TY - STD TI - Pignon JP, Bourhis J, Domenge C, Designé L. 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. Lancet (London, England) [Internet]. 2000 [cited 2017 Dec 30];355(9208):949–955. Available from: http://www.ncbi.nlm.nih.gov/pubmed/10768432 UR - http://www.ncbi.nlm.nih.gov/pubmed/10768432 ID - ref1 ER - TY - STD TI - Bernier J, Domenge C, Ozsahin M, Matuszewska K, Lefèbvre J-L, Greiner RH, et al. Postoperative irradiation with or without concomitant chemotherapy for locally advanced head and neck cancer. N Engl J Med [Internet]. 2004 [cited 2017 Dec 30];350(19):1945–1952. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15128894 UR - http://www.ncbi.nlm.nih.gov/pubmed/15128894 ID - ref2 ER - TY - STD TI - Bourhis J, Sire C, Graff P, Grégoire V, Maingon P, Calais G, 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 [Internet]. 2012 [cited 2017 Dec 30];13(2):145–153. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22261362 UR - http://www.ncbi.nlm.nih.gov/pubmed/22261362 ID - ref3 ER - TY - STD TI - Bonner JA, Harari PM, Giralt J, Cohen RB, Jones CU, Sur RK, 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 [Internet]. 2010 [cited 2017 Dec 30];11(1):21–28. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19897418 UR - http://www.ncbi.nlm.nih.gov/pubmed/19897418 ID - ref4 ER - TY - STD TI - Kam MKM, Leung S-F, Zee B, Chau RMC, Suen JJS, Mo F, et al. Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients. J Clin Oncol [Internet]. 2007 [cited 2017 Dec 30];25(31):4873–4879. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17971582 UR - http://www.ncbi.nlm.nih.gov/pubmed/17971582 ID - ref5 ER - TY - STD TI - Nutting CM, Morden JP, Harrington KJ, Urbano TG, Bhide SA, Clark C, et al. Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial. Lancet Oncol [Internet]. 2011 [cited 2017 Dec 30];12(2):127–136. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21236730 UR - http://www.ncbi.nlm.nih.gov/pubmed/21236730 ID - ref6 ER - TY - STD TI - Pow EHN, Kwong DLW, McMillan AS, Wong MCM, Sham JST, Leung LHT, 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 [Internet]. 2006 [cited 2017 Dec 30];66(4):981–991. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17145528 UR - http://www.ncbi.nlm.nih.gov/pubmed/17145528 ID - ref7 ER - TY - STD TI - Feng FY, Kim HM, Lyden TH, Haxer MJ, Worden FP, Feng M, et al. Intensity-modulated chemoradiotherapy aiming to reduce dysphagia in patients with Oropharyngeal cancer: clinical and functional results. J Clin Oncol [Internet]. 2010 [cited 2017 Dec 30];28(16):2732–2738. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20421546 UR - http://www.ncbi.nlm.nih.gov/pubmed/20421546 ID - ref8 ER - TY - STD TI - Chajon E, Lafond C, Louvel G, Castelli J, Williaume D, Henry O, 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 [Internet]. 2013 [cited 2017 Dec 30];8:132. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23721062 UR - http://www.ncbi.nlm.nih.gov/pubmed/23721062 ID - ref9 ER - TY - STD TI - Zhou J, Fei D, Wu Q. Potential of intensity-modulated radiotherapy to escalate doses to head-and-neck cancers: What is the maximal dose? Int J Radiat Oncol [Internet]. 2003 [cited 2017 Dec 31];57(3):673–682. Available from: https://www.sciencedirect.com/science/article/pii/S0360301603006266 UR - https://www.sciencedirect.com/science/article/pii/S0360301603006266 ID - ref10 ER - TY - STD TI - Lauve A, Morris M, Schmidt-Ullrich R, Wu Q, Mohan R, Abayomi O, et al. Simultaneous integrated boost intensity-modulated radiotherapy for locally advanced head-and-neck squamous cell carcinomas: II—clinical results. Int J Radiat Oncol [Internet]. 2004 [cited 2017 Dec 31];60(2):374–387. