1. Cavallone M, Prezado Y, De Marzi L. Converging Proton Minibeams with Magnetic Fields for Optimized Radiation Therapy: A Proof of Concept. Cancers (Basel). 14(1):26, 2021. DOI: 10.3390/cancers14010026.

  2. Beddok A, Cottu P, Fourquet A, Kirova Y. Combination of modern radiotherapy and new targeted treatments for breast cancer management. Cancers 13(24):6358, 2021. DOI: 10.3390/cancers13246358.

  3. Chegraoui H, Philippe C, Dangouloff-Ros V, Grigis A, Calmon R, Boddaert N,  Frouin F, Grill J, Frouin V. Object detection improves tumour segmentation in MR images of rare brain tumours. Cancers 13(23): 6113, 2021. DOI: https://doi.org/10.3390/cancers13236113

  4. Loap P, Vischioni B, Bonora M, Ingargiola R, Ronchi S, Vitolo V, Barcellini A, Goanta L, De Marzi L, Dendale R, Pacelli R, Locati L, Calugaru V, Mammar H, Cavalieri S, Kirova Y, Orlandi E. Biological Rationale and Clinical Evidence of Carbon Ion Radiation Therapy for Adenoid Cystic Carcinoma: A Narrative Review. Front Oncol. 11:789079, 2021. DOI: 10.3389/fonc.2021.789079.

  5. El Beheiry M, Gaillard T, Girard N, Darrigues L, Osdoit M, Feron JG, Sabaila A, Laas E, Fourchotte V, Laki F, Lecuru F, Couturaud B, Binder JP, Masson JB, Reyal F, Malhaire C. Breast Magnetic Resonance Image Analysis for Surgeons Using Virtual Reality: A Comparative Study. JCO Clin Cancer Inform. 5:1127-1133, 2021. DOI: 10.1200/CCI.21.00048.

  6. Maia Leite A, Ronga MG, Giorgi M, Ristic Y, Perrot Y, Trompier F, Prezado Y, Créhange G, De Marzi L. Secondary neutron dose contribution from pencil beam scanning, scattered and spatially fractionated proton therapy. Phys Med Biol, 66: 225010, 2021. DOI: https://doi.org/10.1088/1361-6560/ac3209

  7. Ronga MG, Cavallone M, Patriarca A, Leite AM, Loap P, Favaudon V, Créhange G, De Marzi L. Back to the Future: Very High-Energy Electrons (VHEEs) and Their Potential Application in Radiation Therapy. Cancers. 13:4942, 2021. DOI: https://doi.org/10.3390/cancers13194942

  8. Bertho A, Ortiz R, Juchaux M, Gilbert C, Lamirault C, Pouzoulet F, Polledo L, Liens A, Warfving N, Sebrie C, Jourdain L, Patriarca A, de Marzi L, Prezado Y. First Evaluation of Temporal and Spatial Fractionation in Proton Minibeam Radiation Therapy of Glioma-Bearing Rats. Cancers13(19):4865, 2021. DOI: https://doi.org/10.3390/cancers13194865

  9. Loap P, Vitolo V, Barcellini A, De Marzi L, Mirandola A, Fiore MR, Vischioni B, Jereczek-Fossa BA, Girard N, Kirova YM, Orlandi E. Hadrontherapy for thymic epithelial tumors: implementation in clinical practice. Front. Oncol. 11:738320, 2021. DOI: https://doi.org/10.3389/fonc.2021.738320

  10. Wimberley C, Buvat I, Boutin H. Imaging translocator protein expression with Positron Emission Tomography. Eur J Nucl Med Mol Imaging. 49:74-75, 2021. DOI: 10.1007/s00259-021-05601-y

  11. Sabra D, Intzandt B, Desjardins-Crépeau L, Langeard A, Steele CJ, Frouin F, Hoge RD, Bherer L, Gauthier C. Sex moderates the relationship between aortic stiffness, cognition, and cerebrovascular reactivity in healthy older adults.  PLoS One. 16(9):e0257815, 2021. DOI: 10.1371/journal.pone.0257815

