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The Linear No-Threshold Model of Low-Dose Radiogenic Cancer: A Failed Fiction

机译:低剂量放射源性癌症的线性无阈值模型:失败的小说

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The linear no-threshold (LNT) model for low-dose, radiogenic cancer has been a fixture of radiation protection and regulatory requirements for decades, but its validity has long been contested. This article finds, yet again, more questionable data and analyses purporting to support the model, this within the “gold-standard” data set for estimating radiation effects in humans. Herein is addressed a number of significant uncertainties in the Radiation Effects Research Foundation’s Life Span Study (LSS) cohort of atomic bomb survivors, especially in its latest update of 2017, showing that the study’s support of the LNT model is not evidence based. We find that its latest 2 analyses of solid cancer incidence ignore biology and do not support the LNT model. Additionally, we identify data inconsistencies and missing causalities in the LSS data and analyses that place reliance on uncertain, imputed data and apparently flawed modeling, further invalidating the LNT model. These observations lead to a most credible conclusion, one supporting a threshold model for the dose–response relationship between low-dose radiation exposure and radiogenic cancer in humans. Based upon these findings and those cited from others, it becomes apparent that the LNT model cannot be scientifically valid.
机译:低剂量放射源性癌症的线性无阈值(LNT)模型几十年来一直是辐射防护和监管要求的固定装置,但其有效性一直存在争议。本文再次发现了更多可疑数据,并分析了支持该模型的数据,这些数据均在“金标准”数据集中用于估计人体的辐射效应。在此,辐射效应研究基金会的原子弹幸存者生命周期研究(LSS)队列解决了许多重大不确定性,尤其是在其2017年的最新更新中,表明该研究对LNT模型的支持并非基于证据。我们发现其对实体癌发生率的最新2次分析忽略了生物学,也不支持LNT模型。此外,我们在LSS数据中识别出数据不一致和遗漏的因果关系,并进行了分析,这些数据依赖于不确定的估算数据和显然存在缺陷的建模,从而进一步使LNT模型无效。这些观察结果得出了最可靠的结论,该结论支持一种阈值模型,用于人类低剂量辐射暴露与放射源性癌症之间的剂量反应关系。基于这些发现和从其他人那里引用的发现,很明显,LNT模型不能在科学上有效。

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