Time-integrated radiation risk metrics and interpopulation variability of survival

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Alexander Ulanowski , Nobuhiko Ban , Kotaro Ozasa , Werner Rühm , Edward Semones , Mark Shavers , Ludovic Vaillant
{"title":"Time-integrated radiation risk metrics and interpopulation variability of survival","authors":"Alexander Ulanowski ,&nbsp;Nobuhiko Ban ,&nbsp;Kotaro Ozasa ,&nbsp;Werner Rühm ,&nbsp;Edward Semones ,&nbsp;Mark Shavers ,&nbsp;Ludovic Vaillant","doi":"10.1016/j.zemedi.2023.08.002","DOIUrl":null,"url":null,"abstract":"<div><p>Task Group 115 of the International Commission on Radiological Protection is focusing on mission-related exposures to space radiation and concomitant health risks for space crew members including, among others, risk of cancer development. Uncertainties in cumulative radiation risk estimates come from the stochastic nature of the considered health outcome (i.e., cancer), uncertainties of statistical inference and model parameters, unknown secular trends used for projections of population statistics and unknown variability of survival properties between individuals or population groups. The variability of survival is usually ignored when dealing with large groups, which can be assumed well represented by the statistical data for the contemporary general population, either in a specific country or world averaged. Space crew members differ in many aspects from individuals represented by the general population, including, for example, their lifestyle and health status, nutrition, medical care, training and education. The individuality of response to radiation and lifespan is explored in this modelling study. Task Group 115 is currently evaluating applicability and robustness of various risk metrics for quantification of radiation-attributed risks of cancer for space crew members. This paper demonstrates the impact of interpopulation variability of survival curves on values and uncertainty of the estimates of the time-integrated radiation risk of cancer.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0939388923000910/pdfft?md5=957caec7a052d20a9597624238b43d94&pid=1-s2.0-S0939388923000910-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0939388923000910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

Task Group 115 of the International Commission on Radiological Protection is focusing on mission-related exposures to space radiation and concomitant health risks for space crew members including, among others, risk of cancer development. Uncertainties in cumulative radiation risk estimates come from the stochastic nature of the considered health outcome (i.e., cancer), uncertainties of statistical inference and model parameters, unknown secular trends used for projections of population statistics and unknown variability of survival properties between individuals or population groups. The variability of survival is usually ignored when dealing with large groups, which can be assumed well represented by the statistical data for the contemporary general population, either in a specific country or world averaged. Space crew members differ in many aspects from individuals represented by the general population, including, for example, their lifestyle and health status, nutrition, medical care, training and education. The individuality of response to radiation and lifespan is explored in this modelling study. Task Group 115 is currently evaluating applicability and robustness of various risk metrics for quantification of radiation-attributed risks of cancer for space crew members. This paper demonstrates the impact of interpopulation variability of survival curves on values and uncertainty of the estimates of the time-integrated radiation risk of cancer.

时间积分辐射风险度量和种群间存活率变异性。
国际辐射防护委员会第 115 工作组正在重点研究与飞行任务有关的空间辐 射照射以及随之而来的空间乘员健康风险,其中包括癌症发病风险。累积辐射风险估算中的不确定性来自于所考虑的健康结果(即癌症)的随机性、统计推断和模型参数的不确定性、用于预测人口统计数据的未知世俗趋势以及个人或人口群体之间生存属性的未知变异性。在处理大群体时,通常会忽略存活率的变异性,因为可以假定当代一般人口的统计数据很好地代表了特定国家或世界平均水平。航天员在许多方面都不同于普通人,例如他们的生活方式和健康状况、营养、医疗保健、培训和教育。本建模研究探讨了对辐射和寿命反应的个体性。第 115 号任务组目前正在评估各种风险度量的适用性和稳健性,以量化空间乘员的辐射致癌风险。本文论证了生存曲线的人群间变异性对癌症时间积分辐射风险估计值和不确定性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信