Abstract

The linear no-threshold (LNT) model of low dose ionizing radiation's (LDIR) role in radiogenic cancer incidence has long served as a pseudo-scientific belief arising from evidence that has never been proven, but has been contested. One source of current evidence that favors the LNT model is the Radiation Effects Research Foundation’s (RERF) Life Span Study (LSS) cohort of Japanese atomic bomb survivors. The RERF has managed the input data, model development, and data analyses for the LSS cohort for 45 years, publishing research papers and reports updating the RERF’s progress. In recent years, the RERF has attempted to identify other cancer risk factors that may have played a role in the cancer incidence of cohort survivors, and this effort has drawn attention to the fact that many earlier years of papers and reports from the RERF have never considered these risk factors, making such publications of questionable merit. This investigation examines two recent papers from the RERF that denominate how the RERF now analyzes specific cancer incidence for cohort members, how it treats lifestyle and other risk factors for various cancers that have arisen in the cohort, and how it continues to find and assert that bomb-blast LDIR remains a distinguishable source of radiogenic cancer in the cohort. The investigation observes that the cohort input data and modeling have extensive deficiencies and defects, many having been identified by RERF authors themselves, that substantially compromise the findings of these two papers, and offers concluding evidence that the LDIR radiogenic cancer model is highly implausible if not impossible. From such evidence, a final conclusion must arise that supports a threshold model for the dose–response relationship between LDIR exposure and radiogenic cancer.

Highlights

  • For more than 70 years, the linear no-threshold (LNT) model of lowdose ionizing radiation's (LDIR) role in radiogenic cancer incidence has been touted as either scientific truth arising from verified and validated evidence or the safest approach to an undetectable hazard at low doses

  • This paper focuses on showing that the belief in the LNT cancer incidence (LNTCI) model by governments, agencies, advisory organizations, and many scientists is badly supported, and that some of the strongest data and analysis supporting the LNTCI model is not accurate

  • Biliary and pancreatic cancer show no demonstrable evidence of LDIR as a risk factor for cancer and will not be pursued further

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Summary

Introduction

For more than 70 years, the linear no-threshold (LNT) model of lowdose ionizing radiation's (LDIR) role in radiogenic cancer incidence has been touted as either scientific truth arising from verified and validated evidence or the safest approach to an undetectable hazard at low doses. In 1948, the Atomic Bomb Casualty Commission (ABCC, founded by the U.S National Academy of Sciences) began extensive interviews through the 1950s to compile records for each A-bomb survivor Based on these records, radiation doses were calculated for most A-bomb survivors. The Radiation Effects Research Foundation (RERF) was established in 1975 and began managing the Life Span Study (LSS) of the Japanese A-bomb survivors' cohort who have been followed for cancer incidence since 1958. RERF studies appear to make extensive use of deficient and defective input data and models for analyses, with few bases of support for the LNTCI model. Their models' outputs can be inconsistent with current cancer science, with analyses magnifying errors so that analysis output error can be substantial. What will be shown is that, in the absence of fully reliable LSS cohort input data, a best estimate of radiation-only cancers within the LSS cohort's large population using current cancer risk factors for the Japanese population offers a strong indication that A-bomb blast LDIR could not produce such cancers, let alone confirm the LNTCI model

Background and Overview
Input Data and Model Deficiencies i Tobacco Smoking
Input Data Defects
Other Known Cancer Risk Factors Applicable to the LSS Cohort
Background
Conclusion
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