Journal Article

DKFZ-2017-06236

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Application of fluorescent nuclear track detectors for cellular dosimetry.

Rahmanian, S. (First author)DKFZ* ; Niklas, M.DKFZ* ; Abdollahi, A.DKFZ* ; Jäkel, O.DKFZ* ; Greilich, S. (Last author)DKFZ*

2017
IOP Publ. Bristol

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Please use a persistent id in citations: doi:10.1088/1361-6560/aa56b4

Abstract: Ion beams radiotherapy with charged particles show greater relative biological effectiveness (RBE) compared to conventional photon therapy. This enhanced RBE is due to a localized energy deposition pattern, which is subject to large fluctuations on cellular scales. Fluorescent nuclear track detectors (FNTDs) based on Al2O3:C,Mg crystals coated with cells (Cell-Fit-HD) can provide information on individual cellular energy deposition. In this study we provide a theoretical framework to obtain the distribution of microscopic energy deposition and ionization density in cells exposed to ion beams and identifies contributions of five different sources of variations to the overall energy fluctuation at different depths of a biologically optimized spread-out Bragg peak. We show that fluctuation in the individual energy loss of the particles is the major source of variability while the fluctuation in particle hits plays a minor role. With the Cell-Fit-HD system the uncertainty arising from four of these sources, namely the nucleus area, the number of nuclear hits, the particle linear energy transfer and the chord length can be reduced and only energy loss straggling remains fundamentally unknown. The ability to quantify these factors results in a reduction of the uncertainty in cellular energy deposition from 24-55% down to only 7-12%. We have also shown current experimental results with FNTDs which show promising results, but need further improvements to reach the ideals predicted in this study.

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Contributing Institute(s):

1. Medizinische Physik in der Strahlentherapie (E040)
2. Translationale Radioonkologie (E210)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2017

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Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; National-Konsortium ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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