In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors

V. Aubert (1) , Oscar Acosta (1) , N. Rioux-Leclercq (2, 3) , R. Mathieu (1) , F. Commandeur (1) , R. de Crevoisier (1)

1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Irset - Institut de recherche en santé, environnement et travail
3 CHU Pontchaillou [Rennes]

Objectives: Using in silico simulations from histopathological cancer prostate specimen, the objectives were to identify the total dose corresponding to various fractionations necessary to destroy the tumor cells (50% to 99.9%) and to assess the impact of the Gleason score on those doses. © 2017 IEEE.

Keywords: Tumor mathematical model; Prostate radiotherapy; Hypoxia; Gleason score; Radiosensitivity

Domains: Engineering Sciences [physics]; Signal and Image processing; Life Sciences [q-bio]; Bioengineering

V. Aubert, Oscar Acosta, N. Rioux-Leclercq, R. Mathieu, F. Commandeur, et al.. In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors. 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Apr 2017, Melbourne, Australia. ⟨10.1109/ISBI.2017.7950643⟩. ⟨hal-01618934⟩