ArticleScientific reports2020
A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Partial-body Models of Radiation Exposure.Radiation research · 2025Review
- GScientific reports · 2024Article
- Machine learning approach for quantitative biodosimetry of partial-body or total-body radiation exposures by combining radiation-responsive biomarkers.Scientific reports · 2023Article
- Validation of a High-Throughput Dicentric Chromosome Assay Using Complex Radiation Exposures.Radiation research · 2023Article
- A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays.Scientific reports · 2022Article
- Prediction of Total-Body and Partial-Body Exposures to Radiation Using Plasma Proteomic Expression Profiles.Radiation research · 2022Article
- Neutron Radiobiology and Dosimetry.Radiation research · 2021Article
- Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposures.Scientific reports · 2021Article
- Cytogenetic Damage of Human Lymphocytes in Humanized Mice Exposed to Neutrons and X Rays 24 h After Exposure.Cytogenetic and genome research · 2021Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Biodosimetry-based individualized reconstruction of complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related incidents. We used a high-throughput micronucleus assay with automated scanning and imaging software on ex-vivo irradiated human lymphocytes to: a) reconstruct partial-body and/or neutron exposure, and b) estimate separately the photon and neutron doses in a mixed exposure. The mechanistic background is that, compared with total-body photon irradiations, neutrons produce more heavily-damaged lymphocytes with multiple micronuclei/binucleated cell, whereas partial-body exposures produce fewer such lymphocytes. To utilize these differences for biodosimetry, we developed metrics that describe micronuclei distributions in binucleated cells and serve 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. The results showed high accuracies of scenario and dose reconstructions. Specifically, receiver operating characteristic curve areas (AUC) for sample classification by exposure type reached 0.931 and 0.916 in scenarios A and B, respectively. R
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Registered trials
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