• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

来自日本原子弹幸存者与霍奇金淋巴瘤患者联合队列的、与放射治疗相关剂量的癌症风险估计。

Cancer risk estimates from the combined Japanese A-bomb and Hodgkin cohorts for doses relevant to radiotherapy.

作者信息

Schneider Uwe, Walsh Linda

机构信息

Division of Medical Physics, Department of Radiation Oncology and Nuclear Medicine, The Triemli Hospital Zürich, 8063 Zürich, Switzerland.

出版信息

Radiat Environ Biophys. 2008 Apr;47(2):253-63. doi: 10.1007/s00411-007-0151-y. Epub 2007 Dec 21.

DOI:10.1007/s00411-007-0151-y
PMID:18157543
Abstract

Most information on the dose-response of radiation-induced cancer is derived from data on the A-bomb survivors who were exposed to gamma-rays and neutrons. Since, for radiation protection purposes, the dose span of main interest is between 0 and 1 Gy, the analysis of the A-bomb survivors is usually focused on this range. However, estimates of cancer risk for doses above 1 Gy are becoming more important for radiotherapy patients and for long-term manned missions in space research. Therefore in this work, emphasis is placed on doses relevant for radiotherapy with respect to radiation-induced solid cancer. The analysis of the A-bomb survivor's data was extended by including two extra high-dose categories (4-6 Sv and 6-13 Sv) and by an attempted combination with cancer data on patients receiving radiotherapy for Hodgkin's disease. In addition, since there are some recent indications for a high neutron dose contribution, the data were fitted separately for three different values for the relative biological effectiveness (RBE) of the neutrons (10, 35 and 100) and a variable RBE as a function of dose. The data were fitted using a linear, a linear-exponential and a plateau-dose-response relationship. Best agreement was found for the plateau model with a dose-varying RBE. It can be concluded that for doses above 1 Gy there is a tendency for a nonlinear dose-response curve. In addition, there is evidence of a neutron RBE greater than 10 for the A-bomb survivor data. Many problems and uncertainties are involved in combing these two datasets. However, since very little is currently known about the shape of dose-response relationships for radiation-induced cancer in the radiotherapy dose range, this approach could be regarded as a first attempt to acquire more information on this area. The work presented here also provides the first direct evidence that the bending over of the solid cancer excess risk dose response curve for the A-bomb survivors, generally observed above 2 Gy, is due to cell killing effects.

摘要

大多数关于辐射诱发癌症剂量反应的信息来自原子弹爆炸幸存者的数据,这些幸存者受到了γ射线和中子的照射。由于出于辐射防护目的,主要关注的剂量范围在0至1 Gy之间,因此对原子弹爆炸幸存者的分析通常集中在这个范围内。然而,对于放射治疗患者和太空研究中的长期载人任务而言,高于1 Gy剂量的癌症风险估计变得越来越重要。因此,在这项工作中,重点放在了与放射治疗相关的辐射诱发实体癌剂量方面。通过纳入两个额外的高剂量类别(4 - 6 Sv和6 - 13 Sv)以及尝试将其与接受霍奇金病放射治疗患者的癌症数据相结合,对原子弹爆炸幸存者的数据进行了扩展分析。此外,由于最近有一些迹象表明中子剂量贡献较高,因此针对中子的相对生物效应(RBE)的三个不同值(10、35和100)以及作为剂量函数的可变RBE,分别对数据进行了拟合。使用线性、线性指数和平坦剂量反应关系对数据进行拟合。发现平坦模型与剂量变化的RBE具有最佳一致性。可以得出结论,对于高于1 Gy的剂量,存在非线性剂量反应曲线的趋势。此外,对于原子弹爆炸幸存者的数据,有证据表明中子RBE大于10。将这两个数据集结合起来涉及许多问题和不确定性。然而,由于目前对于放射治疗剂量范围内辐射诱发癌症的剂量反应关系形状知之甚少,这种方法可被视为在该领域获取更多信息的首次尝试。此处展示的工作还首次直接证明,原子弹爆炸幸存者实体癌超额风险剂量反应曲线通常在2 Gy以上出现的弯曲是由于细胞杀伤效应。

