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高通量方法在个体基础上重建部分身体和中子辐射暴露。

A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis.

机构信息

Center for Radiological Research, Columbia University Irving Medical Center, New York, NY, USA.

出版信息

Sci Rep. 2020 Feb 19;10(1):2899. doi: 10.1038/s41598-020-59695-9.

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 for actual vs. reconstructed doses in these scenarios reached 0.87 and 0.77, respectively. These encouraging findings demonstrate a proof-of-principle for the proposed approach of high-throughput reconstruction of clinically-relevant complex radiation exposure scenarios.

摘要

基于生物剂量学的复杂辐照场景(局部屏蔽和/或中子+光子混合)个体化重建,可以改善大规模伤亡辐射相关事件后的治疗决策。我们使用高通量微核分析,对离体辐照后的人淋巴细胞进行自动扫描和成像软件分析,以:a)重建局部和/或中子暴露,b)分别估计混合暴露中的光子和中子剂量。其机制背景是,与全身光子照射相比,中子会产生更多带有多个微核/双核细胞的受损严重的淋巴细胞,而局部暴露则会产生较少的此类淋巴细胞。为了将这些差异应用于生物剂量学,我们开发了描述双核细胞中微核分布的指标,并将其用作机器学习或参数分析以下情况的预测因子:(A)同质γ辐照,模拟全身暴露,与辐照血液与未辐照血液混合,模拟局部暴露。(B)X 射线与各种中子+光子混合。结果表明,对暴露类型的场景和剂量重建具有很高的准确性。具体来说,在场景 A 和 B 中,通过暴露类型对样本进行分类的接收者操作特征曲线面积(AUC)分别达到 0.931 和 0.916。在这些场景中,实际与重建剂量的 R 值分别达到 0.87 和 0.77。这些令人鼓舞的发现证明了该高通量重建临床相关复杂辐射暴露场景的方法的原理验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20b7/7031285/0e93a0b1f35c/41598_2020_59695_Fig1_HTML.jpg

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