  12. Peters N, Wohlfahrt P, Dahlgren CV, de Marzi L, Ellerbrock M, Fracchiolla F, Freeh J, Gomà C, Góra J, Jensen MF, Kajdrowicz T, Mackay R, Molinelli S, Rinaldi I, Rompokos V, Siewert D, van der Tol P, Vermeren X, Nyström H, Lomax A, Richter C. Experimental assessment of inter-centre variation in stopping-power and range prediction in particle therapy. Radiother Oncol. 163:7-13, 2021. DOI: https://doi.org/10.1016/j.radonc.2021.07.019

  13. Loap P, Mirandola A, De Marzi L, Dendale R, Iannalfi A, Vitolo V, Barcellini A, Filippi AR, Jereczek-Fossa BA, Kirova Y, Orlandi E. Current Situation of Proton Therapy for Hodgkin Lymphoma: from Expectations to Evidence. Cancers 13: 3746, 2021. DOI: https://doi.org/10.3390/cancers13153746 

  14. Loap P, De Marzi L, Mirandola A, Dendale R, Iannalfi A, Vitolo V, Barcellini A, Filippi AR, Jereczek-Fossa BA, Kirova Y, Orlandi E. Development and Implementation of Proton Therapy for Hodgkin Lymphoma: Challenges and Perspectives. Cancers, 13:3744, 2021. DOI: https://doi.org/10.3390/cancers13153744

  15. Vidal M, Moignier C, Patriarca A, Sotiropoulos M, Schneider T, De Marzi L. Future technological developments in proton therapy - a predicted technological breakthrough. Cancer Radiother. 25:554-564, 2021. DOI: https://doi.org/10.1016/j.canrad.2021.06.017

  16. Malaise D, Houillier C, Touitou V, Choquet S, Maloum K, Le Garff-Tavernier M, Davi F, Vincent-Salomon A, Feuvret L, Hoang-Xuan K, Cassoux N, Soussain C. LOC network and the ERN-EuroBloodNet. Primary vitreoretinal lymphoma: short review of the literature, results of a European survey and French guidelines of the LOC network for diagnosis, treatment and follow-up. Curr Opin Oncol. 33:420-431, 2021. DOI: 10.1097/CCO.0000000000000776.

  17. Soussain C, Malaise D, Cassoux N. Primary vitreoretinal lymphoma: A diagnostic and management challenge. Blood. 2021 May 25:blood.2020008235. DOI: 10.1182/blood.2020008235.  

  18. Jehan-Besson S, Clouard R, Boddaert N, Grill J, Frouin F. Optimization of a Shape Metric Based on Information Theory Applied to Segmentation Fusion and Evaluation in Multimodal MRI for DIPG Tumor Analysis. Proceedings of 5th International Conference GSI 2021: 772-780. DOI: 10.1007/978-3-030-80209-7_83

  19. Cottereau AS, Meignan M, Nioche C, Clerc J, Chartier L, Vercellino L, Casasnovas O, Thieblemont C, Buvat I. New approaches in characterisation of lesions dissemination in DLBCL patients on baseline PET/CT. Cancers. 13:3998, 2021. DOI: https://doi.org/10.3390/cancers13163998 

  20. Seban RD, Donnadieu A, Journo G, Bidard FC, Richard C, Rouzier R, Champion L.18F-FDG PET/CT in Relapsed Endometrial Cancer Treated with Preoperative PD-1 Inhibitor Dostarlimab. Diagnostics. 11:1353, 2021. DOI: https://doi.org/10.3390/diagnostics11081353

  21. Seban RD, Synn S, Muneer I, Champion L, Schwartz LH, Dercle L. Spleen Glucose Metabolism on [18F]-FDG PET/CT for Cancer Drug Discovery and Development cannot be Overlooked. Curr Cancer Drug Targets. 21:944-952, 2021. DOI: 10.2174/1568009621666210720143826.

