| Baseline metabolic tumor volume as a strong predictive and prognostic biomarker in patients with non-small cell lung cancer treated with PD1 inhibitors: a prospective study D Chardin, M Paquet, R Schiappa, J Darcourt, C Bailleux, M Poudenx, ... Journal for immunotherapy of cancer 8 (2), 2020 | 66 | 2020 |
| Dissociated response in metastatic cancer: an atypical pattern brought into the spotlight with immunotherapy O Humbert, D Chardin Frontiers in Oncology 10, 566297, 2020 | 59 | 2020 |
| 18F-DOPA PET/CT in brain tumors: impact on multidisciplinary brain tumor board decisions O Humbert, V Bourg, L Mondot, J Gal, PY Bondiau, D Fontaine, ... European journal of nuclear medicine and molecular imaging 46, 558-568, 2019 | 46 | 2019 |
| Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer J Gal, C Bailleux, D Chardin, T Pourcher, J Gilhodes, L Jing, JM Guigonis, ... Computational and Structural Biotechnology Journal 18, 1509-1524, 2020 | 37 | 2020 |
| Prognostic value of immunotherapy-induced organ inflammation assessed on 18FDG PET in patients with metastatic non-small cell lung cancer O Humbert, M Bauckneht, J Gal, M Paquet, D Chardin, D Rener, ... European Journal of Nuclear Medicine and Molecular Imaging 49 (11), 3878-3891, 2022 | 10 | 2022 |
| False positive 18FDG PET-CT results due to exogenous lipoid pneumonia secondary to oily drug inhalation: a case report D Chardin, G Nivaggioni, P Viau, C Butori, B Padovani, ... Medicine 96 (22), e6889, 2017 | 10 | 2017 |
| Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies D Chardin, C Gille, T Pourcher, O Humbert, M Barlaud BMC bioinformatics 23 (1), 361, 2022 | 9 | 2022 |
| Development and validation of a radiomic model for the diagnosis of dopaminergic denervation on [18F] FDOPA PET/CT V Comte, H Schmutz, D Chardin, F Orlhac, J Darcourt, O Humbert European Journal of Nuclear Medicine and Molecular Imaging 49 (11), 3787-3796, 2022 | 9 | 2022 |
| Performance of multiparametric functional imaging to assess peritoneal tumor burden in ovarian cancer E Mallet, MA Angeles, B Cabarrou, D Chardin, P Viau, M Frigenza, ... Clinical Nuclear Medicine 46 (10), 797-806, 2021 | 5 | 2021 |
| SUV calculation in breast cancer: which normalization should be applied when using 18F-FDG PET? O Humbert, JM Riedinger, D Chardin, I Desmoulins, F Brunotte, A Cochet The Quarterly Journal of Nuclear Medicine and Molecular Imaging: Official …, 2018 | 4 | 2018 |
| Added value of [18F]FDOPA PET to the management of high-grade glioma patients after their initial treatment: a prospective multicentre study J Darcourt, D Chardin, V Bourg, J Gal, R Schiappa, M Blonski, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (9), 2727-2735, 2023 | 3 | 2023 |
| Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies D Chardin, O Humbert, C Bailleux, F Burel-Vandenbos, V Rigau, ... BMC bioinformatics 22 (1), 594, 2021 | 3 | 2021 |
| Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy P Tricarico, D Chardin, N Martin, S Contu, F Hugonnet, J Otto, O Humbert Journal for Immunotherapy of Cancer 12 (4), 2024 | 2 | 2024 |
| Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data. C Bailleux, D Chardin, JM Guigonis, JM Ferrero, Y Chateau, O Humbert, ... Computational and Structural Biotechnology Journal 21, 5136-5143, 2023 | 2 | 2023 |
| Prognostic impact of post-treatment FDG PET/CT in anal canal cancer: A prospective study C Bailleux, C Zwarthoed, L Evesque, D Baron, C Scouarnec, K Benezery, ... Radiotherapy and Oncology 188, 109905, 2023 | 1 | 2023 |
| Métabolomique et imagerie TEP-FDG des cancers du sein D Chardin, T Pourcher, J Gal, C Bailleux, JM Guigonis, J Darcourt, ... Médecine Nucléaire 45 (1), 4-12, 2021 | 1 | 2021 |
| Correction to: 18F-DOPA PET/CT in brain tumors: impact on multidisciplinary brain tumor board decisions O Humbert, V Bourg, L Mondot, J Gal, PY Bondiau, D Fontaine, J Barriere, ... European Journal of Nuclear Medicine and Molecular Imaging 46 (7), 1581-1581, 2019 | 1 | 2019 |
| Unsupervised machine learning methods reveal metabolomic based clusters in breast cancer patients J Gal, C Bailleux, D Chardin, T Pourcher, L Jing, JM Guignonis, ... Cancer Research 79 (13_Supplement), 2449-2449, 2019 | 1 | 2019 |
| [18F]FDG-PET/CT atypical response patterns to immunotherapy in non-small cell lung cancer patients: long term prognosis assessment and clinical management … M Masse, D Chardin, P Tricarico, V Ferrari, N Martin, J Otto, J Darcourt, ... European Journal of Nuclear Medicine and Molecular Imaging, 1-13, 2024 | | 2024 |
| Clinical evaluation of AI-generated total metabolic tumor volume on 18F-FDG PET/CT for patients with metastatic lung cancer treated with immunotherapy P Tricarico, O Humbert, D Chardin Médecine Nucléaire 48 (2), 46-47, 2024 | | 2024 |