相似文献

1
Cancer risk estimates from the combined Japanese A-bomb and Hodgkin cohorts for doses relevant to radiotherapy.来自日本原子弹幸存者与霍奇金淋巴瘤患者联合队列的、与放射治疗相关剂量的癌症风险估计。
Radiat Environ Biophys. 2008 Apr;47(2):253-63. doi: 10.1007/s00411-007-0151-y. Epub 2007 Dec 21.
2
Site-specific dose-response relationships for cancer induction from the combined Japanese A-bomb and Hodgkin cohorts for doses relevant to radiotherapy.日本原子弹幸存者与霍奇金淋巴瘤患者联合队列中,针对与放射治疗相关剂量的特定部位癌症诱发剂量-反应关系。
Theor Biol Med Model. 2011 Jul 26;8:27. doi: 10.1186/1742-4682-8-27.
3
Indications of the neutron effect contribution in the solid cancer data of the A-bomb survivors.原子弹爆炸幸存者实体癌数据中中子效应贡献的指征。
Health Phys. 2006 Jun;90(6):554-64. doi: 10.1097/01.HP.0000184917.94232.cd.
4
Neutron relative biological effectiveness in Hiroshima and Nagasaki atomic bomb survivors: a critical review.广岛和长崎原子弹幸存者中的中子相对生物效应:一项批判性综述。
J Radiat Res. 2016 Nov;57(6):583-595. doi: 10.1093/jrr/rrw079. Epub 2016 Sep 10.
5
Risk coefficient for gamma-rays with regard to solid cancer.伽马射线对实体癌的风险系数。
Radiat Environ Biophys. 2002 Jun;41(2):113-23. doi: 10.1007/s00411-002-0154-7.
6
The impact of possible modifications to the DS86 dosimetry on neutron risk and relative biological effectiveness.DS86剂量测定法的可能修改对中子风险和相对生物效应的影响。
J Radiol Prot. 2002 Dec;22(4):357-70. doi: 10.1088/0952-4746/22/4/302.
7
Cancer risk estimates for gamma-rays with regard to organ-specific doses Part II: site-specific solid cancers.关于器官特异性剂量的伽马射线致癌风险估计 第二部分:特定部位实体癌
Radiat Environ Biophys. 2004 Dec;43(4):225-31. doi: 10.1007/s00411-004-0263-6. Epub 2004 Nov 13.
8
Cancer risk estimates for gamma-rays with regard to organ-specific doses. Part I: All solid cancers combined.针对特定器官剂量的伽马射线癌症风险估计。第一部分:所有实体癌合并计算。
Radiat Environ Biophys. 2004 Sep;43(3):145-51. doi: 10.1007/s00411-004-0248-5. Epub 2004 Aug 7.
9
Comparison of the risks of cancer incidence and mortality following radiation therapy for benign and malignant disease with the cancer risks observed in the Japanese A-bomb survivors.良性和恶性疾病放射治疗后癌症发病率和死亡率风险与日本原子弹幸存者中观察到的癌症风险的比较。
Int J Radiat Biol. 2001 Apr;77(4):431-64. doi: 10.1080/09553000010022634.
10
Accounting for neutron exposure in the Japanese atomic bomb survivors.日本原子弹幸存者的中子暴露情况核算。
Radiat Res. 2014 Dec;182(6):587-98. doi: 10.1667/RR13663.1.

引用本文的文献

1
A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system.使用 TOPAS 蒙特卡罗系统从治疗计划中进行场内和场外患者特定继发性癌症风险估计的框架。
Phys Med Biol. 2024 Aug 6;69(16). doi: 10.1088/1361-6560/ad64b6.
2
Radiation Therapy for Stage IIA/B Seminoma: Modeling Secondary Cancer Risk for Protons and VMAT versus 3D Photons.IIA/B期精原细胞瘤的放射治疗:质子和容积调强弧形放疗与三维光子放疗的继发性癌症风险建模
Cancers (Basel). 2024 Feb 15;16(4):784. doi: 10.3390/cancers16040784.
3
Estimation of the risk of secondary cancer in rectum and bladder after radiation therapy for prostate cancer using a feasibility dose-volume histogram.

