Global cancer statistics, CA: A Cancer Journal for Clinicians, vol.82, issue.19 suppl, pp.69-90, 2011. ,
DOI : 10.3322/caac.20107
Image-derived biomarkers and multimodal imaging strategies for lung cancer management, European Journal of Nuclear Medicine and Molecular Imaging, vol.264, issue.Suppl 2, 2015. ,
DOI : 10.1007/s00259-014-2974-5
Are Pretreatment 18F-FDG PET Tumor Textural Features in Non-Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?, Journal of Nuclear Medicine, vol.54, issue.1, pp.19-26, 2013. ,
DOI : 10.2967/jnumed.112.107375
Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer, Journal of Nuclear Medicine, vol.55, issue.8, pp.1235-1276, 2014. ,
DOI : 10.2967/jnumed.113.133389
URL : https://hal.archives-ouvertes.fr/inserm-01074715
18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort, Journal of Nuclear Medicine, vol.56, issue.1, pp.38-44, 2015. ,
DOI : 10.2967/jnumed.114.144055
F-FDG Uptake at PET???Association with Treatment Response and Prognosis, Radiology, vol.276, issue.3, 2015. ,
DOI : 10.1148/radiol.2015141309
Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non-Small Cell Lung Cancer, Clinical Cancer Research, vol.19, issue.13, pp.3591-3600, 2013. ,
DOI : 10.1158/1078-0432.CCR-12-1307
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach, Nat. Commun, vol.5, p.4006, 2014. ,
Non???Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT, Radiology, vol.266, issue.1, pp.326-362, 2013. ,
DOI : 10.1148/radiol.12112428
Prognostic Value and Reproducibility of??Pretreatment CT Texture Features in Stage III Non-Small Cell Lung Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.90, issue.4, pp.834-876, 2014. ,
DOI : 10.1016/j.ijrobp.2014.07.020
Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome, Clinical Cancer Research, vol.21, issue.2, pp.249-57, 2015. ,
DOI : 10.1158/1078-0432.CCR-14-0990
Quantitative assessment of tumor metabolism using FDG-PET imaging, Nuclear Medicine and Biology, vol.27, issue.7, pp.683-690, 2000. ,
DOI : 10.1016/S0969-8051(00)00141-4
Quantification of intra-tumour cell proliferation heterogeneity using imaging descriptors of 18F fluorothymidine-positron emission tomography, Physics in Medicine and Biology, vol.58, issue.2, p.187, 2013. ,
DOI : 10.1088/0031-9155/58/2/187
Quantifying tumour heterogeneity with CT, Cancer Imaging, vol.13, issue.1, pp.140-149, 2013. ,
DOI : 10.1102/1470-7330.2013.0015
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613789
Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer, Radiotherapy and Oncology, vol.102, issue.2, pp.239-284, 2012. ,
DOI : 10.1016/j.radonc.2011.10.014
Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma, PLOS ONE, vol.23, issue.3, p.118261, 2015. ,
DOI : 10.1371/journal.pone.0118261.s010
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET, IEEE Transactions on Medical Imaging, vol.28, issue.6, pp.881-93, 2009. ,
DOI : 10.1109/TMI.2008.2012036
URL : https://hal.archives-ouvertes.fr/inserm-00372910
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.301-309, 2010. ,
DOI : 10.1016/j.ijrobp.2009.08.018
URL : https://hal.archives-ouvertes.fr/inserm-00537776
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 : 10.1007/s00259-010-1688-6
URL : https://hal.archives-ouvertes.fr/inserm-00574273
Semiautomatic methods for segmentation of the proliferative tumour volume on sequential FLT PET/CT images in head and neck carcinomas and their relation to clinical outcome, European Journal of Nuclear Medicine and Molecular Imaging, vol.51, issue.5, pp.915-939, 2014. ,
DOI : 10.1007/s00259-013-2651-0
