ICRU Report 98, Stochastic Nature of Radiation Interactions: Microdosimetry

Braby, L. A.; Conte, V.; Dingfelder, M.; Goodhead, D. T.; Pinsky, L. S.; Rosenfeld, A. B.; Sato, T.; Waker, A. J.; Guatelli, S.; Magrin, G.; Menzel, H.-G.; Brandan, M.-E.; Olko, P.

doi:10.1177/14736691231211380

J�ICRU

2023

DOI: 10.1177/14736691231211380

|View full text |Cite

ICRU Report 98, Stochastic Nature of Radiation Interactions: Microdosimetry

L. A. Braby,

V. Conte,

M. Dingfelder

et al.

Abstract: The Journal of the ICRU publishes reports on important and topical subjects within the field of radiation science and measurement. It is the successor to the series of reports published by or on behalf of the International Commission on Radiation Units and Measurements (ICRU) since 1927. The Commission continually reviews radiation science with the aim of identifying areas where the development of guidance and recommendations can make an important contribution.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

References 661 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

LET‐based approximation of the microdosimetric kinetic model for proton radiotherapy

Parisi,

Furutani,

Sato

et al. 2024

Medical Physics

View full text Add to dashboard Cite

BackgroundPhenomenological relative biological effectiveness (RBE) models for proton therapy, based on the dose‐averaged linear energy transfer (LET), have been developed to address the apparent RBE increase towards the end of the proton range. The results of these phenomenological models substantially differ due to varying empirical assumptions and fitting functions. In contrast, more theory‐based approaches are used in carbon ion radiotherapy, such as the microdosimetric kinetic model (MKM). However, implementing microdosimetry‐based models in LET‐based proton therapy treatment planning systems poses challenges.PurposeThis work presents a LET‐based version of the MKM that is practical for clinical use in proton radiotherapy.MethodsAt first, we derived an approximation of the Mayo Clinic Florida (MCF) MKM for relatively‐sparsely ionizing radiation such as protons. The mathematical formalism of the proposed model is equivalent to the original MKM, but it maintains some key features of the MCF MKM, such as the determination of model parameters from measurable cell characteristics. Subsequently, we carried out Monte Carlo calculations with PHITS in different simulated scenarios to establish a heuristic correlation between microdosimetric quantities and the dose averaged LET of protons.ResultsA simple allometric function was found able to describe the relationship between the dose‐averaged LET of protons and the dose‐mean lineal energy, which includes the contributions of secondary particles. The LET‐based MKM was used to model the in vitro clonogenic survival RBE of five human and rodent cell lines (A549, AG01522, CHO, T98G, and U87) exposed to pristine and spread‐out Bragg peak (SOBP) proton beams. The results of the LET‐based MKM agree well with the biological data in a comparable or better way with respect to the other models included in the study. A sensitivity analysis on the model results was also performed.ConclusionsThe LET‐based MKM integrates the predictive theoretical framework of the MCF MKM with a straightforward mathematical description of the RBE based on the dose‐averaged LET, a physical quantity readily available in modern treatment planning systems for proton therapy.

show abstract

LET‐based approximation of the microdosimetric kinetic model for proton radiotherapy

Parisi,

Furutani,

Sato

et al. 2024

Medical Physics

View full text Add to dashboard Cite

show abstract

Microdosimetry in BNCT

Conte,

Bianchi,

Selva

2024

Health Technol.

View full text Add to dashboard Cite

Solid state microdosimetry of a 148 MeV proton spread-out Bragg peak with a pixelated silicon telescope

Bortot,

Mazzucconi,

Pola

et al. 2024

Radiation Measurements

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

ICRU Report 98, Stochastic Nature of Radiation Interactions: Microdosimetry

Cited by 7 publications

References 661 publications

LET‐based approximation of the microdosimetric kinetic model for proton radiotherapy

LET‐based approximation of the microdosimetric kinetic model for proton radiotherapy

Microdosimetry in BNCT

Solid state microdosimetry of a 148 MeV proton spread-out Bragg peak with a pixelated silicon telescope

Contact Info

Product

Resources

About