Suppr超能文献

猪辐射性脱毛的定量研究:皮肤辐射剂量的生物学指标。

Quantification of radiation-induced epilation in the pig: a biological indicator of radiation dose to the skin.

作者信息

Sieber V K, Wilkinson J, Aluri G R, Bywaters T

机构信息

Department of Life Sciences, University of East London, UK.

出版信息

Int J Radiat Biol. 1993 Mar;63(3):355-60. doi: 10.1080/09553009314550471.

Abstract

Epilation in the pig has been quantified following single exposures of X-rays in the range 1.0-25.0 Gy. The number of hairs in each field was determined by counting hairs from photographic negatives weekly for 10 weeks following irradiation, and the percentage hair loss was calculated for each individual field from an initial unirradiated control value. Hair loss was dose-dependent for exposures between 1.0 and 15.0 Gy and this response was linearly related to dose. No further increase in hair loss was observed for doses > or = 15.0 Gy, as 20-30% of the hairs remained. It was assumed that these hairs were not actively growing at the time of irradiation and did, therefore, not express damage. The ED50 for the loss of > or = 30% of hairs was 3.8 Gy whilst that for the loss of > or = 50% of hairs was 6.8 Gy and for the loss of > or = 67% of hairs was 12.5 Gy. There was +/- 7% hair loss per Gy exposure for doses between 0.0 and 15.0 Gy. Quantification of hair loss provided a more sensitive assay than the use of visual scoring systems. Hair loss was detectable within 4 weeks of irradiation. The system is simple, non-invasive and appears to have considerable potential for use as a biological dosimeter.

摘要

对猪单次暴露于1.0 - 25.0 Gy范围内的X射线后进行了脱毛定量研究。在照射后10周内,每周通过对摄影底片上的毛发进行计数来确定每个视野中的毛发数量,并根据初始未照射的对照值计算每个单独视野中的毛发损失百分比。在1.0至15.0 Gy的暴露剂量范围内,毛发损失呈剂量依赖性,且这种反应与剂量呈线性关系。对于剂量≥15.0 Gy,未观察到毛发损失进一步增加,因为仍有20 - 30%的毛发留存。据推测,这些毛发在照射时并非处于活跃生长状态,因此未表现出损伤。毛发损失≥30%的半数有效剂量(ED50)为3.8 Gy,毛发损失≥50%的ED50为6.8 Gy,毛发损失≥67%的ED50为12.5 Gy。在0.0至15.0 Gy的剂量范围内,每Gy暴露的毛发损失率为±7%。与使用视觉评分系统相比,毛发损失定量提供了一种更灵敏的检测方法。在照射后4周内即可检测到毛发损失。该系统简单、无创,似乎具有作为生物剂量计使用的巨大潜力。

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