Analytical and quasi-Bayesian methods as development of the iterative approach for mixed radiation biodosimetry

Słonecka, Iwona; Łukasik, Krzysztof; Fornalski, Krzysztof W.

doi:10.1007/s00411-018-0745-6

Cited by 6 publications

(16 citation statements)

References 7 publications

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“…Using the Monte Carlo program, the doses and aberration frequencies were assessed in several ways (using the standard calibration curves, Eqs. (10) and (11)):…”

Section: Program Resultsmentioning

confidence: 99%

“…It is quite accurate but often requires many iterations and therefore calculations can be lengthy. This method can be modified into the analytical solution proposed recently by us [10], which removes the need for a large number of repetitions and is nothing more than an analytical description of the iterative method, thus, it gives the same results (with better precision). The primary set-back of both of these methods is that neither of them can be used if the γto-neutron ratio is not precisely known.…”

Section: Discussionmentioning

confidence: 99%

“…In these cases, θ can be given by a prior function, p(θ) (discussed in the next subsection). The enhanced analytical method, which is thoroughly described in recently published papers [6,10], builds on elements of Bayesian statistics (prior functions) as well as on the techniques of the iterative method. Thus, variables from the previous approach can be changed (θ(D x )) and the probability distribution of the dose can be expressed as the function of dose, P (D x ) [6,7].…”

Section: Enhanced Analytical and Bayesian Methodsmentioning

confidence: 99%

“…The dose-response calibration curves used for determining the constants (Eqs. (10) and (11)) were fitted based on the results of the analysis Y g = (0.0005 ± 0.0001) + (0.0119 ± 0.0027) D g…”

Section: Calibrationmentioning

confidence: 99%

See 3 more Smart Citations

The Monte Carlo Method of Mixed Radiation Field Dose Assessment in the Cytogenetic Biodosimetry

2018

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Without any available physical measurements, absorbed doses of radiation can be assessed through the use of biological methods, of which the most common is cytogenetic biodosimetry. Evaluating the absorbed dose of mixed radiation requires determining the separate doses of each component. This paper aims to test the effectiveness of the Monte Carlo method as an alternate statistical approach for assessing absorbed doses of mixed neutron-γ fields. It combines the iterative method with Bayesian statistics, allowing for evaluation both when the γ to total absorbed dose ratio is known as well as when it is not. Additionally, this paper demonstrates a few of the statistical tests made possible by the Monte Carlo technique, including the distribution of damages among cells.

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“…Using the Monte Carlo program, the doses and aberration frequencies were assessed in several ways (using the standard calibration curves, Eqs. (10) and (11)):…”

Section: Program Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Enhanced Analytical and Bayesian Methodsmentioning

confidence: 99%

Section: Calibrationmentioning

confidence: 99%

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The Monte Carlo Method of Mixed Radiation Field Dose Assessment in the Cytogenetic Biodosimetry

2018

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“…There is a large body of literature on various computational biodosimetry approaches for estimating radiation doses in various exposure scenarios based on micronuclei yields and other cytogenetics markers like dicentric chromosomes [22][23][24][25][26][27][28][29][30][31][32] . As compared to uniform photon exposures, both neutron and partial body exposures result in a non-poissonian distribution of damage in the cells scored for biodosimetry due to the shielding and/or differences in radiation track structure and energy deposition patterns.…”

Section: Current Approaches For Evaluating Complex Exposuresmentioning

confidence: 99%

New High Throughput Approaches to Detect Partial-body and Neutron Exposures on an Individual Basis

Shuryak

Turner

Perrier

et al. 2019

Preprint

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Biodosimetry-based discrimination between homogeneous total-body photon exposure and complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related incidents. Our study objective was to use high-throughput biomarkers to: a) detect partial-body and/or neutron exposure on an individual basis, and b) estimate separately the photon and neutron doses in a mixed exposure.We developed a novel approach, where metrics related to the shapes of micronuclei distributions per binucleated cell in ex-vivo irradiated human lymphocytes (variance/mean, kurtosis, skewness, etc.) served as predictors in machine learning or parametric analyses of the following scenarios: (A) Homogeneous gamma-irradiation, mimicking total-body exposures, vs. mixtures of irradiated blood with unirradiated blood, mimicking partial-body exposures. (B) X rays vs. various neutron + photon mixtures. Classification of samples as homogeneously vs. heterogeneously irradiated (scenario A) achieved a receiver operating characteristic curve area (AUROC) of 0.931 (uncertainty range of 0.903-0.951), and R 2 for actual vs. reconstructed mean dose was 0.87. Detection of samples with ≥ 10% neutron contribution (scenario B) achieved AUROC of 0.916 (0.893-0.943), and R 2 for reconstructing photon-equivalent dose was 0.77. These encouraging findings demonstrate a proof-of-principle for the proposed approach of analyzing micronuclei/cell distributions to detect clinically-relevant complex radiation exposure scenarios.biodosimetry approach in this scenario was to distinguish neutron + photon mixtures from pure photon exposures, and to quantify the neutron contribution.

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Simplified Bayesian method: application in cytogenetic biological dosimetry of mixed n + γ radiation fields

Słonecka

Łukasik

Fornalski

2018

Radiat Environ Biophys

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This article describes the application of a simplified Bayesian method for estimation of doses from a mixed field using cytogenetic biological dosimetry, taking as an example neutron and gamma radiation emitted from the MARIA nuclear research reactor in Poland. The Bayesian approach is a good alternative to the commonly used iterative method, which allows separate dose estimation. In the present paper, a computer program, which uses the iterative and simplified Bayesian methods to calculate mixed radiation doses, is introduced.

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Analytical and quasi-Bayesian methods as development of the iterative approach for mixed radiation biodosimetry

Cited by 6 publications

References 7 publications

The Monte Carlo Method of Mixed Radiation Field Dose Assessment in the Cytogenetic Biodosimetry

The Monte Carlo Method of Mixed Radiation Field Dose Assessment in the Cytogenetic Biodosimetry

New High Throughput Approaches to Detect Partial-body and Neutron Exposures on an Individual Basis

Simplified Bayesian method: application in cytogenetic biological dosimetry of mixed n + γ radiation fields

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