J. W. Lenders, Q. Duh, G. Eisenhofer, A. Gimenez-roqueplo, S. K. Grebe et al., Pheochromocytoma and Paraganglioma: An Endocrine Society Clinical Practice Guideline, The Journal of Clinical Endocrinology & Metabolism, vol.99, issue.6, pp.1915-1942, 2014.

R. A. Toledo, N. Burnichon, A. Cascon, D. E. Benn, J. Bayley et al., Consensus Statement on next-generation-sequencing-based diagnostic testing of hereditary phaeochromocytomas and paragangliomas, Nature Reviews Endocrinology, vol.13, issue.4, pp.233-247, 2016.

A. Van-berkel, K. Pacak, and J. W. Lenders, Should every patient diagnosed with a phaeochromocytoma have a123I-MIBG scintigraphy?, Clinical Endocrinology, vol.81, issue.3, pp.329-333, 2014.

D. Taieb, F. Sebag, J. G. Hubbard, O. Mundler, J. F. Henry et al., Does iodine-131 meta-iodobenzylguanidine (MIBG) scintigraphy have an impact on the management of sporadic and familial phaeochromocytoma?, Clinical Endocrinology, vol.61, issue.1, pp.102-108, 2004.

A. Gimenez-roqueplo, A. Caumont-prim, C. Houzard, C. Hignette, A. Hernigou et al., Imaging Work-Up for Screening of Paraganglioma and Pheochromocytoma inSDHxMutation Carriers: A Multicenter Prospective Study from the PGL.EVA Investigators, The Journal of Clinical Endocrinology & Metabolism, vol.98, issue.1, pp.E162-E173, 2013.

V. Amodru, C. Guerin, S. Delcourt, P. Romanet, A. Loundou et al., Quantitative 18F-DOPA PET/CT in pheochromocytoma: the relationship between tumor secretion and its biochemical phenotype, European Journal of Nuclear Medicine and Molecular Imaging, vol.45, issue.2, pp.278-282, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01876274

M. Luster, W. Karges, K. Zeich, S. Pauls, F. A. Verburg et al., Clinical value of 18F-fluorodihydroxyphenylalanine positron emission tomography/computed tomography (18F-DOPA PET/CT) for detecting pheochromocytoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.3, pp.484-493, 2009.

A. Moreau, A. L. Giraudet, D. Kryza, F. Borson-chazot, C. Bournaud et al., Quantitative analysis of normal and pathologic adrenal glands with 18F-FDOPA PET/CT, Nuclear Medicine Communications, vol.38, issue.9, pp.771-779, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02139119

H. J. Timmers, A. Kozupa, C. C. Chen, J. A. Carrasquillo, A. Ling et al., Superiority of Fluorodeoxyglucose Positron Emission Tomography to Other Functional Imaging Techniques in the Evaluation of Metastatic SDHB-Associated Pheochromocytoma and Paraganglioma, Journal of Clinical Oncology, vol.25, issue.16, pp.2262-2269, 2007.

D. Taïeb, R. J. Hicks, E. Hindié, B. A. Guillet, A. Avram et al., European Association of Nuclear Medicine Practice Guideline/Society of Nuclear Medicine and Molecular Imaging Procedure Standard 2019 for radionuclide imaging of phaeochromocytoma and paraganglioma, European Journal of Nuclear Medicine and Molecular Imaging, vol.46, issue.10, pp.2112-2137, 2019.

A. Tiwari, N. Shah, V. Sarathi, G. Malhotra, G. Bakshi et al., Genetic status determines 18 F-FDG uptake in pheochromocytoma/paraganglioma, Journal of Medical Imaging and Radiation Oncology, vol.61, issue.6, pp.745-752, 2017.

A. Van-berkel, J. U. Rao, B. Kusters, T. Demir, E. Visser et al., Correlation Between In Vivo 18F-FDG PET and Immunohistochemical Markers of Glucose Uptake and Metabolism in Pheochromocytoma and Paraganglioma, Journal of Nuclear Medicine, vol.55, issue.8, pp.1253-1259, 2014.

H. J. Timmers, C. C. Chen, J. A. Carrasquillo, M. Whatley, A. Ling et al., Staging and Functional Characterization of Pheochromocytoma and Paraganglioma by 18F-Fluorodeoxyglucose (18F-FDG) Positron Emission Tomography, JNCI: Journal of the National Cancer Institute, vol.104, issue.9, pp.700-708, 2012.

D. Taieb, F. Sebag, A. Barlier, L. Tessonnier, F. F. Palazzo et al., 18F-FDG Avidity of Pheochromocytomas and Paragangliomas: A New Molecular Imaging Signature?, Journal of Nuclear Medicine, vol.50, issue.5, pp.711-717, 2009.

M. F. Bozkurt, I. Virgolini, S. Balogova, M. Beheshti, D. Rubello et al., Guideline for PET/CT imaging of neuroendocrine neoplasms with 68Ga-DOTA-conjugated somatostatin receptor targeting peptides and 18F?DOPA, European Journal of Nuclear Medicine and Molecular Imaging, vol.44, issue.9, pp.1588-1601, 2017.