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15380569 UR - http://www.ncbi.nlm.nih.gov/pubmed/15380569 ID - ref11 ER - TY - STD TI - Pugachev A, Ruan S, Carlin S, Larson SM, Campa J, Ling CC, et al. Dependence of FDG uptake on tumor microenvironment. Int J Radiat Oncol [Internet]. 2005 [cited 2017 Dec 30];62(2):545–553. Available from: https://www.sciencedirect.com/science/article/pii/S0360301605002956 UR - https://www.sciencedirect.com/science/article/pii/S0360301605002956 ID - ref12 ER - TY - STD TI - Dirix P, Vandecaveye V, De Keyzer F, Stroobants S, Hermans R, Nuyts S. 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 [Internet]. 2009 [cited 2018 Dec 5];50(7):1020–1027. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19525447 UR - http://www.ncbi.nlm.nih.gov/pubmed/19525447 ID - ref13 ER - TY - STD TI - Madani I, Duthoy W, Derie C, De Gersem W, Boterberg T, Saerens M, et al. Positron emission tomography-guided, focal-dose escalation using intensity-modulated radiotherapy for head and neck cancer. Int J Radiat Oncol [Internet]. 2007 [cited 2017 Dec 30];68(1):126–135. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17448871 UR - http://www.ncbi.nlm.nih.gov/pubmed/17448871 ID - ref14 ER - TY - STD TI - Vanderstraeten B, Gersem W De, Duthoy W, Neve W De, Thierens H. Implementation of biologically conformal radiation therapy (BCRT) in an algorithmic segmentation-based inverse planning approach. Phys Med Biol [Internet]. 2006 [cited 2017 Dec 30];51(16):N277–N286. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16885610 UR - http://www.ncbi.nlm.nih.gov/pubmed/16885610 ID - ref15 ER - TY - STD TI - Geets X, Tomsej M, Lee JA, Duprez T, Coche E, Cosnard G, 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 [Internet]. 2007 [cited 2017 Dec 30];85(1):105–115. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17562346 UR - http://www.ncbi.nlm.nih.gov/pubmed/17562346 ID - ref16 ER - TY - STD TI - Differding S, Sterpin E, Janssens G, Hanin F-X, Lee JA, Grégoire V. Methodology for adaptive and robust FDG-PET escalated dose painting by numbers in head and neck tumors. Acta Oncol (Madr) [Internet] 2016 [cited 2017 Dec 30];55(2):217–225. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26079436 UR - http://www.ncbi.nlm.nih.gov/pubmed/26079436 ID - ref17 ER - TY - STD TI - Berwouts D, Olteanu LAM, Duprez F, Vercauteren T, De Gersem W, De Neve W, et al. Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial. Radiother Oncol [Internet]. 2013 [cited 2017 Dec 30];107(3):310–316. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23647760 UR - http://www.ncbi.nlm.nih.gov/pubmed/23647760 ID - ref18 ER - TY - STD TI - Olteanu LAM, Berwouts D, Madani I, De Gersem W, Vercauteren T, Duprez F, et al. Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer. Radiother Oncol [Internet]. 2014 [cited 2017 Dec 30];111(3):348–353. Available from: http://www.sciencedirect.com/science/article/pii/S0167814014001297 UR - http://www.sciencedirect.com/science/article/pii/S0167814014001297 ID - ref19 ER - TY - STD TI - Duprez F, De Neve W, De Gersem W, Coghe M, Madani I. Adaptive dose painting by numbers for head-and-neck cancer. Int J Radiat Oncol [Internet]. 2011 [cited 2017 Dec 30];80(4):1045–1055. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20643512 UR - http://www.ncbi.nlm.nih.gov/pubmed/20643512 ID - ref20 ER - TY - STD TI - Berwouts D, Madani I, Duprez F, Olteanu AL, Vercauteren T, Boterberg T, et al. Long-term outcome of 18 F-fluorodeoxyglucose-positron emission tomography-guided dose painting for head and neck cancer: Matched case-control study. Head Neck [Internet]. 2017 [cited 2017 Dec 30];39(11):2264–2275. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28833829 UR - http://www.ncbi.nlm.nih.gov/pubmed/28833829 ID - ref21 ER - TY - STD TI - Castelli J, Depeursinge A, Ndoh V, Prior JO, Ozsahin M, Devillers A, et al. A PET-based nomogram for oropharyngeal cancers. Eur J Cancer [Internet]. 