  22. Seban RD, Assié JB, Giroux-Leprieur E, Massiani MA, Bonardel G, Chouaid C, Deleval N, Richard C, Mezquita L, Girard N, Champion L. Prognostic value of inflammatory response biomarkers using peripheral blood and [18F]-FDG PET/CT in advanced NSCLC patients treated with first-line chemo- or immunotherapy. Lung Cancer. 159: 45-55, 2021. DOI: https://doi.org/10.1016/j.lungcan.2021.06.024 

  23. Orlhac F, Nioche C, Klyuzhin I, Rahmim A, Buvat I. Radiomics in PET imaging - A practical guide for newcomers. PET Clin. 16(4):597-612, 2021. DOI: 10.1016/j.cpet.2021.06.007

  24. Seban RD, Champion L, Yeh R, Schwartz LH, Dercle L. Assessing immune response upon systemic RNA vaccination on [18F]-FDG PET/CT for COVID-19 vaccine and then for immune-oncology? (letter to the Editor). Eur J Nucl Med Mol Imaging. 48:3351-3352, 2021. DOI: 10.1007/s00259-021-05468-z

  25. Dumas JL, Dal R, Zefkili S, Robilliard M, Losa S, Birba I, Vu-Bezin J, Beddok A, Calugaru V, Dutertre G, De Marzi L. Addressing the dosimetric impact of bone cement and vertebroplasty in stereotactic body radiation therapy. Phys Med. 202185:42-49. DOI: 10.1016/j.ejmp.2021.04.023.

  26. Costa E, Richir T, Robilliard M, Bragard C, Logerot C, Kirova Y, Fourquet A, De Marzi L. Assessment of a conventional volumetric-modulated arc therapy knowledge-based planning model applied to the new Halcyon© O-ring linac in locoregional breast cancer radiotherapy. Phys Med. 86:32-43. 2021. DOI: 10.1016/j.ejmp.2021.05.022.  

  27. Orlhac F, Buvat I. Comment on Ibrahim, A. et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers. 13(12): 3037, 2021. DOI: https://doi.org/10.3390/cancers13123037 

  28. Seban RD, Vermersch C, Champion L, Bonsang B, Roger A, Ghidaglia J. Immune-Related Erythema Nodosum Mimicking in Transit Melanoma Metastasis on [18F]-FDG PET/CT. Diagnostics. 11: 747, 2021. DOI: https://doi.org/10.3390/diagnostics11050747

  29. Aide N, Lasnon C, Kesner A, Levin C, Buvat I, Iagaru A, Hermann K, Badawi RD, Cherry SR, Bradley KM, McGowan DR. New PET technologies: embracing progress and pushing the limits. Eur J Nucl Med Mol Imaging. 48: 2711–2726, 2021. DOI: https://doi.org/10.1007/s00259-021-05390-4

  30. Beyer T, Bailey DL, Birk UJ, Buvat I, Catana C, Cheng Z, Fang Q, Giove F, Kuntner C, Laistler E, Moscato F, Nekolla SG, Rausch I, Ronen I, van Elmpt W, Saarakkala S, Thielemans K, Moser E. Medical Physics and Imaging – A timely perspective. Frontiers in Physics. 9:634693, 2021. DOI: https://doi.org/10.3389/fphy.2021.634693

  31. Seban RD, Champion L, Deleval N, Richard C, Provost C. Immune Response Visualized In Vivo by [18F]-FDG PET/CT after COVID-19 Vaccine. Diagnostics. 11: 676, 2021. DOI: https://doi.org/10.3390/diagnostics11040676

  32. Seban RD, Rouzier R, Latouche A, Deleval N, Guinebretiere JM, Buvat I, Bidard FC, Champion L. Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer. Eur J Nucl Med Mol Imaging. 48: 3560-3570, 2021. DOI: https://doi.org/10.1007/s00259-021-05322-2 

