J. P. Pignon, J. Bourhis, C. Domenge, and L. Designé, Chemotherapy added to locoregional treatment for head and neck squamous-cell carcinoma: three meta-analyses of updated individual data

, Meta-Analysis of Chemotherapy on Head and Neck Cancer, vol.355, pp.949-955, 2000.

J. Bernier, C. Domenge, M. Ozsahin, K. Matuszewska, J. Lefèbvre et al., Postoperative irradiation with or without concomitant chemotherapy for locally advanced head and neck cancer, N Engl J Med, 2004.

J. Bourhis, C. Sire, P. Graff, V. Grégoire, 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 open-label phase 3 randomised trial, Lancet Oncol, vol.13, issue.2, pp.145-153, 2012.

J. A. Bonner, P. M. Harari, J. Giralt, R. B. Cohen, C. U. 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, Lancet Oncol, vol.11, issue.1, pp.21-28, 2010.

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, J Clin Oncol, vol.25, issue.31, pp.4873-4879, 2007.

C. M. Nutting, J. P. Morden, K. J. Harrington, T. G. Urbano, S. A. Bhide et al., Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial, Lancet Oncol, vol.12, issue.2, pp.127-136, 2011.

E. Pow, D. Kwong, A. S. Mcmillan, M. Wong, J. Sham 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

F. Y. Feng, H. M. Kim, T. H. Lyden, M. J. Haxer, F. P. Worden et al., Intensitymodulated chemoradiotherapy aiming to reduce dysphagia in patients with Oropharyngeal cancer: clinical and functional results, J Clin Oncol

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, Radiat Oncol, vol.8, p.132, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00833043

J. Zhou, D. Fei, and Q. Wu, Potential of intensity-modulated radiotherapy to escalate doses to head-and-neck cancers: What is the maximal dose?, Int J Radiat Oncol, vol.57, issue.3, pp.673-682, 2003.

A. Lauve, M. Morris, R. Schmidt-ullrich, Q. Wu, R. Mohan et al., Simultaneous integrated boost intensity-modulated radiotherapy for locally advanced head-and-neck squamous cell carcinomas: II-clinical results, Int J Radiat Oncol, vol.60, issue.2, pp.374-387, 2004.

A. Pugachev, S. Ruan, S. Carlin, S. M. Larson, J. Campa et al., Dependence of FDG uptake on tumor microenvironment, Int J Radiat Oncol, vol.62, issue.2, pp.545-553, 2005.

P. Dirix, V. Vandecaveye, D. Keyzer, F. Stroobants, S. Hermans et al., Dose painting in radiotherapy for head and neck squamous cell carcinoma: value of repeated functional imaging with 18F-FDG PET, 18F-fluoromisonidazole PET, diffusion-weighted MRI, and dynamic contrast-enhanced MRI, J Nucl Med, vol.50, issue.7, pp.1020-1027, 2009.

I. Madani, W. Duthoy, C. Derie, D. Gersem, W. Boterberg et al., Positron emission tomography-guided, focal-dose escalation using intensitymodulated radiotherapy for head and neck cancer, Int J Radiat Oncol, vol.68, issue.1, pp.126-135, 2007.

B. Vanderstraeten, W. Gersem, . De, W. Duthoy, W. Neve et al., Implementation of biologically conformal radiation therapy (BCRT) in an algorithmic segmentation-based inverse planning approach, Phys Med Biol, vol.51, issue.16, pp.277-286, 2006.

X. Geets, M. Tomsej, J. A. Lee, T. Duprez, E. Coche et al., 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, Radiother Oncol, vol.85, issue.1, pp.105-115, 2007.

S. Differding, E. Sterpin, G. Janssens, F. Hanin, J. A. Lee et al., Methodology for adaptive and robust FDG-PET escalated dose painting by numbers in head and neck tumors, Acta Oncol (Madr, vol.55, issue.2, pp.217-225, 2016.

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, Radiother Oncol

L. Olteanu, D. Berwouts, I. Madani, D. Gersem, W. Vercauteren et al., Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer, Radiother Oncol

F. Duprez, W. De-neve, D. Gersem, W. Coghe, M. Madani et al., Adaptive dose painting by numbers for head-and-neck cancer, Int J Radiat Oncol

D. Berwouts, I. Madani, F. Duprez, A. L. Olteanu, T. Vercauteren et al., Long-term outcome of 18 F-fluorodeoxyglucose-positron emission tomography-guided dose painting for head and neck cancer: Matched case-control study, 2017.

