Applications of nanodosimetry in particle therapy planning and beyond

Ruciński, Antoni; Biernacka, Anna; Schulte, R.

doi:10.1088/1361-6560/ac35f1

Cited by 15 publications

(17 citation statements)

References 276 publications

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“…For intensity-modulated proton radiation therapy, composed of several heterogeneous radiation fields and multiple pencil beams, the LET spectrum will be even wider. In particular, the high-LET component will be responsible for elevated radiobiological effects (Rucinski et al 2021). While overall, high-LET is recognized to be correlated with radiographic image changes, there is no consensus on the impact of LET D on this (Bahn et al 2020, Garbacz et al 2021, Niemierko et al 2021.…”

Section: Discussionmentioning

confidence: 99%

Single proton LET characterization with the Timepix detector and artificial intelligence for advanced proton therapy treatment planning

et al. 2023

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Objective: Protons have advantageous dose distributions and are increasingly used in cancer therapy. At the depth of the Bragg peak range, protons produce a mixed radiation field consisting of low- and high-linear energy transfer (LET) components, the latter of which is characterized by an increased ionization density on the microscopic scale associated with increased biological effectiveness. Prediction of the yield and LET of primary and secondary charged particles at a certain depth in the patient is performed by Monte Carlo simulations but is difficult to verify experimentally. Approach: Here, the results of measurements performed with Timepix detector in the mixed radiation field produced by a therapeutic proton beam in water are presented and compared to Monte Carlo simulations. The unique capability of the detector to perform high-resolution single particle tracking and identification enhanced by artificial intelligence allowed to resolve the particle type and measure the deposited energy of each particle comprising the mixed radiation field. Based on the collected data, biologically important physics parameters, the LET of single protons and dose-averaged LET, were computed.Main results: An accuracy over 95% was achieved for proton recognition with a developed neural network model. For recognized protons, the measured LET spectra generally agree with the results of Monte Carlo simulations. The mean difference between dose-averaged LET values obtained from measurements and simulations is 17%. We observed a broad spectrum of LET values ranging from a fraction of keV/um to about 10 keV/um for most of the measurements performed in the mixed radiation fields.Significance: It has been demonstrated that the introduced measurement method provides experimental data for validation of LET_D or LET spectra in any treatment planning system. The simplicity and accessibility of the presented methodology make it easy to be translated into a clinical routine in any proton therapy facility.

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Section: Discussionmentioning

confidence: 99%

Single proton LET characterization with the Timepix detector and artificial intelligence for advanced proton therapy treatment planning

et al. 2023

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“…It was therefore suggested that measurement of the relevant F normalk (for direct traversals) in the corresponding volume could be used to predict the radiobiological response of the biological system to different radiation qualities, including unknown fields (Conte et al , 2017a; 2018). Further comments by Rabus (2020) and a review by Rucinski et al (2021) include consideration of these and other concepts linking nanodosimetry to radiobiology and to potential applications in particle therapy (PT).…”

Section: Applications Of Stochastic Characteristics Of Radiation Inte...mentioning

confidence: 99%

ICRU Report 98, Stochastic Nature of Radiation Interactions: Microdosimetry

Braby,

Conte,

Dingfelder

et al. 2023

J�ICRU

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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.

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“… 21 , 22 LET d combines different beam qualities, contributing to damage in a single value, and can be used as a predictor for RBE, 23 considering a suggested LET-RBE linear dependence. 24 , 25 , 26 , 27 To avoid RBE uncertainty while reducing biological variability in treatment planning, metrics based on computable physical parameters (eg, dose and LET-RBE dependence [as a proxy for response]) have been suggested (eg, product between dose and LET d [DLET d ]). 25 , 26 , 28 …”

Section: Introductionmentioning

confidence: 99%