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[诊断性X射线的生物学效应与肿瘤风险。“理论之战”]

[Biological effect and tumor risk of diagnostic x-rays. The "war of the theories"].

作者信息

Selzer E, Hebar A

机构信息

Abteilung für Strahlenbiologie, Klinik für Strahlentherapie, Medizinische Universität Wien, Währinger Gürtel 18-20, A-1090, Wien, Österreich.

出版信息

Radiologe. 2012 Oct;52(10):892-7. doi: 10.1007/s00117-012-2336-x.

Abstract

Since the introduction of ionizing radiation as a treatment and diagnostic tool in humans, scientists have been trying to estimate its side effects and potential health risks. There is now ample evidence for the principal existence of a direct relationship between higher doses and the risks of side effects. Most of the uncertainties lie in the field of low-dose effects especially with respect to the risk of cancer induction. Low-dose effects are usually of relevance in diagnostic medicine while high-dose radiation effects are typically observed after radiotherapeutic treatment for cancer or after nuclear accidents. The current state of the "war of theories" may be summarized as follows: one group of scientists and health regulatory officials favors the hypothesis that there is no threshold dose, i.e. the linear-no-threshold hypothesis (LNT) of radiation which can be regarded as safe. On the contrary, the critics of this hypothesis suggest that the risks of doses below 50 mSv are not measurable or even of clinical relevance and are not adequately described by a linear dose-response relationship. The aim of this article is to summarize the major unresolved issues in this field. Arguments are presented why the validity of the LNT model in the low-dose range should be regarded as at least inconsistent and is thus questionable.

摘要

自从电离辐射作为一种治疗和诊断工具应用于人类以来,科学家们一直在尝试评估其副作用和潜在的健康风险。现在有充分的证据表明,较高剂量与副作用风险之间存在直接关系。大多数不确定性存在于低剂量效应领域,尤其是关于诱发癌症的风险。低剂量效应在诊断医学中通常具有相关性,而高剂量辐射效应通常在癌症放射治疗后或核事故后观察到。“理论之争”的现状可总结如下:一组科学家和健康监管官员支持不存在阈值剂量这一假设,即辐射的线性无阈值假设(LNT),该假设可被视为安全的。相反,这一假设的批评者认为,低于50毫希沃特的剂量风险无法测量,甚至与临床无关,线性剂量反应关系也无法充分描述这些风险。本文的目的是总结该领域主要未解决的问题。文中阐述了为何应认为LNT模型在低剂量范围内的有效性至少是不一致的,因此是值得怀疑的。

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