  33. Schneider T, De Marzi L, Patriarca A and Prezado Y. Monte Carlo Comparison of Proton and Helium-ion Minibeam Generation Techniques. Front. Phys. 9:595721, 2021. DOI: https://doi.org/10.3389/fphy.2021.595721

  34. Loto O, Zahradnik I, Leite AM, De Marzi L, Tromson D, Pomorski M. Simultaneous measurements of dose and microdosimetric spectra in a clinical proton beam using a scCVD diamond membrane microdosimeter. Sensors (Basel). 21:1314, 2021. DOI: https://www.mdpi.com/1424-8220/21/4/1314

  35. Leduc A, Chaouni S, Pouzoulet F, De Marzi L, Megnin-Chanet F, E Corre, Stefan D, Habrand JL, Sichel F, Laurent C. Differential normal skin transcriptomic response in total body irradiated mice exposed to scattered versus scanned proton beams. Sci Rep 11, 5876, 2021. DOI: https://doi.org/10.1038/s41598-021-85394-0

  36. Buvat I, Orlhac FThe T.R.U.E. checklist for identifying impactful AI-based findings in nuclear medicine: is it True? Is it Reproducible? Is it Useful? Is it Explainable? J Nucl Med. 62: 752-754, 2021. DOI: https://doi.org/10.2967/jnumed.120.261586 

  37. Prezado Y, Hirayama R, Matsufuji N, Inaniwa T, Martínez-Rovira I, Seksek O, Bertho A, Koike S, Labiod D, Pouzoulet F, Polledo L, Warfving N, Liens A, Bergs J, Shimokawa T. A potential renewed use of very heavy ions for therapy: Neon minibeam radiation therapy. Cancers. 13:1356, 2021. DOI: 10.3390/cancers13061356

  38. Weber M, Kersting D, Umutlu L, Schäfers M, Rischpler C, Fendler WP, Buvat I, Herrmann K, Seifert R. Just another ‘Clever Hans’? Neural Networks and FDG PET‑CT to predict the Outcome of Patients with Breast Cancer. Eur J Nucl Med Mol Imaging. 48: 3141-3150, 2021. DOI: 10.1007/s00259-021-05270-x

  39. Seban RD, Champion L, Schwartz LH, Dercle L. Spleen glucose metabolism on [F-18]-FDG PET/CT: a dynamic double-edged biomarker predicting outcome in cancer patients (letter to the Editor). Eur J Nucl Med Mol Imaging. 48: 2309-2311, 2021. DOI: 10.1007/s00259-020-05126-w

  40. Saint Martin MJ, Orlhac F, Akl P, Khalid F, Nioche C, Buvat I, Malhaire C, Frouin F. A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study. MAGMA. 34: 355-366, 2021. DOI: 10.1007/s10334-020-00892-y

  41. Cottereau AS, Meignan M, Nioche C, Capobianco N, Clerc J, Chartier L, Vercellino L, Casasnovas O, Thieblemont C, Buvat I. Risk stratification in diffuse large B cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT. Ann Oncol. 32: 404-411, 2021. DOI: 10.1016/j.annonc.2020.11.019

  42. Sundar LKS , Muzik O, Buvat I, Bidaut L, Beyer T. Potentials and caveats of artificial intelligence in hybrid imaging. Methods. 188: 4-19, 2021. DOI: 10.1016/j.ymeth.2020.10.004

  43. Orlhac F, Lecler A, Savatovski J, Goya-Outi J, Nioche C, Charbonneau F, Ayache N, Frouin F, Duron L, Buvat I. How can we combat multicenter variability in MR radiomics? Validation of a correction procedure. Eur Rad. 31: 2272-2280, 2021. DOI: 10.1007/s00330-020-07284-9
  44. Capobianco N, Meignan M, Cottereau AS, Vercellino L, Sibille L, Spottiswoode B, Zuehlsdorff S, Casasnovas O, Thieblemont C, Buvat I. Deep learning FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma. J Nucl Med. 62: 30-36, 2021. DOI: 10.2967/jnumed.120.242412