M. Weller, M. Van-den-bent, J. C. Tonn, R. Stupp, M. Preusser et al., European Association for Neuro-Oncology (EANO) guideline on the diagnosis and treatment of adult astrocytic and oligodendroglial gliomas, The Lancet Oncology, vol.18, issue.17, pp.30194-30202, 2017.

N. L. Albert, M. Weller, B. Suchorska, N. Galldiks, R. Soffietti et al., Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas, Neuro-oncology, vol.18, pp.1199-208, 2016.

K. J. Langen and C. Watts, Neuro-oncology: Amino acid PET for brain tumours-ready for the clinic?, Nature reviews Neurology, vol.12, pp.375-381, 2016.

K. J. Langen, N. Galldiks, E. Hattingen, and N. J. Shah, Advances in neuro-oncology imaging, Nature reviews Neurology, vol.13, pp.279-89, 2017.

C. Schiepers, W. Chen, T. Cloughesy, M. Dahlbom, and S. C. Huang, Journal of nuclear medicine: official publication, Society of Nuclear Medicine, vol.48, pp.1651-61, 2007.

F. Walter, T. Cloughesy, M. A. Walter, A. Lai, P. Nghiemphu et al., Impact of 3,4-dihydroxy-6-18F-fluoro-L-phenylalanine PET/CT on managing patients with brain tumors: the referring physician's perspective, Journal of nuclear medicine: official publication, vol.53, pp.393-401, 2012.

W. Chen, Journal of nuclear medicine: official publication, Society of Nuclear Medicine, vol.48, pp.1468-81, 2007.

I. Law, N. L. Albert, J. Arbizu, R. Boellaard, A. Drzezga et al., Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [(18)F]FDG: version 1.0. European journal of nuclear medicine and molecular imaging, vol.46, p.30519867, 2019.

C. Nioche, M. Soret, E. Gontier, M. Lahutte, G. Dutertre et al., Evaluation of quantitative criteria for glioma grading with static and dynamic 18F-FDopa PET/CT, Clinical nuclear medicine, vol.38, pp.81-88, 2013.
URL : https://hal.archives-ouvertes.fr/hal-02401429

D. H. Pafundi, N. N. Laack, R. S. Youland, I. F. Parney, V. J. Lowe et al., Biopsy validation of 18F-DOPA PET and biodistribution in gliomas for neurosurgical planning and radiotherapy target delineation: results of a prospective pilot study, Neuro-oncology, vol.15, pp.1058-67, 2013.

R. Kosztyla, S. Raman, V. Moiseenko, S. A. Reinsberg, B. Toyota et al., Dose-painted volumetric modulated arc therapy of high-grade glioma using 3,4-dihydroxy-6-[(18)F]fluoro-L-phenylalanine positron emission tomography. The British journal of radiology, vol.92, 2019.

W. Chen, D. H. Silverman, S. Delaloye, J. Czernin, N. Kamdar et al., 18F-FDOPA PET imaging of brain tumors: comparison study with 18F-FDG PET and evaluation of diagnostic accuracy, Journal of nuclear medicine: official publication, vol.47, pp.904-915, 2006.

C. Kratochwil, S. E. Combs, K. Leotta, A. Afshar-oromieh, S. Rieken et al., Intra-individual comparison of 18F-FET and 18F-DOPA in PET imaging of recurrent brain tumors, Neuro-oncology, vol.16, pp.434-474, 2014.

M. Wardak, C. Schiepers, T. F. Cloughesy, M. Dahlbom, M. E. Phelps et al., 18F-FLT and 18F-FDOPA PET kinetics in recurrent brain tumors. European journal of nuclear medicine and molecular imaging, vol.41, p.24604590, 2014.

X. Palard-novello, A. L. Blin, L. Jeune, F. Garin, E. Salaun et al., Optimization of temporal sampling for 18F-choline uptake quantification in prostate cancer assessment, EJNMMI research, vol.8, p.29904817, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01833097

S. C. Huang, J. R. Barrio, D. C. Yu, B. Chen, S. Grafton et al., Modelling approach for separating blood time-activity curves in positron emission tomographic studies, Physics in medicine and biology, vol.36, pp.749-61, 1991.

G. Glatting, P. Kletting, S. N. Reske, K. Hohl, and C. Ring, Choosing the optimal fit function: comparison of the Akaike information criterion and the F-test. Medical physics, vol.34, pp.4285-92, 2007.

F. Wilcoxon, A. Rpebring, and L. Johansson, A Monte Carlo study of the dependence of early frame sampling on uncertainty and bias in pharmacokinetic parameters from dynamic PET, Journal of nuclear medicine technology, vol.36, pp.53-60, 1946.

B. C. Lee, J. B. Moody, R. L. Weinberg, J. R. Corbett, E. P. Ficaro et al., Optimization of temporal sampling for (82)rubidium PET myocardial blood flow quantification, Journal of nuclear cardiology: official publication of the American Society of Nuclear Cardiology, vol.24, pp.1517-1546, 2017.

B. M. Mazoyer, R. H. Huesman, T. F. Budinger, and B. L. Knittel, Dynamic PET data analysis, Journal of computer assisted tomography, vol.10, pp.645-53, 1986.