activity
20082026
most citedPhysics of ion beam cancer therapy: a multi-scale approach

145 citations · 550 across the 21 of their papers we have counts for

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Showing physics.med-phShow all

7 papers · 1 filter

physics.med-ph2026

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…

physics.med-ph2026

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…

physics.med-ph2025

The Biologically Effective Particle Number Ratio (BPNR): a new framework to quantify the therapeutic window in SFRT and other modalities

Niels Bassler, Giuseppe Schettino, Hugo Palmans +4

Spatially Fractionated Radiation Therapy (SFRT) produces highly heterogeneous dose distributions, for which conventional metrics such as peak, valley, or average dose can yield amb…

physics.med-ph2023★ 7 cited

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…

physics.med-ph2023★ 15 cited

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…

physics.med-ph2020★ 2 cited

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…