Physics and small-scale dosimetry of -emitters for targeted radionuclide therapy: The case of .

Background: Monte Carlo simulations have been considered for a long time the gold standard for dose calculations in conventional radiotherapy and are currently being applied for the same purpose in innovative radiotherapy techniques such as targeted radionuclide therapy (TRT).

Purpose: We present in this work a benchmarking study of the latest version of the Transport d'Ions Lourds Dans l'Aqua & Vivo (TILDA-V ) Monte Carlo track structure code, highlighting its capabilities for describing the full slowing down of -particles in water and the energy deposited in cells by -emitters in the context of TRT.

Methods: We performed radiation transport simulations of -particles (10 keV -100 MeV ) in water with TILDA-V and the Particle and Heavy Ion Transport code System (PHITS) version 3.

How to explain the sensitivity of DNA double-strand breaks yield to I position?

Purpose: Auger emitters exhibit interesting features due to their emission of a cascade of short-range Auger electrons. Maximum DNA breakage efficacy is achieved when decays occur near DNA. Studies of double-strand breaks (DSBs) yields in plasmids revealed cutoff distances from DNA axis of 10.

Radiation doses from Tb and Lu in single tumour cells and micrometastases.

Background: Targeted radionuclide therapy (TRT) is gaining importance. For TRT to be also used as adjuvant therapy or for treating minimal residual disease, there is a need to increase the radiation dose to small tumours. The aim of this in silico study was to compare the performances of Tb (a medium-energy β emitter with additional Auger and conversion electron emissions) and Lu for irradiating single tumour cells and micrometastases, with various distributions of the radionuclide.

Proton transport modeling in a realistic biological environment by using TILDA-V.

Whether it is in radiobiology to identify DNA lesions or in medicine to adapt the radiotherapeutic protocols, a detailed understanding of the radiation-induced interactions in living matter is required. Monte Carlo track-structure codes have been successfully developed to describe these interactions and predict the radiation-induced energy deposits at the nanoscale level in the medium of interest. In this work, the quantum-mechanically based Monte Carlo track-structure code TILDA-V has been used to compute the slowing-down of protons in water and DNA.