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.
Postoperative irradiation with or without concomitant chemotherapy for locally advanced head and neck cancer, N Engl J Med, 2004. ,
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. ,
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. ,
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. ,
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. ,
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 ,
Intensitymodulated chemoradiotherapy aiming to reduce dysphagia in patients with Oropharyngeal cancer: clinical and functional results, J Clin Oncol ,
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
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. ,
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. ,
Dependence of FDG uptake on tumor microenvironment, Int J Radiat Oncol, vol.62, issue.2, pp.545-553, 2005. ,
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. ,
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. ,
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. ,
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. ,
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. ,
Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial, Radiother Oncol ,
Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer, Radiother Oncol ,
Adaptive dose painting by numbers for head-and-neck cancer, Int J Radiat Oncol ,
Long-term outcome of 18 F-fluorodeoxyglucose-positron emission tomography-guided dose painting for head and neck cancer: Matched case-control study, 2017. ,
A PET-based nomogram for oropharyngeal cancers, Eur J Cancer ,
URL : https://hal.archives-ouvertes.fr/hal-01484701
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
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. ,
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
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.
Radiomics: extracting more information from medical images using advanced feature analysis, Eur J Cancer, vol.48, issue.4, pp.441-446, 2012. ,
Radiomics: images are more than pictures, they are data, Radiology, vol.278, issue.2, pp.563-577, 2016. ,
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
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. ,
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
Robust registration of multi-modal medical images: towards real-time clinical applications, 2001. ,
URL : https://hal.archives-ouvertes.fr/inria-00072254
Euclidean distance mapping, vol.14, pp.227-248, 1980. ,
Initiative for the IBS. Image biomarker standardisation initiative, 2016. ,
Textural features for image classification, IEEE Trans Syst Man Cybern, p.2017, 1973. ,
, , pp.610-621
Individual comparisons by ranking methods, Biometrics Bull, vol.1, issue.6, p.80, 1945. ,
Random Forests, Mach Learn, p.2017, 2001. ,
, , vol.45, pp.5-32
Probability machines: consistent probability estimation using nonparametric learning machines, Methods Inf Med, vol.51, issue.1, pp.74-81, 2012. ,
A Fast Implementation of random forests for high dimensional data in C++ and R, 2015. ,
, , 1996.
Variable selection from random forests: application to gene expression data, 2017. ,
Radiomics: a new application from established techniques. Expert Rev Precis Med drug Dev, p.2017, 2016. ,
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
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. ,
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