Reproducibility of functional volume and activity concentration in 18F-FDG PET/CT of liver metastases in colorectal cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.18, issue.Suppl 1, pp.1858-67, 2012. ,
DOI : 10.1007/s00259-012-2233-6
URL : https://hal.archives-ouvertes.fr/hal-01185294
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation, PLoS ONE, vol.1, issue.7, p.102107, 2014. ,
DOI : 10.1371/journal.pone.0102107.s002
Reproducibility of Tumor Uptake Heterogeneity Characterization Through Textural Feature Analysis in 18F-FDG PET, Journal of Nuclear Medicine, vol.53, issue.5, pp.693-700, 2012. ,
DOI : 10.2967/jnumed.111.099127
URL : https://hal.archives-ouvertes.fr/inserm-00721377
18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi-Cancer Site Patient Cohort, Journal of Nuclear Medicine, vol.56, issue.1, pp.38-44, 2015. ,
DOI : 10.2967/jnumed.114.144055
High quality machine-robust image features: Identification in nonsmall cell lung cancer computed tomography images, Medical Physics, vol.37, issue.11, p.121916, 2013. ,
DOI : 10.1118/1.3496356
Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.44, issue.Spec No 1, pp.1662-71, 2013. ,
DOI : 10.1007/s00259-013-2486-8
The Reference Image Database to Evaluate Response to Therapy in Lung Cancer (RIDER) Project: A Resource for the Development of Change-Analysis Software, Clinical Pharmacology & Therapeutics, vol.9, issue.4, pp.448-56, 2008. ,
DOI : 10.1016/j.acra.2006.07.012
Statistics Without Maths for Psychology. 5 edition, 2011. ,
Index for rating diagnostic tests, Cancer, vol.3, issue.1, pp.32-37, 1950. ,
DOI : 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, J. R. Stat. Soc. Ser. B Methodol, vol.57, pp.289-300, 1995. ,
Reproducibility of 18F-FDG and 3'-Deoxy-3'-18F-Fluorothymidine PET Tumor Volume Measurements, Journal of Nuclear Medicine, vol.51, issue.9, pp.1368-76, 2010. ,
DOI : 10.2967/jnumed.110.078501
URL : https://hal.archives-ouvertes.fr/inserm-00537774
Lung cancer proliferation correlates with [F-18]fluorodeoxyglucose uptake by positron emission tomography, Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res, vol.6, pp.3837-3881, 2000. ,
Overexpression of Glut-1 and increased glucose metabolism in tumors are associated with a poor prognosis in patients with oral squamous cell carcinoma, Cancer, vol.28, issue.4, pp.1015-1039, 2003. ,
DOI : 10.1002/cncr.11159
Correlation of Intra-Tumor 18F-FDG Uptake Heterogeneity Indices with Perfusion CT Derived Parameters in Colorectal Cancer, PLoS ONE, vol.19, issue.1, p.99567, 2014. ,
DOI : 10.1371/journal.pone.0099567.t003
[18F]FMISO and [18F]FDG PET imaging in soft tissue sarcomas: correlation of hypoxia, metabolism and VEGF expression, European Journal of Nuclear Medicine and Molecular Imaging, vol.30, issue.5, pp.695-704, 2003. ,
DOI : 10.1007/s00259-002-1096-7
Prognosis of Small Adenocarcinoma of the Lung Based on Thin-Section Computed Tomography and Pathological Preparations, Journal of Computer Assisted Tomography, vol.32, issue.3, pp.426-457, 2008. ,
DOI : 10.1097/RCT.0b013e31811edc93
Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival, European Radiology, vol.36, issue.4 Suppl, pp.796-802, 2012. ,
DOI : 10.1007/s00330-011-2319-8
Impact of Image Reconstruction Settings on Texture Features in 18F-FDG PET, Journal of Nuclear Medicine, vol.56, issue.11, pp.1667-73, 2015. ,
DOI : 10.2967/jnumed.115.156927
Comparison of Texture Features Derived from Static and Respiratory-Gated PET Images in Non-Small Cell Lung Cancer, PLoS ONE, vol.53, issue.12, p.115510, 2014. ,
DOI : 10.1371/journal.pone.0115510.t003