21 citations · 47 across the 12 of their papers we have counts for
5 papers · 1 filter
Mechanistic driven TCP and NTCP modeling for particle therapy accounting for a broad range of physical irradiation parameters and tissue environmental conditions
Marco Battestini, Jules Morand, Giulio Bordieri +3
In conventional radiotherapy, the probability of controlling tumor growth is quantified using Tumor Control Probability (TCP) models. Instead, the probability of experiencing a sid…
A combined dose and microdosimetric modeling framework incorporating volume effects correlates with tissue sparing in proton minibeam radiotherapy
Giulio Bordieri, Marco Battestini, Gianluca Lattanzi +4
Proton minibeam (pMB) radiotherapy, delivers highly heterogeneous dose distributions alternating high-dose peaks and low-dose valleys. This aims to widen the therapeutic window by…
Integrating microdosimetric in vitro RBE models for particle therapy into TOPAS MC using the MicrOdosimetry-based modeling for RBE Assessment (MONAS) tool
Giorgio Cartechini, Marta Missiaggia, Emanuele Scifoni +2
We present MONAS (MicrOdosimetry-based modelliNg for relative biological effectiveness (RBE) ASsessment) toolkit. MONAS is a TOPAS Monte Carlo extension, that combines simulations…
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model
Francesco G. Cordoni, Marta Missiaggia, Emanuele Scifoni +1
The present work develops ANAKIN: an Artificial iNtelligence bAsed model for (radiation induced) cell KIlliNg prediction. ANAKIN is trained and tested over 513 cell survival experi…
Linking microdosimetric measurements to biological effectiveness: a review of theoretical aspects of MKM and other models
V. E. Bellinzona, F. Cordoni, M. Missiaggia +4
Different qualities of radiation are known to cause different biological effects at the same absorbed dose. Enhancements of the biological effectiveness are a direct consequence of…