本文引用的文献

1
Solid cancer incidence in atomic bomb survivors: 1958-1998.原子弹爆炸幸存者实体癌发病率:1958 - 1998年
Radiat Res. 2007 Jul;168(1):1-64. doi: 10.1667/RR0763.1.
2
Current risk estimates based on the A-bomb survivors data - a discussion in terms of the ICRP recommendations on the neutron weighting factor.基于原子弹幸存者数据的当前风险估计——根据国际辐射防护委员会关于中子权重因子的建议进行的讨论。
Radiat Prot Dosimetry. 2007;126(1-4):423-31. doi: 10.1093/rpd/ncm087. Epub 2007 May 28.
3
A temporal forecast of radiation environments for future space exploration missions.
利用可行性剂量体积直方图评估前列腺癌放疗后直肠和膀胱发生继发性癌症的风险。
Phys Imaging Radiat Oncol. 2023 Jul 5;27:100468. doi: 10.1016/j.phro.2023.100468. eCollection 2023 Jul.
4
Towards sustainable human space exploration-priorities for radiation research to quantify and mitigate radiation risks.迈向可持续的人类太空探索——辐射研究的优先事项,以量化和减轻辐射风险。
NPJ Microgravity. 2023 Jan 27;9(1):8. doi: 10.1038/s41526-023-00262-7.
5
Comparison of Breast Cancer Radiotherapy Techniques Regarding Secondary Cancer Risk and Normal Tissue Complication Probability - Modelling and Measurements Using a 3D-Printed Phantom.乳腺癌放疗技术在继发癌风险和正常组织并发症概率方面的比较——使用3D打印体模的建模与测量
Front Oncol. 2022 Jul 27;12:892923. doi: 10.3389/fonc.2022.892923. eCollection 2022.
6
Impact of lifetime attributable risk of radiation-induced secondary cancer in proton craniospinal irradiation with vertebral-body-sparing for young pediatric patients with medulloblastoma.质子颅脊放疗联合脊柱 spared 技术治疗儿童髓母细胞瘤时,终身归因于放射性二次癌症的风险影响。
J Radiat Res. 2021 Mar 10;62(2):186-197. doi: 10.1093/jrr/rraa118.
7
Calculating and estimating second cancer risk from breast radiotherapy using Monte Carlo code with internal body scatter for each out-of-field organ.使用带有体内散射的蒙特卡罗代码,针对每个射野外器官计算和估计乳腺癌放疗后的二次癌症风险。
J Appl Clin Med Phys. 2020 Dec;21(12):62-73. doi: 10.1002/acm2.13060. Epub 2020 Oct 30.
8
Proton pencil beam scanning reduces secondary cancer risk in breast cancer patients with internal mammary chain involvement compared to photon radiotherapy.与光子放射治疗相比,质子铅笔束扫描可降低内乳链受累乳腺癌患者的二次癌症风险。
Radiat Oncol. 2020 Oct 2;15(1):228. doi: 10.1186/s13014-020-01671-8.
9
Estimation of secondary cancer risk after radiotherapy in high-risk prostate cancer patients with pelvic irradiation.盆腔照射的高危前列腺癌患者放疗后继发癌症风险的估计。
J Appl Clin Med Phys. 2020 Sep;21(9):82-89. doi: 10.1002/acm2.12972. Epub 2020 Jul 16.
10
The risk for developing a secondary cancer after breast radiation therapy: Comparison of photon and proton techniques.乳腺癌放射治疗后发生继发性癌症的风险:光子和质子技术的比较。
Radiother Oncol. 2020 Aug;149:212-218. doi: 10.1016/j.radonc.2020.05.035. Epub 2020 May 25.
未来太空探索任务辐射环境的时间预测。
Radiat Environ Biophys. 2007 Jun;46(2):95-100. doi: 10.1007/s00411-006-0080-1. Epub 2006 Dec 13.
4
Effective dose of A-bomb radiation in Hiroshima and Nagasaki as assessed by chromosomal effectiveness of spectrum energy photons and neutrons.根据光谱能量光子和中子的染色体效应评估广岛和长崎原子弹辐射的有效剂量。
Radiat Environ Biophys. 2006 Jul;45(2):79-91. doi: 10.1007/s00411-006-0051-6. Epub 2006 Jun 29.
5
Indications of the neutron effect contribution in the solid cancer data of the A-bomb survivors.原子弹爆炸幸存者实体癌数据中中子效应贡献的指征。
Health Phys. 2006 Jun;90(6):554-64. doi: 10.1097/01.HP.0000184917.94232.cd.
6
Dose-effect models for risk-relationship to cell survival parameters.细胞存活参数风险关系的剂量效应模型。
Acta Oncol. 2005;44(8):829-35. doi: 10.1080/02841860500401159.
7
Radiation risk estimates after radiotherapy: application of the organ equivalent dose concept to plateau dose-response relationships.放射治疗后的辐射风险估计:器官等效剂量概念在平台剂量-反应关系中的应用。
Radiat Environ Biophys. 2005 Dec;44(3):235-9. doi: 10.1007/s00411-005-0016-1. Epub 2005 Nov 5.
8
Solid tumor risks after high doses of ionizing radiation.高剂量电离辐射后的实体瘤风险。
Proc Natl Acad Sci U S A. 2005 Sep 13;102(37):13040-5. doi: 10.1073/pnas.0506648102. Epub 2005 Sep 6.
9
The use of risk estimation models for the induction of secondary cancers following radiotherapy.放疗后继发性癌症诱发的风险评估模型的应用。
Acta Oncol. 2005;44(4):339-47. doi: 10.1080/02841860510029833.
10
A simple dose-response relationship for modeling secondary cancer incidence after radiotherapy.一种用于模拟放疗后继发性癌症发病率的简单剂量反应关系。
Z Med Phys. 2005;15(1):31-7. doi: 10.1078/0939-3889-00242.