J. Shang, X. Ling, L. Zhang, Y. Tang, Z. Xiao et al., Comparison of RECIST, EORTC criteria and PERCIST for evaluation of early response to chemotherapy in patients with non-small-cell lung cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.14, issue.Suppl 1, pp.1945-53, 2016.
DOI : 10.1016/j.gde.2003.11.007

J. Bazan, F. Duan, B. Snyder, D. Horng, E. Graves et al., Metabolic tumor volume predicts overall survival and local control in patients with stage III non-small cell lung cancer treated in ACRIN 6668/RTOG 0235, European Journal of Nuclear Medicine and Molecular Imaging, vol.167, issue.4, pp.17-24, 2017.
DOI : 10.1093/aje/kwm324

J. Bazan, A. Koong, D. Kapp, A. Quon, E. Graves et al., Metabolic Tumor Volume Predicts Disease Progression and Survival in Patients with Squamous Cell Carcinoma of the Anal Canal, Journal of Nuclear Medicine, vol.54, issue.1, pp.27-32, 2013.
DOI : 10.2967/jnumed.112.109470

M. Gauthe, M. Richard-molard, J. Fayard, J. Alberini, W. Cacheux et al., Prognostic impact of tumour burden assessed by metabolic tumour volume on FDG PET/CT in anal canal cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.84, issue.1, pp.63-70, 2017.
DOI : 10.1016/j.ijrobp.2011.10.048

S. Takeuchi, E. Rohren, R. Abdel-wahab, L. Xiao, J. Morris et al., Refining prognosis in patients with hepatocellular carcinoma through incorporation of metabolic imaging biomarkers, European Journal of Nuclear Medicine and Molecular Imaging, vol.359, issue.6, pp.259-275
DOI : 10.1056/NEJMoa0708857

A. Van-baardwijk, G. Bosmans, L. Boersma, J. Buijsen, S. Wanders et al., PET-CT???Based Auto-Contouring in Non???Small-Cell Lung Cancer Correlates With Pathology and Reduces Interobserver Variability in the Delineation of the Primary Tumor and Involved Nodal Volumes, International Journal of Radiation Oncology*Biology*Physics, vol.68, issue.3, pp.771-779, 2007.
DOI : 10.1016/j.ijrobp.2006.12.067

P. Cheebsumon, R. Boellaard, D. De-ruysscher, W. Van-elmpt, A. Van-baardwijk et al., Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology, EJNMMI Research, vol.2, issue.1, pp.56-66, 2012.
DOI : 10.1088/0031-9155/54/18/009

P. Cheebsumon, F. Van-velden, M. Yaqub, V. Frings, A. De-langen et al., Effects of Image Characteristics on Performance of Tumor Delineation Methods: A Test-Retest Assessment, Journal of Nuclear Medicine, vol.52, issue.10, pp.1550-1558, 2011.
DOI : 10.2967/jnumed.111.088914

P. Cheebsumon, M. Yaqub, F. Van-velden, O. Hoekstra, A. Lammertsma et al., Impact of [18F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology, European Journal of Nuclear Medicine and Molecular Imaging, vol.55, issue.Suppl 1, pp.2136-2180, 2011.
DOI : 10.1088/0031-9155/55/4/013

N. Mikhaeel, D. Smith, J. Dunn, M. Phillips, H. Moller et al., Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.1, pp.1209-1228, 2016.
DOI : 10.1200/JCO.2013.54.8800

L. Lin, A Concordance Correlation Coefficient to Evaluate Reproducibility, Biometrics, vol.45, issue.1, pp.255-68, 1989.
DOI : 10.2307/2532051

C. Lasnon, C. Desmonts, E. Quak, R. Gervais, P. Do et al., Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients, European Journal of Nuclear Medicine and Molecular Imaging, vol.49, issue.Suppl 1, pp.985-96, 2013.
DOI : 10.2967/jnumed.107.050187

C. Lasnon, T. Salomon, C. Desmonts, P. Do, Y. Oulkhouir et al., Generating harmonized SUV within the EANM EARL accreditation program: software approach versus EARL-compliant reconstruction, Annals of Nuclear Medicine, vol.277, issue.2009, pp.12149-12165
DOI : 10.1148/radiol.2015141262

E. Quak, L. Roux, P. Hofman, M. Robin, P. Bourhis et al., Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients, European Journal of Nuclear Medicine and Molecular Imaging, vol.52, issue.Suppl 2
DOI : 10.2967/jnumed.110.085662

URL : https://hal.archives-ouvertes.fr/hal-01276023

, Eur J Nucl Med Mol Imaging, vol.42, pp.2072-82, 2015.