2017 [cited 2017 Dec 30];75:222–230. Available from: http://linkinghub.elsevier.com/retrieve/pii/S095980491730076X UR - http://linkinghub.elsevier.com/retrieve/pii/S095980491730076X ID - ref22 ER - TY - STD TI - Castelli J, Depeursinge A, Devillers A, Campillo-Gimenez B, Dicente Y, Prior JO, et al. PET-based prognostic survival model after radiotherapy for head and neck cancer. Eur J Nucl Med Mol Imaging [Internet]. 2018 [cited 2018 Dec 5]; Available from: http://www.ncbi.nlm.nih.gov/pubmed/30132054 UR - http://www.ncbi.nlm.nih.gov/pubmed/30132054 ID - ref23 ER - TY - STD TI - Mohamed ASR, Cardenas CE, Garden AS, Awan MJ, Rock CD, Westergaard SA, 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 [Internet]. 2017 [cited 2017 Oct 3];124(2):248–255. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28774596 UR - http://www.ncbi.nlm.nih.gov/pubmed/28774596 ID - ref24 ER - TY - STD TI - Chaput A, Calais J, Robin P, Thureau S, Bourhis D, Modzelewski R, 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. Head Neck [Internet]. 2017 [cited 2019 Jul 11];39(6):1155–1165. Available from: http://doi.wiley.com/10.1002/hed.24738 UR - http://doi.wiley.com/10.1002/hed.24738 ID - ref25 ER - TY - STD TI - Legot F, Tixier F, Hadzic M, Pinto-Leite T, Gallais C, Perdrisot R, 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 [Internet]. 2018 [cited 2018 Nov 21];9(31):21811–21819. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29774104 UR - http://www.ncbi.nlm.nih.gov/pubmed/29774104 ID - ref26 ER - TY - STD TI - Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RGPM, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer [Internet]. 2012 [cited 2017 Dec 26];48(4):441–446. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22257792 UR - http://www.ncbi.nlm.nih.gov/pubmed/22257792 ID - ref27 ER - TY - STD TI - Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology [Internet]. 2016 [cited 2018 Nov 22];278(2):563–577. Available from: http://pubs.rsna.org/doi/10.1148/radiol.2015151169 UR - http://pubs.rsna.org/doi/10.1148/radiol.2015151169 ID - ref28 ER - TY - STD TI - Orlhac F, Nioche C, Soussan M, Buvat I. Understanding changes in tumor texture indices in PET: a comparison between visual assessment and index values in simulated and patient data. J Nucl Med [Internet]. 2017 [cited 2018 Dec 5];58(3):387–392. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27754906 UR - http://www.ncbi.nlm.nih.gov/pubmed/27754906 ID - ref29 ER - TY - STD TI - Mohan R, Wu Q, Manning M, Schmidt-Ullrich R. Radiobiological considerations in the design of fractionation strategies for intensity-modulated radiation therapy of head and neck cancers. Int J Radiat Oncol [Internet]. 2000 [cited 2017 Sep 27];46(3):619–630. Available from: http://www.sciencedirect.com/science/article/pii/S0360301699004381 UR - http://www.sciencedirect.com/science/article/pii/S0360301699004381 ID - ref30 ER - TY - STD TI - Ourselin S, Roche A, Subsol G, Pennec X, Ayache N. Reconstructing a 3D structure from serial histological sections. Image Vis Comput [Internet]. 2001 [cited 2017 Sep 27];19(1–2):25–31. Available from: http://www.sciencedirect.com/science/article/pii/S0262885600000524 UR - http://www.sciencedirect.com/science/article/pii/S0262885600000524 ID - ref31 ER - TY - STD TI - Ourselin S, Pennec X, Stefanescu R, Malandain G, Ayache N. Robust registration of multi-modal medical images: towards real-time clinical applications. 2001 [cited 2017 Sep 27]; Available from: https://hal.archives-ouvertes.fr/inria-00072254/ UR - https://hal.archives-ouvertes.fr/inria-00072254/ ID - ref32 ER - TY - STD TI - Danielsson P-E. Euclidean distance mapping. Comput Graph Image Process [Internet]. 