Evidence map›Paper›PMID 36039392›Full record

ArticleMedical physics2022

On the measurement uncertainty of microdosimetric quantities using diamond and silicon microdosimeters in carbon-ion beams.

Cynthia Meouchi, Sandra Barna, Monika Puchalska, Linh T Tran, Anatoly Rosenfeld, Claudio Verona, Gianluca Verona-Rinati, Hugo Palmans, Giulio Magrin

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 4 countries.

Cynthia MeouchiRadiation Physics, Technische Universität Wien, Vienna, Austria.
Sandra BarnaDepartment of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
Monika PuchalskaRadiation Physics, Technische Universität Wien, Vienna, Austria.
Linh T TranCentre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.
Anatoly RosenfeldCentre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.
Claudio VeronaDipartimento di Ingegneria Industriale, Università di Roma Tor Vergata, Roma, Italy.
Gianluca Verona-RinatiDipartimento di Ingegneria Industriale, Università di Roma Tor Vergata, Roma, Italy.
Hugo PalmansMedAustron Ion Therapy Center, Wiener Neustadt, Austria.
Giulio MagrinMedAustron Ion Therapy Center, Wiener Neustadt, Austria.
TU Wien · ATUniversity of Rome Tor Vergata · ITUniversity of Wollongong · AUMedAustron · ATMedical University of Vienna · ATNational Physical Laboratory · GB

Funding

Austrian Science Foundation (FWF) P32103-B
6 · The paper itself

Abstract

purposeThe purpose of this paper is to compare the response of two different types of solid-state microdosimeters, that is, silicon and diamond, and their uncertainties. A study of the conversion of silicon microdosimetric spectra to the diamond equivalent for microdosimeters with different geometry of the sensitive volumes is performed, including the use of different stopping power databases.

methodDiamond and silicon microdosimeters were irradiated under the same conditions, aligned at the same depth in a carbon-ion beam at the MedAustron ion therapy center. In order to estimate the microdosimetric quantities, the readout electronic linearity was investigated with three different methods, that is, the first being a single linear regression, the second consisting of a double linear regression with a channel transition and last a multiple linear regression by splitting the data into odd and even groups. The uncertainty related to each of these methods was estimated as well. The edge calibration was performed using the intercept with the horizontal axis of the tangent through the inflection point of the Fermi function approximation multi-channel analyzer spectrum. It was assumed that this point corresponds to the maximum energy difference of particle traversing the sensitive volume (SV) for which the residual range difference in the continuous slowing down approximation is equal to the thickness of the SV of the microdosimeter. Four material conversion methods were explored, the edge method, the density method, the maximum-deposition energy method and the bin-by-bin transformation method. The uncertainties of the microdosimetric quantities resulting from the linearization, the edge calibration and the detectors thickness were also estimated.

resultsIt was found that the double linear regression had the lowest uncertainty for both microdosimeters. The propagated standard (k = 1) uncertainties on the frequency-mean lineal energy

conclusionThis article demonstrate that the linearity of the readout electronics affects the microdosimetric spectra with a difference in

Indexed as

DiamondSiliconCarbonIonsMonte Carlo MethodRadiometryUncertaintyCarbonDiamondIonsSiliconmicrodosimetrysolid stateuncertainty

Identifiers

PMID36039392
PMCPMC9826416
OpenAlexW4293537672

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.