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首页> 外文期刊>Health Physics: Official Journal of the Health Physics Society >Successful Teaching of Radiobiology Students in the Medical Management of Acute Radiation Effects From Real Case Histories Using Clinical Signs and Symptoms and Taking Advantage of Recently Developed Software Tools
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Successful Teaching of Radiobiology Students in the Medical Management of Acute Radiation Effects From Real Case Histories Using Clinical Signs and Symptoms and Taking Advantage of Recently Developed Software Tools

机译:在使用临床症状和症状的真实辐射效应的急性辐射效应中的辐射生物学学生的成功教学,并利用最近开发的软件工具

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In 2015, the Bundeswehr Institute of Radiobiology organized a North Atlantic Treaty Organization exercise to examine the significance of clinical signs and symptoms for the prediction of late-occurring acute radiation syndrome. Cases were generated using either the Medical Treatment Protocols for Radiation Accident Victims (METREPOL, n = 167) system or using real-case descriptions extracted from a database system for evaluation and archiving of radiation accidents based on case histories (SEARCH, n = 24). The cases ranged from unexposed [response category 0 (RC 0, n = 89)] to mild (RC 1, n = 45), moderate (RC 2, n = 19), severe (RC 3, n = 20), and lethal (RC 4, n = 18) acute radiation syndrome. During the previous exercise, expert teams successfully predicted hematological acute radiation syndrome severity, determined whether hospitalization was required, and gave treatment recommendations, taking advantage of different software tools developed by the North Atlantic Treaty Organization teams. The authors provided the same data set to radiobiology students who were introduced to the medical management of acute effects after radiation exposure and the software tools during a class lasting 15 h. Corresponding to the previous results, difficulties in the discrimination between RC 0/RC 1 and RC 3/RC 4, as well as a systematic underestimation of RC 1 and RC 2, were observed. Nevertheless, after merging reported response categories into clinically relevant groups (RC 0-1, RC 2-3, and RC 3-4), it was found that the majority of cases (95.2% +/- 2.2 standard deviations) were correctly identified and that 94.7% (+/- 2.6 standard deviations) developing acute radiation syndrome and z96.4% (+/- 1.6 standard deviations) requiring hospitalization were identified correctly. Two out of three student teams also provided a dose estimate. These results are comparable to the best-performing team of the 2015 North Atlantic Treaty Organization exercise (response category: 92.5%; acute radiation syndrome: 95.8%; hospitalization: 96.3%).
机译:2015年,联邦群集辐射生物学研究所组织了北大西洋条约组织练习,审查临床症状和症状对晚期急性辐射综合征预测的意义。使用辐射事故受害者(Metrepol,N = 167)系统的医疗协议生成病例,或者使用从数据库系统中提取的实际描述,以基于案例历史(搜索,n = 24)进行评估和存档辐射事故。案例从未暴露的[响应类别0(rc 0,n = 89)]到温和(RC 1,n = 45),中等(RC 2,N = 19),严重(RC 3,N = 20),和致命(RC 4,N = 18)急性辐射综合征。在上一项练习中,专家组成功地预测血液急性辐射综合征严重程度,确定是否需要住院,并获得治疗建议,利用北大西洋条约组织团队开发的不同软件工具。作者提供了与放射生物学学生的辐射生物学学生提供了相同的数据,该学生被引入辐射曝光后急性效应的医疗管理和持续15小时的课程中的软件工具。对应于先前的结果,观察到RC 0 / RC 1和RC 3 / RC 4之间判别的困难以及RC 1和RC 2的系统低估。然而,在将报告的回应类别合并到临床相关群体(RC 0-1,RC 2-3和RC 3-4)后,发现大多数情况(95.2%+/- 2.2标准偏差)被正确识别出来并且正确鉴定了需要住院治疗的急性辐射综合征和Z96.4%(+/- 1.6标准偏差)的94.7%(+/- 2.6标准偏差)。三个学生团队中的两个也提供了一种剂量估计。这些结果与2015年北大西洋条约组织练习的最佳表现相当(响应类别:92.5%;急性辐射综合征:95.8%;住院治疗:96.3%)。

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