D. Parkin, F. Bray, J. Ferlay, and P. Pisani, Global Cancer Statistics, 2002, CA: A Cancer Journal for Clinicians, vol.55, issue.2, pp.74-108, 2002.
DOI : 10.3322/canjclin.55.2.74

M. Hayat, N. Howlader, M. Reichman, and B. Edwards, Cancer Statistics, Trends, and Multiple Primary Cancer Analyses from the Surveillance, Epidemiology, and End Results (SEER) Program, The Oncologist, vol.12, issue.1, pp.20-37, 2007.
DOI : 10.1634/theoncologist.12-1-20

V. Gebski, B. Burmeister, B. Smithers, K. Foo, J. Zalcberg et al., Survival benefits from neoadjuvant chemoradiotherapy or chemotherapy in oesophageal carcinoma: a meta-analysis, The Lancet Oncology, vol.8, issue.3, pp.226-234, 2007.
DOI : 10.1016/S1470-2045(07)70039-6

D. Kelsen, K. Winter, and L. Gunderson, Long-Term Results of RTOG Trial 8911 (USA Intergroup 113): A Random Assignment Trial Comparison of Chemotherapy Followed by Surgery Compared With Surgery Alone for Esophageal Cancer, Journal of Clinical Oncology, vol.25, issue.24, pp.3719-3725, 2007.
DOI : 10.1200/JCO.2006.10.4760

M. Stahl, H. Wilke, and M. Stuschke, Clinical response to induction chemotherapy predicts local control and long-term survival in multimodal treatment of patients with locally advanced esophageal cancer, Journal of Cancer Research and Clinical Oncology, vol.21, issue.1, pp.67-72, 2005.
DOI : 10.1007/s00432-004-0604-5

M. Aklilu and D. Ilson, Targeted Agents and Esophageal Cancer???The Next Step?, Seminars in Radiation Oncology, vol.17, issue.1, pp.62-69, 2007.
DOI : 10.1016/j.semradonc.2006.09.006

M. Hatt, D. Visvikis, O. Pradier, and C. Cheze-le-rest, Baseline 18F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.17, issue.1, pp.1595-1606, 2011.
DOI : 10.1007/s00259-011-1834-9

URL : https://hal.archives-ouvertes.fr/inserm-00595534

S. Larson, Y. Erdi, and T. Akhurst, Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging The Visual Response Score and the Change in Total Lesion Glycolysis, Clinical Positron Imaging, vol.2, issue.3, pp.159-171, 1999.
DOI : 10.1016/S1095-0397(99)00016-3

S. Hyun, J. Choi, and Y. Shim, Prognostic Value of Metabolic Tumor Volume Measured by 18F-Fluorodeoxyglucose Positron Emission Tomography in Patients with Esophageal Carcinoma, Annals of Surgical Oncology, vol.34, issue.1, pp.115-122, 2010.
DOI : 10.1245/s10434-009-0719-7

J. Roedl, H. Prabhakar, P. Mueller, R. Colen, and M. Blake, Prediction of Metastatic Disease and Survival in Patients with Gastric and Gastroesophageal Junction Tumors, Academic Radiology, vol.16, issue.2, pp.218-226, 2009.
DOI : 10.1016/j.acra.2008.06.004

M. Mamede, E. Abreu, M. Oliva, V. Nose, H. Mamon et al., FDG-PET/CT tumor segmentation-derived indices of metabolic activity to assess response to neoadjuvant therapy and progressionfree survival in esophageal cancer: correlation with histopathology results Prognostic value of 18F- FDG PET image-based parameters in oesophageal cancer and impact of tumour delineation methodology, Am J Clin Oncol. Eur J Nucl Med Mol Imaging, vol.3038, issue.12, pp.377-3881191, 2007.

R. Wahl, H. Jacene, Y. Kasamon, and M. Lodge, From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors, Journal of Nuclear Medicine, vol.50, issue.Suppl_1, pp.122-150, 2009.
DOI : 10.2967/jnumed.108.057307

H. Lee, S. Hyun, and K. Lee, Volume-Based Parameter of 18F-FDG PET/CT in Malignant Pleural Mesothelioma: Prediction of Therapeutic Response and Prognostic Implications, Annals of Surgical Oncology, vol.34, issue.1, pp.2787-2794, 2010.
DOI : 10.1245/s10434-010-1107-z

T. Cazaentre, F. Morschhauser, and M. Vermandel, Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.29, issue.suppl, pp.494-504, 2010.
DOI : 10.1007/s00259-009-1275-x

F. Tixier, L. Rest, C. Hatt, and M. , Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer, Journal of Nuclear Medicine, vol.52, issue.3, pp.369-378, 2011.
DOI : 10.2967/jnumed.110.082404

