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Ionization detail parameters and cluster dose: a mathematical model for selection of nanodosimetric quantities for use in treatment planning in charged particle radiotherapy

Objective. To propose a mathematical model for applying ionization detail (ID), the detailed spatial distribution of ionization along a particle track, to proton and ion beam radiotherapy treatment planning (RTP).Approach. Our model provides for selection of preferred ID parameters (Ip) for RTP, tha...

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Hauptverfasser: Faddegon, Bruce (VerfasserIn) , Blakely, Eleanor A. (VerfasserIn) , Burigo, Lucas Norberto (VerfasserIn) , Censor, Yair (VerfasserIn) , Dokić, Ivana (VerfasserIn) , Domínguez Kondo, Naoki (VerfasserIn) , Ortiz, Ramon (VerfasserIn) , Ramos Méndez, José (VerfasserIn) , Rucinski, Antoni (VerfasserIn) , Schubert, Keith (VerfasserIn) , Wahl, Niklas (VerfasserIn) , Schulte, Reinhard (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 14 August 2023
In: Physics in medicine and biology
Year: 2023, Jahrgang: 68, Heft: 17
ISSN:1361-6560
DOI:10.1088/1361-6560/acea16
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1361-6560/acea16
Verlag, kostenfrei, Volltext: https://iopscience.iop.org/article/10.1088/1361-6560/acea16
Volltext
Verfasserangaben:Bruce Faddegon, Eleanor A. Blakely, Lucas Burigo, Yair Censor, Ivana Dokic, Naoki Domínguez Kondo, Ramon Ortiz, José Ramos Méndez, Antoni Rucinski, Keith Schubert, Niklas Wahl and Reinhard Schulte
Beschreibung
Zusammenfassung:Objective. To propose a mathematical model for applying ionization detail (ID), the detailed spatial distribution of ionization along a particle track, to proton and ion beam radiotherapy treatment planning (RTP).Approach. Our model provides for selection of preferred ID parameters (Ip) for RTP, that associate closest to biological effects. Cluster dose is proposed to bridge the large gap between nanoscopicIpand macroscopic RTP. Selection ofIpis demonstrated using published cell survival measurements for protons through argon, comparing results for nineteenIp:Nk,k= 2, 3, …, 10, the number of ionizations in clusters ofkor more per particle, andFk,k= 1, 2, …, 10, the number of clusters ofkor more per particle. We then describe application of the model to ID-based RTP and propose a path to clinical translation.Main results. The preferredIpwereN4andF5for aerobic cells,N5andF7for hypoxic cells. Significant differences were found in cell survival for beams having the same LET or the preferredNk. Conversely, there was no significant difference forF5for aerobic cells andF7for hypoxic cells, regardless of ion beam atomic number or energy. Further, cells irradiated with the same cluster dose for theseIphad the same cell survival. Based on these preliminary results and other compelling results in nanodosimetry, it is reasonable to assert thatIpexist that are more closely associated with biological effects than current LET-based approaches and microdosimetric RBE-based models used in particle RTP. However, more biological variables such as cell line and cycle phase, as well as ion beam pulse structure and rate still need investigation.Significance. Our model provides a practical means to select preferredIpfrom radiobiological data, and to convertIpto the macroscopic cluster dose for particle RTP.
Beschreibung:Gesehen am 11.06.2024
Beschreibung:Online Resource
ISSN:1361-6560
DOI:10.1088/1361-6560/acea16

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