E. Quak, L. Roux, P. Lasnon, C. Robin, P. Hofman et al., Does PET SUV harmonization impact PERCIST response classification? Journal of nuclear medicine : official publication
DOI : 10.2967/jnumed.115.171983

URL : http://jnm.snmjournals.org/content/57/11/1699.full.pdf

G. Hanna, A. Hounsell, O. Sullivan, and J. , Geometrical Analysis of Radiotherapy Target Volume Delineation: a Systematic Review of Reported Comparison Methods, Clinical Oncology, vol.22, issue.7, pp.515-540, 2010.
DOI : 10.1016/j.clon.2010.05.006

G. Kuhnert, R. Boellaard, S. Sterzer, D. Kahraman, M. Scheffler et al., Impact of PET/CT image reconstruction methods and liver uptake normalization strategies on quantitative image analysis, Eur J Nucl Med Mol Imaging, pp.259-274

D. Kadrmas, M. Casey, M. Conti, B. Jakoby, C. Lois et al., Impact of Time-of-Flight on PET Tumor Detection, Journal of Nuclear Medicine, vol.50, issue.8, pp.1315-1338, 2009.
DOI : 10.2967/jnumed.109.063016

J. Callahan, T. Kron, M. Schneider-kolsky, L. Dunn, M. Thompson et al., Validation of a 4D-PET Maximum Intensity Projection for Delineation of an Internal Target Volume, International Journal of Radiation Oncology*Biology*Physics, vol.86, issue.4, pp.749-54, 2013.
DOI : 10.1016/j.ijrobp.2013.02.030

X. Geets, J. Lee, A. Bol, M. Lonneux, and V. Gregoire, A gradient-based method for segmenting FDG-PET images: methodology and validation, European Journal of Nuclear Medicine and Molecular Imaging, vol.10, issue.Suppl 2, pp.1427-1465, 2007.
DOI : 10.1016/0360-3016(91)90170-9

O. Dunn, Multiple Comparisons Using Rank Sums, Technometrics, vol.40, issue.3, pp.241-52, 1964.
DOI : 10.1214/aoms/1177731207

V. Bettinardi, L. Presotto, E. Rapisarda, M. Picchio, L. Gianolli et al., Physical Performance of the new hybrid PET/CT Discovery-690, Medical Physics, vol.18, issue.264, pp.5394-411, 2011.
DOI : 10.1109/TNS.2003.817327

F. Kotasidis and H. Zaidi, Experimental evaluation and basis function optimization of the spatially variant image-space PSF on the Ingenuity PET/MR scanner, Medical Physics, vol.55, issue.6Part1, 2014.
DOI : 10.1088/0031-9155/55/17/011

V. Panin, F. Kehren, C. Michel, and M. Casey, Fully 3-D PET reconstruction with system matrix derived from point source measurements, IEEE Transactions on Medical Imaging, vol.25, issue.7, pp.907-928, 2006.
DOI : 10.1109/TMI.2006.876171

J. Nuyts, Unconstrained image reconstruction with resolution modelling does not have a unique solution, EJNMMI Physics, vol.31, issue.1, p.98, 2014.
DOI : 10.1109/TMI.2011.2173766

URL : https://ejnmmiphys.springeropen.com/track/pdf/10.1186/s40658-014-0098-4

J. Rogasch, F. Hofheinz, A. Lougovski, C. Furth, J. Ruf et al., The influence of different signal-to-background ratios on spatial resolution and F18-FDG-PET quantification using point spread function and time-of-flight reconstruction, EJNMMI Physics, vol.1, issue.1, pp.12-22, 2014.
DOI : 10.1118/1.3301610

G. Zeng, Gibbs Artifact Reduction by Nonnegativity Constraint, Journal of Nuclear Medicine Technology, vol.39, issue.3, pp.213-222, 2011.
DOI : 10.2967/jnmt.110.086439

A. Schaefer, S. Kremp, D. Hellwig, R. C. Kirsch, C. Nestle et al., A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data, European Journal of Nuclear Medicine and Molecular Imaging, vol.31, issue.11, pp.1989-99, 2008.
DOI : 10.1016/j.ijrobp.2004.12.089

A. Schaefer, U. Nestle, S. Kremp, D. Hellwig, A. Grgic et al., Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer, Nuklearmedizin, vol.51, issue.3, pp.101-111, 2012.
DOI : 10.3413/Nukmed-0452-11-12

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.663-72, 2011.
DOI : 10.1109/JPROC.2009.2027925

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

T. Konert, W. Vogel, M. Macmanus, U. Nestle, J. Belderbos et al., PET/CT imaging for target volume delineation in curative intent radiotherapy of non-small cell lung cancer: IAEA consensus report 2014, Radiotherapy and Oncology, vol.116, issue.1, pp.27-34, 2015.
DOI : 10.1016/j.radonc.2015.03.014