiat Oncol Biol Phys Phys Med Biol Radiother Oncol Acta Oncol Radiother Oncol Int J Radiat Oncol Biol Phys Head Neck J Appl Clin Med Phys J Med Imaging Radiat Oncol, vol.685185525510780135458, pp.126-161, 2006.

K. Ho, T. Marchant, and C. Moore, Monitoring Dosimetric Impact of Weight Loss With Kilovoltage (KV) Cone Beam CT (CBCT) During Parotid-Sparing IMRT and Concurrent Chemotherapy, International Journal of Radiation Oncology*Biology*Physics, vol.82, issue.3, pp.375-82, 2012.
DOI : 10.1016/j.ijrobp.2011.07.004

S. Marzi, P. Pinnaro, D. 'alessio, and D. , Anatomical and dose changes of gross tumour volume and parotid glands for head and neck cancer patients during intensity-modulated radiotherapy: effect on the probability of xerostomia incidence Parotid gland dose in intensity-modulated radiotherapy for head and neck cancer: is what you plan what you get? Evaluation of the radiobiological impact of anatomic modifications during radiation therapy for head and neck cancer: can we simply summate the dose? al. Spatial and dosimetric variability of organs at risk in headand-neck intensity-modulated radiotherapy, Clin Oncol (R Coll Radiol) Int J Radiat Oncol Biol Phys Radiother Oncol Int J Radiat Oncol Biol Phys, vol.246996626863, pp.54-621290, 2007.

C. Yip, C. Thomas, and A. Michaelidou, 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, issue.1034, p.20130532, 2014.
DOI : 10.1016/j.ijrobp.2011.08.017