The PRISME team is composed of physicists, biochemists, biologists and radiotherapists. We specialize in multidisciplinary research aimed at developing, optimizing and controlling innovative radiotherapies, whether it be hadrontherapy or therapies using radioactive ion-emitting elements or nanoparticles. These radiotherapies aim to improve the treatment of certain cancers by increasing the effect of ionizing radiation in the tumor while minimizing its harmful effects on healthy tissues.
Our multidisciplinary approach aims to quantify, understand and predict the effect of ionizing radiation on living organisms from processes induced at extremely short times (attosecond) at small scales (atomic nucleus) to long-term consequences (years) at the patient level.
We therefore design and carry out irradiation experiments on targets ranging from molecules or cells to small animals and patient samples (tumor, blood). These experiments feed an important part of our activity which consists in modeling the effects of radiation on living organisms.
One of the innovative techniques of radiotherapy is hadrontherapy, which is to send
an ion beam on the tumors to destroy them. We are working, in particular using simulations, data processing and predictions, to improve these systems by having on-line control over irradiation using dedicated detectors. These tools also have applications in imaging.
The activities can be divided into three research areas:
Axis 1 aims to develop simulations and detectors to control patient irradiation by detecting the particles emitted during hadrontherapy treatment. These developments also offer application prospects in the field of diagnostic imaging.
Axis 2 focuses on the development of multi-scale models and simulations to describe and predict the physical, chemical and biological processes induced by irradiation. It also develops irradiation and dosimetric control means for the measurement of radiobiological effects.
Axis 3 quantifies by experiment the effects induced by irradiation with molecular, cellular, multicellular, in-vitro or in-vivo systems. It focuses on the specificities of innovative radiotherapies and the personalization of care.
NON-PERMANENTS:
- DOCTORANTS / DOCTORAL STUDENTS:
- S. Curtoni, G. Bosson, J. Collot, D. Dauvergne, L. Gallin-Martel, et al.. A diamond beam-tagging hodoscope for online range monitoring in hadrontherapy. NSS/MIC 2019 : IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2019, Manchester, United Kingdom. ⟨hal-02349420⟩
- Sara Marcatili, Sébastien Curtoni, Denis Dauvergne, Ferid Haddad, Maxime Jacquet, et al.. A 100 ps TOF detection system for on-line range-monitoring in hadrontherapy. NSS/MIC 2019 : IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2019, Manchester, United Kingdom. ⟨10.1109/NSS/MIC42101.2019.9059815⟩. ⟨hal-02353941⟩
- Giacomo Cacciapaglia, Shahram Vatani, Zhi-Wei Wang. Tumbling to the Top. 2019. ⟨hal-02327794⟩
- Marina Rosas-Carbajal, Jacques Marteau, Bruno Carlus, Jean-Christophe Ianigro, J.-L Montorio, et al.. Long-term muon measurements to track density changes at La Soufrière de Guadeloupe volcano. Caribbean Science and Innovation Meeting 2019, Oct 2019, Pointe à Pitre (Guadeloupe), France. ⟨hal-02894438⟩
- Mehdi Outini. Mesure de la cinématique interne des galaxies en spectroscopie sans fente. Astrophysique [astro-ph]. Université de Lyon, 2019. Français. ⟨NNT : 2019LYSE1205⟩. ⟨tel-02409747⟩
- A. Bianchi, S. Delsanto, P. Dupieux, A. Ferretti, M. Gagliardi, et al.. Studies on tetrafluoropropene-based gas mixtures with low environmental impact for Resistive Plate Chambers. 15th Topical Seminar on Innovative Particle and Radiation Detectors, Oct 2019, Siena, Italy. pp.C04039, ⟨10.1088/1748-0221/15/04/C04039⟩. ⟨hal-02483897⟩
- M.L. Gallin-Martel, G. Bosson, J. Bouvier, J. Collot, S. Curtoni, et al.. LPSC Grenoble diamond beam monitoring for on-line control. Final MediNet Network Meeting, Oct 2019, Wiener Neustadt, Austria. ⟨hal-02351116⟩
- Nils Krah, Jean-Michel Létang, Simon Rit. Polynomial modelling of proton trajectories in homogeneous media for fast most likely path estimation and trajectory simulation. Physics in Medicine and Biology, 2019, 64 (19), pp.195014. ⟨10.1088/1361-6560/ab3d0b⟩. ⟨hal-02269520⟩
- O. Stezowski. GRETINA data ☛ AGATA Processing chain & Machine Learning. Third AGATA-GRETINA/GRETA tracking arrays collaboration meeting, Oct 2019, Argonne, United States. ⟨hal-02441675⟩
- Caterina Monini, Gersende Alphonse, Claire Rodriguez-Lafrasse, Etienne Testa, Michael Beuve. Comparison of biophysical models with experimental data for three cell lines in response to irradiation with monoenergetic ions. Physics and Imaging in Radiation Oncology, 2019, 12, pp.17-21. ⟨10.1016/j.phro.2019.10.004⟩. ⟨hal-02543068⟩