1980 [cited 2017 Dec 22];14(3):227–248. Available from: http://www.sciencedirect.com/science/article/pii/0146664X80900544 UR - http://www.sciencedirect.com/science/article/pii/0146664X80900544 ID - ref33 ER - TY - STD TI - Zwanenburg A, Leger S, Vallières M, Löck S, Initiative for the IBS. Image biomarker standardisation initiative. 2016 [cited 2017 Dec 26]; Available from: http://arxiv.org/abs/1612.07003 UR - http://arxiv.org/abs/1612.07003 ID - ref34 ER - TY - STD TI - Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern [Internet]. 1973 [cited 2017 Oct 2];SMC-3(6):610–621. Available from: http://ieeexplore.ieee.org/document/4309314/ UR - http://ieeexplore.ieee.org/document/4309314/ ID - ref35 ER - TY - STD TI - Wilcoxon F. Individual comparisons by ranking methods. Biometrics Bull [Internet]. 1945 [cited 2017 Oct 2];1(6):80. Available from: http://www.jstor.org/stable/10.2307/3001968?origin=crossref UR - http://www.jstor.org/stable/10.2307/3001968?origin=crossref ID - ref36 ER - TY - STD TI - Breiman L. Random Forests. Mach Learn [Internet]. 2001 [cited 2017 Oct 2];45(1):5–32. Available from: http://link.springer.com/10.1023/A:1010933404324 UR - http://link.springer.com/10.1023/A:1010933404324 ID - ref37 ER - TY - STD TI - Malley JD, Kruppa J, Dasgupta A, Malley KG, Ziegler A. Probability machines: consistent probability estimation using nonparametric learning machines. Methods Inf Med [Internet]. 2012 [cited 2017 Oct 2];51(1):74–81. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21915433 UR - http://www.ncbi.nlm.nih.gov/pubmed/21915433 ID - ref38 ER - TY - STD TI - Wright MN, Ziegler A. ranger: A Fast Implementation of random forests for high dimensional data in C++ and R. 2015 [cited 2017 Oct 2]; Available from: http://arxiv.org/abs/1508.04409 UR - http://arxiv.org/abs/1508.04409 ID - ref39 ER - TY - STD TI - Breiman L. OUT-OF-BAG ESTIMATION. 1996 [cited 2017 Dec 22]; Available from: https://www.stat.berkeley.edu/~breiman/OOBestimation.pdf UR - https://www.stat.berkeley.edu/~breiman/OOBestimation.pdf ID - ref40 ER - TY - STD TI - Díaz-Uriarte R, Alvarez De Andrés S. Variable selection from random forests: application to gene expression data. [cited 2017 Dec 24]; Available from: http://ligarto.org/rdiaz UR - http://ligarto.org/rdiaz ID - ref41 ER - TY - STD TI - Parekh V, Jacobs MA. Radiomics: a new application from established techniques. Expert Rev Precis Med drug Dev [Internet]. 2016 [cited 2017 Dec 22];1(2):207–226. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28042608 UR - http://www.ncbi.nlm.nih.gov/pubmed/28042608 ID - ref42 ER - TY - STD TI - Guezennec C, Bourhis D, Orlhac F, Robin P, Corre J-B, Delcroix O, et al. Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer. Hutson AD, editor. PLoS One [Internet]. 2019 [cited 2019 Jul 11];14(3):e0214299. Available from: http://dx.plos.org/10.1371/journal.pone.0214299 UR - http://dx.plos.org/10.1371/journal.pone.0214299 ID - ref43 ER - TY - STD TI - Breen SL, Publicover J, De Silva S, Pond G, Brock K, O’Sullivan B, et al. Intraobserver and interobserver variability in GTV delineation on FDG-PETCT images of head and neck cancers. Int J Radiat Oncol [Internet]. 2007 [cited 2019 Jul 11];68(3):763–770. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17379435 UR - http://www.ncbi.nlm.nih.gov/pubmed/17379435 ID - ref44 ER - TY - STD TI - Gudi S, Ghosh-Laskar S, Agarwal JP, Chaudhari S, Rangarajan V, Nojin Paul S, 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 [Internet]. 2017 [cited 2019 Jul 11];48(2):184–192. Available from: https://www.sciencedirect.com/science/article/pii/S1939865416301679 UR - https://www.sciencedirect.com/science/article/pii/S1939865416301679 ID - ref45 ER -