URL : https://hal.archives-ouvertes.fr/inserm-00574272

R. Kwee, F FDG PET: A Systematic Review, Radiology, vol.254, issue.3, pp.707-717, 2010.
DOI : 10.1148/radiol.09091324

N. Hoetjes, F. Van-velden, and O. Hoekstra, Partial volume correction strategies for quantitative FDG PET in oncology, European Journal of Nuclear Medicine and Molecular Imaging, vol.43, issue.7, pp.1679-1687, 2010.
DOI : 10.1007/s00259-010-1472-7

M. Hatt, C. Le-rest, C. Descourt, and P. , Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications, International Journal of Radiation Oncology*Biology*Physics, vol.77, issue.1, pp.301-308, 2010.
DOI : 10.1016/j.ijrobp.2009.08.018

URL : https://hal.archives-ouvertes.fr/inserm-00537776

P. Therasse, S. Arbuck, and E. Eisenhauer, New Guidelines to Evaluate the Response to Treatment in Solid Tumors, JNCI: Journal of the National Cancer Institute, vol.92, issue.3, pp.205-216, 2000.
DOI : 10.1093/jnci/92.3.205

N. Boussion, C. Le-rest, C. Hatt, M. Visvikis, and D. , Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging, European Journal of Nuclear Medicine and Molecular Imaging, vol.17, issue.2, pp.1064-1075, 2009.
DOI : 10.1007/s00259-009-1065-5

URL : https://hal.archives-ouvertes.fr/inserm-00537782

S. Chang, B. Yu, and M. Vetterli, Adaptive wavelet thresholding for image denoising and compression, IEEE Transactions on Image Processing, vol.9, issue.9
DOI : 10.1109/83.862633

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Hatt, C. Le-rest, C. Turzo, A. Roux, C. Visvikis et al., A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET, IEEE Transactions on Medical Imaging, vol.28, issue.6, pp.881-893, 2009.
DOI : 10.1109/TMI.2008.2012036

URL : https://hal.archives-ouvertes.fr/inserm-00372910

M. Hatt, C. Le-rest, C. Albarghach, N. Pradier, O. Visvikis et al., PET functional volume delineation: a robustness and repeatability study, European Journal of Nuclear Medicine and Molecular Imaging, vol.97, issue.12, pp.663-672, 2011.
DOI : 10.1007/s00259-010-1688-6

URL : https://hal.archives-ouvertes.fr/inserm-00574273

M. Hatt, C. Rest, C. Aboagye, and E. , Reproducibility of 18F-FDG and 3'-Deoxy-3'-18F-Fluorothymidine PET Tumor Volume Measurements, Journal of Nuclear Medicine, vol.51, issue.9, pp.1368-1376, 2010.
DOI : 10.2967/jnumed.110.078501

URL : https://hal.archives-ouvertes.fr/inserm-00537774

W. Kruskal and W. Wallis, Use of Ranks in One-Criterion Variance Analysis, Journal of the American Statistical Association, vol.3, issue.260, pp.583-621, 1952.
DOI : 10.1080/01621459.1952.10483441

E. Kaplan and P. Meyer, Nonparametric Estimation from Incomplete Observations, Journal of the American Statistical Association, vol.37, issue.282, pp.457-481, 1958.
DOI : 10.1214/aoms/1177731566

C. Metz, Basic principles of ROC analysis, Seminars in Nuclear Medicine, vol.8, issue.4, pp.283-298, 1978.
DOI : 10.1016/S0001-2998(78)80014-2

M. Soret, S. Bacharach, and I. Buvat, Partial-Volume Effect in PET Tumor Imaging, Journal of Nuclear Medicine, vol.48, issue.6, pp.932-945, 2007.
DOI : 10.2967/jnumed.106.035774

M. Hatt and D. Visvikis, Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography/computed tomography: still a Pandora's box?: in regard to Devic Importance of fluorodeoxyglucose-positron emission tomography (FDG-PET) and endoscopic ultrasonography parameters in predicting survival following surgery for esophageal cancer, Int J Radiat Oncol Biol Phys Int J Radiat Oncol Biol Phys. Endoscopy, vol.7840, pp.464-471, 2008.

B. Chatterton, H. Shon, I. Baldey, and A. , Positron emission tomography changes management and prognostic stratification in patients with oesophageal cancer: results of a multicentre prospective study, European Journal of Nuclear Medicine and Molecular Imaging, vol.81, issue.3, pp.354-361, 2009.
DOI : 10.1007/s00259-008-0959-y

F. Hanin, M. Lonneux, and J. Cornet, Prognostic value of FDG uptake in early stage non-small cell lung cancer???, European Journal of Cardio-Thoracic Surgery, vol.33, issue.5, pp.819-823, 2008.
DOI : 10.1016/j.ejcts.2008.02.005