Suppr超能文献

狒狒辐射质量(混合场中子和γ射线、仅γ射线)剂量反应模型系统:使用血液生物标志物评估造血急性放射病的严重程度

BABOON RADIATION QUALITY (MIXED-FIELD NEUTRON AND GAMMA, GAMMA ALONE) DOSE-RESPONSE MODEL SYSTEMS: ASSESSMENT OF H-ARS SEVERITY USING HAEMATOLOGIC BIOMARKERS.

作者信息

Bolduc David L, Blakely William F, H Olsen Cara, Agay Diane, Mestries Jean-Claude, Drouet Michel, Hérodin Francis

机构信息

Uniformed Services University of the Health Sciences, Armed Forces Radiobiology Research Institute, Scientific Research Department, Bethesda, MD, USA.

Uniformed Services University of the Health Sciences, Preventive Medicine and Biostatistics Department, Bethesda, MD, USA.

出版信息

Radiat Prot Dosimetry. 2019 Dec 31;186(1):15-23. doi: 10.1093/rpd/ncz048.

Abstract

Results from archived (1986 and 1996) experiments were used to establish a baboon radiation-quality dose-response database with haematology biomarker time-course data following exposure to mixed-fields (i.e. neutron to gamma ratio: 5.5; dose: 0-8 Gy) and 60Co gamma-ray exposures (0-15 Gy). Time-course (i.e. 0-40 d) haematology changes for relevant blood-cell types for both mixed-field (neutron to gamma ratio = 5.5) and gamma ray alone were compared and models developed that showed significant differences using the maximum likehood ratio test. A consensus METREPOL-like haematology ARS (H-ARS) severity scoring system for baboons was established using these results. The data for mixed-field and the gamma only cohorts appeared similar, and so the cohorts were pooled into a single consensus H-ARS severity scoring system. These findings provide proof-of-concept for the use of a METREPOL H-ARS severity scoring system following mixed-field and gamma exposures.

摘要

利用存档(1986年和1996年)实验的结果,建立了一个狒狒辐射质量剂量反应数据库,其中包含暴露于混合场(即中子与γ射线比率:5.5;剂量:0 - 8 Gy)和60Co γ射线照射(0 - 15 Gy)后血液学生物标志物的时间进程数据。比较了混合场(中子与γ射线比率 = 5.5)和单独γ射线照射下相关血细胞类型的时间进程(即0 - 40天)血液学变化,并建立了模型,通过最大似然比检验显示出显著差异。利用这些结果建立了狒狒的共识性类METREPOL血液学急性放射病(H - ARS)严重程度评分系统。混合场和仅γ射线照射队列的数据看起来相似,因此将这些队列合并为一个单一的共识性H - ARS严重程度评分系统。这些发现为混合场和γ射线照射后使用METREPOL H - ARS严重程度评分系统提供了概念验证。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验