P. Lambin, E. Rios-velazquez, R. Leijenaar, S. Carvalho, R. G. Van-stiphout et al., Radiomics: Extracting more information from medical images using advanced feature analysis, European Journal of Cancer, vol.48, issue.4, pp.441-446, 2012.

M. Hatt, F. Tixier, L. Pierce, P. E. Kinahan, C. C. Le-rest et al., Characterization of PET/CT images using texture analysis: the past, the present? any future?, European Journal of Nuclear Medicine and Molecular Imaging, vol.44, issue.1, pp.151-165, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01330349

G. Zhang, B. Shi, H. Sun, Z. Jin, and H. Xue, Differentiating pheochromocytoma from lipid-poor adrenocortical adenoma by CT texture analysis: feasibility study, Abdominal Radiology, vol.42, issue.9, pp.2305-2313, 2017.

M. Nakajo, M. Jinguji, M. Nakajo, T. Shinaji, Y. Nakabeppu et al., Texture analysis of FDG PET/CT for differentiating between FDG-avid benign and metastatic adrenal tumors: efficacy of combining SUV and texture parameters, Abdominal Radiology, vol.42, issue.12, pp.2882-2889, 2017.

P. F. Plouin, L. Amar, O. M. Dekkers, M. Fassnacht, A. P. Gimenez-roqueplo et al., European Society of Endocrinology Clinical Practice Guideline for long-term follow-up of patients operated on for a phaeochromocytoma or a paraganglioma, European Journal of Endocrinology, vol.174, issue.5, pp.G1-G10, 2016.

L. Tessonnier, C. Ansquer, C. Bournaud, F. Sebag, E. Mirallié et al., 18F-FDG Uptake at Initial Staging of the Adrenocortical Cancers: A Diagnostic Tool but Not of Prognostic Value, World Journal of Surgery, vol.37, issue.1, pp.107-112, 2012.

J. Favier, J. Brière, N. Burnichon, J. Rivière, L. Vescovo et al., The Warburg Effect Is Genetically Determined in Inherited Pheochromocytomas, PLoS ONE, vol.4, issue.9, p.e7094, 2009.

C. Bailly, C. Bodet-milin, S. Couespel, H. Necib, F. Kraeber-bodéré et al., Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials, PLOS ONE, vol.11, issue.7, p.e0159984, 2016.
URL : https://hal.archives-ouvertes.fr/inserm-01414301

M. Desseroit, F. Tixier, W. A. Weber, B. A. Siegel, C. Cheze-le-rest et al., Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non?Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort, Journal of Nuclear Medicine, vol.58, issue.3, pp.406-411, 2016.

F. H. Van-velden, G. M. Kramer, V. Frings, I. A. Nissen, E. R. Mulder et al., Repeatability of Radiomic Features in Non-Small-Cell Lung Cancer [18F]FDG-PET/CT Studies: Impact of Reconstruction and Delineation, Molecular Imaging and Biology, vol.18, issue.5, pp.788-795, 2016.

G. Eisenhofer, B. Klink, S. Richter, J. Lenders, and M. Robledo, Metabologenomics of phaeochromocytoma and paraganglioma: an integrated approach for personalised biochemical and genetic testing, Clin. Biochem. Rev, vol.38, pp.69-100, 2017.

M. Mlika, N. Kourda, M. Zorgati, S. Bahri, S. Ben-ammar et al., Prognostic value of Pheochromocytoma of the Adrenal Gland Scaled Score (Pass score) tests to separate benign from malignant neoplasms, Tunis. Med, vol.91, pp.209-215, 2013.
URL : https://hal.archives-ouvertes.fr/pasteur-02052091

L. Ben-aim, P. Pigny, L. J. Castro-vega, A. Buffet, L. Amar et al., Targeted next-generation sequencing detects rare genetic events in pheochromocytoma and paraganglioma, Journal of Medical Genetics, vol.56, issue.8, pp.513-520, 2019.

M. A. Blake, J. M. Slattery, M. K. Kalra, E. F. Halpern, A. J. Fischman et al., Adrenal Lesions: Characterization with Fused PET/CT Image in Patients with Proved or Suspected Malignancy?Initial Experience, Radiology, vol.238, issue.3, pp.970-977, 2006.

C. Ansquer, S. Scigliano, E. Mirallié, D. Taïeb, L. Brunaud et al., 18F-FDG PET/CT in the characterization and surgical decision concerning adrenal masses: a prospective multicentre evaluation, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.9, pp.1669-1678, 2010.

S. K. Warfield, K. H. Zou, and W. M. Wells, Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation, IEEE Transactions on Medical Imaging, vol.23, issue.7, pp.903-921, 2004.

A. Zwanenburg, M. Vallières, M. A. Abdalah, H. J. Aerts, V. Andrearczyk et al., The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping, Radiology, vol.295, issue.2, pp.328-338, 2020.
URL : https://hal.archives-ouvertes.fr/inserm-02954737

, Figure 2?figure supplement 1. Representative images used in the experiment, sampled from http://commons.wikimedia.org/wiki/Main_Page under the Creative Commons Attribution 4.0 International Public License https://creativecommons.org/licenses/by/4.0/., Licensee MDPI