J. Castelli, A. Depeursinge, V. Ndoh, J. O. Prior, M. Ozsahin et al., A PET-based nomogram for oropharyngeal cancers, Eur J Cancer
URL : https://hal.archives-ouvertes.fr/hal-01484701

J. Castelli, A. Depeursinge, A. Devillers, B. Campillo-gimenez, Y. Dicente et al., PET-based prognostic survival model after radiotherapy for head and neck cancer, Eur J Nucl Med Mol Imaging [Internet], 2018.
URL : https://hal.archives-ouvertes.fr/hal-01862535

A. Mohamed, C. E. Cardenas, A. S. Garden, M. J. Awan, C. D. Rock et al., Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions, Radiother Oncol, p.2017, 2017.

A. Chaput, J. Calais, P. Robin, S. Thureau, D. Bourhis et al., Correlation between fluorodeoxyglucose hotspots on pretreatment positron emission tomography/CT and preferential sites of local relapse after chemoradiotherapy for head and neck squamous cell carcinoma, vol.39, pp.1155-1165, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01643973

F. Legot, F. Tixier, M. Hadzic, T. Pinto-leite, C. Gallais et al., Use of baseline 18F-FDG PET scan to identify initial sub-volumes with local failure after concomitant radio-chemotherapy in head and neck cancer

, Oncotarget, vol.9, issue.31, pp.21811-21819, 2018.

P. Lambin, E. Rios-velazquez, R. Leijenaar, S. Carvalho, R. Van-stiphout et al., Radiomics: extracting more information from medical images using advanced feature analysis, Eur J Cancer, vol.48, issue.4, pp.441-446, 2012.

R. J. Gillies, P. E. Kinahan, and H. Hricak, Radiomics: images are more than pictures, they are data, Radiology, vol.278, issue.2, pp.563-577, 2016.

F. Orlhac, C. Nioche, M. Soussan, and I. Buvat, Understanding changes in tumor texture indices in PET: a comparison between visual assessment and index values in simulated and patient data, J Nucl Med, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02401393

R. Mohan, Q. Wu, M. Manning, and R. Schmidt-ullrich, Radiobiological considerations in the design of fractionation strategies for intensitymodulated radiation therapy of head and neck cancers, Int J Radiat Oncol, vol.46, issue.3, pp.619-630, 2000.

S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache, Reconstructing a 3D structure from serial histological sections. Image Vis Comput, vol.19, pp.25-31, 2001.
URL : https://hal.archives-ouvertes.fr/cea-00333669

S. Ourselin, X. Pennec, R. Stefanescu, G. Malandain, and N. Ayache, Robust registration of multi-modal medical images: towards real-time clinical applications, 2001.
URL : https://hal.archives-ouvertes.fr/inria-00072254

P. Danielsson, Euclidean distance mapping, vol.14, pp.227-248, 1980.

A. Zwanenburg, S. Leger, M. Vallières, and S. Löck, Initiative for the IBS. Image biomarker standardisation initiative, 2016.

R. M. Haralick, K. Shanmugam, and I. Dinstein, Textural features for image classification, IEEE Trans Syst Man Cybern, p.2017, 1973.

. Smc-3, , pp.610-621

F. Wilcoxon, Individual comparisons by ranking methods, Biometrics Bull, vol.1, issue.6, p.80, 1945.

L. Breiman, Random Forests, Mach Learn, p.2017, 2001.

, , vol.45, pp.5-32

J. D. Malley, J. Kruppa, A. Dasgupta, K. G. Malley, and A. Ziegler, Probability machines: consistent probability estimation using nonparametric learning machines, Methods Inf Med, vol.51, issue.1, pp.74-81, 2012.

M. N. Wright, A. Ziegler, and . Ranger, A Fast Implementation of random forests for high dimensional data in C++ and R, 2015.

L. Breiman, . Out-of-bag, and . Estimation, , 1996.

R. Díaz-uriarte, A. De-andrés, and S. , Variable selection from random forests: application to gene expression data, 2017.

V. Parekh and M. A. Jacobs, Radiomics: a new application from established techniques. Expert Rev Precis Med drug Dev, p.2017, 2016.

C. Guezennec, D. Bourhis, F. Orlhac, P. Robin, J. Corre et al., Interobserver and segmentation method variability of textural analysis in pretherapeutic FDG PET/CT in head and neck cancer, vol.14, p.214299, 2019.
URL : https://hal.archives-ouvertes.fr/inserm-02236550

S. L. Breen, J. Publicover, D. Silva, S. Pond, G. Brock et al., Intraobserver and interobserver variability in GTV delineation on FDG-PETCT images of head and neck cancers, Int J Radiat Oncol, vol.68, issue.3, pp.763-770, 2007.

S. Gudi, S. Ghosh-laskar, J. P. Agarwal, S. Chaudhari, V. Rangarajan et al., Interobserver variability in the delineation of gross tumour volume and specified organs-at-risk during IMRT for head and neck cancers and the impact of FDG-PET/CT on such variability at the primary site, J Med Imaging Radiat Sci, vol.48, issue.2, pp.184-192, 2017.

, Publisher's Note

, Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations