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Beck TR. Note on dose conversion for radon exposure. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2024; 63:351-356. [PMID: 38884804 PMCID: PMC11341753 DOI: 10.1007/s00411-024-01077-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/01/2024] [Indexed: 06/18/2024]
Abstract
The epidemiological approach to converting radon exposure to effective dose is examined. Based on the definition of the effective dose, the dose conversion is obtained from the equivalence of lung-specific detriment associated with low-LET radiation and with radon exposure. This approach most reliably estimates effective dose per radon exposure on the basis of epidemiological data and implicitly includes the radiation weighting factor required to calculate the effective dose from radon exposure using the dosimetric approach, applying biokinetic and dosimetric models. Consistency between the results of the epidemiological and dosimetric approaches is achieved by using a radiation weighting factor of about 10 for alpha particles instead of the current ICRP value of 20. In contrast, the epidemiological approach implemented in ICRP 65, and referred to as dose conversion convention, was based on direct comparison of total radiation detriment with lung detriment from radon exposure. With the revision of radiation detriments in ICRP 103, this approach can be judged to overestimate the effective dose per radon exposure by about a factor of two because the tissue weighting factor for lung differs from the value of relative detriment to which it relates.
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Affiliation(s)
- Thomas R Beck
- Federal Office for Radiation Protection, Berlin, Germany.
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Liu Y, Xu Y, Xu W, He Z, Fu C, Du F. Radon and lung cancer: Current status and future prospects. Crit Rev Oncol Hematol 2024; 198:104363. [PMID: 38657702 DOI: 10.1016/j.critrevonc.2024.104363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/24/2024] [Accepted: 04/13/2024] [Indexed: 04/26/2024] Open
Abstract
Beyond tobacco smoking, radon takes its place as the second most significant contributor to lung cancer, excluding hereditary and other biologically related factors. Radon and its byproducts play a pivotal role in exposing humans to elevated levels of natural radiation. Approximately 10-20 % of lung cancer cases worldwide can be attributed to radon exposure, leading to between 3 % and 20 % of all lung cancer-related deaths. Nevertheless, a knowledge gap persists regarding the association between radon and lung cancer, impeding radon risk reduction initiatives globally. This review presents a comprehensive overview of the current state of research in epidemiology, cell biology, dosimetry, and risk modeling concerning radon exposure and its relevance to lung cancer. It also delves into methods for measuring radon concentrations, monitoring radon risk zones, and identifying priorities for future research.
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Affiliation(s)
- Yan Liu
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China
| | - Yanqing Xu
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China.
| | - Wei Xu
- Health Management Center, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China
| | - Zhengzhong He
- School of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, China
| | - Cong Fu
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China
| | - Fen Du
- Department of Biochemistry and Molecular Biology, Wuhan University TaiKang Medical School (School of Basic Medical Sciences), Wuhan, Hubei 430071, China
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Kreuzer M, Sommer M, Deffner V, Bertke S, Demers PA, Kelly-Reif K, Laurier D, Rage E, Richardson DB, Samet JM, Schubauer-Berigan MK, Tomasek L, Wiggins C, Zablotska LB, Fenske N. Lifetime excess absolute risk for lung cancer due to exposure to radon: results of the pooled uranium miners cohort study PUMA. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2024; 63:7-16. [PMID: 38172372 PMCID: PMC10920468 DOI: 10.1007/s00411-023-01049-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
The Pooled Uranium Miners Analysis (PUMA) study is the largest uranium miners cohort with 119,709 miners, 4.3 million person-years at risk and 7754 lung cancer deaths. Excess relative rate (ERR) estimates for lung cancer mortality per unit of cumulative exposure to radon progeny in working level months (WLM) based on the PUMA study have been reported. The ERR/WLM was modified by attained age, time since exposure or age at exposure, and exposure rate. This pattern was found for the full PUMA cohort and the 1960 + sub-cohort, i.e., miners hired in 1960 or later with chronic low radon exposures and exposure rates. The aim of the present paper is to calculate the lifetime excess absolute risk (LEAR) of lung cancer mortality per WLM using the PUMA risk models, as well as risk models derived in previously published smaller uranium miner studies, some of which are included in PUMA. The same methods were applied for all risk models, i.e., relative risk projection up to <95 years of age, an exposure scenario of 2 WLM per year from age 18-64 years, and baseline mortality rates representing a mixed Euro-American-Asian population. Depending upon the choice of model, the estimated LEAR per WLM are 5.38 × 10-4 or 5.57 × 10-4 in the full PUMA cohort and 7.50 × 10-4 or 7.66 × 10-4 in the PUMA 1960 + sub-cohort, respectively. The LEAR per WLM estimates derived from risk models reported for previously published uranium miners studies range from 2.5 × 10-4 to 9.2 × 10-4. PUMA strengthens knowledge on the radon-related lung cancer LEAR, a useful way to translate models for policy purposes.
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Affiliation(s)
- M Kreuzer
- Federal Office for Radiation Protection (BfS), Munich (Neuherberg), Germany.
| | - M Sommer
- Federal Office for Radiation Protection (BfS), Munich (Neuherberg), Germany
| | - V Deffner
- Federal Office for Radiation Protection (BfS), Munich (Neuherberg), Germany
| | - S Bertke
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - P A Demers
- Occupational Cancer Research Centre, Toronto, Canada
| | - K Kelly-Reif
- National Institute for Occupational Safety and Health, Cincinnati, OH, USA
| | - D Laurier
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
| | - E Rage
- Institute for Radiological Protection and Nuclear Safety (IRSN), Fontenay-aux-Roses, France
| | | | - J M Samet
- Colorado School of Public Health, Aurora, CO, USA
| | | | - L Tomasek
- National Radiation Protection Institute, Prague, Czech Republic
| | - C Wiggins
- University of New Mexico, Albuquerque, NM, USA
- New Mexico Tumor Registry, Albuquerque, NM, USA
| | | | - N Fenske
- Federal Office for Radiation Protection (BfS), Munich (Neuherberg), Germany
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Kreuzer M, Deffner V, Sommer M, Fenske N. Updated risk models for lung cancer due to radon exposure in the German Wismut cohort of uranium miners, 1946-2018. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2023; 62:415-425. [PMID: 37695330 PMCID: PMC10628028 DOI: 10.1007/s00411-023-01043-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/12/2023]
Abstract
UNSCEAR recently recommended that future research on the lung cancer risk at low radon exposures or exposure rates should focus on more contemporary uranium miners. For this purpose, risk models in the German Wismut cohort of uranium miners were updated extending the follow-up period by 5 years to 1946-2018. The full cohort (n = 58,972) and specifically the 1960 + sub-cohort of miners first hired in 1960 or later (n = 26,764) were analyzed. The 1960 + sub-cohort is characterized by low protracted radon exposure of high quality of measurements. Internal Poisson regression was used to estimate the excess relative risk (ERR) for lung cancer per cumulative radon exposure in Working Level Months (WLM). Applying the BEIR VI exposure-age-concentration model, the ERR/100 WLM was 2.50 (95% confidence interval (CI) 0.81; 4.18) and 6.92 (95% CI < 0; 16.59) among miners with attained age < 55 years, time since exposure 5-14 years, and annual exposure rates < 0.5 WL in the full (n = 4329 lung cancer deaths) and in the 1960 + sub-cohort (n = 663 lung cancer deaths), respectively. Both ERR/WLM decreased with older attained ages, increasing time since exposure, and higher exposure rates. Findings of the 1960 + sub-cohort are in line with those from large pooled studies, and ERR/WLM are about two times higher than in the full Wismut cohort. Notably, 20-30 years after closure of the Wismut mines in 1990, the estimated fraction of lung cancer deaths attributable to occupational radon exposure is still 26% in the full Wismut cohort and 19% in the 1960 + sub-cohort, respectively. This demonstrates the need for radiation protection against radon.
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Affiliation(s)
- M Kreuzer
- Federal Office for Radiation Protection, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
| | - V Deffner
- Federal Office for Radiation Protection, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - M Sommer
- Federal Office for Radiation Protection, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - N Fenske
- Federal Office for Radiation Protection, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
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Delimiting radiation protection distance of underground uranium mining and metallurgy facilities: A case study in China. Heliyon 2022; 8:e12419. [PMID: 36590546 PMCID: PMC9800555 DOI: 10.1016/j.heliyon.2022.e12419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 11/01/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022] Open
Abstract
Delimiting radiation protection distance of uranium mining and metallurgy facilities is an important radiation protection approach to control the effective public dose caused by radon and radon progeny. Ventilation shafts are the main radon release paths of underground uranium mines. It is of great importance to research the diffusion regularities and influence range of the radon around the ventilation shaft. In this study, long-term and short-term radon accumulation monitoring approaches were adapted for onsite investigation. More than 520 sets of radon concentration were acquired. The survey results effectively revealed the distribution regularities of the radon concentration around the ventilation shaft with time, space, and working conditions. These results provide data for radiation protection in uranium mines. In addition, a radiation protection distance delimiting way was proposed for the investigated facility through effective public dose assessment.
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Madas BG, Boei J, Fenske N, Hofmann W, Mezquita L. Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? RADIATION AND ENVIRONMENTAL BIOPHYSICS 2022; 61:561-577. [PMID: 36208308 PMCID: PMC9630403 DOI: 10.1007/s00411-022-00998-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 09/28/2022] [Indexed: 05/14/2023]
Abstract
Exposure to radon progeny results in heterogeneous dose distributions in many different spatial scales. The aim of this review is to provide an overview on the state of the art in epidemiology, clinical observations, cell biology, dosimetry, and modelling related to radon exposure and its association with lung cancer, along with priorities for future research. Particular attention is paid on the effects of spatial variation in dose delivery within the organs, a factor not considered in radiation protection. It is concluded that a multidisciplinary approach is required to improve risk assessment and mechanistic understanding of carcinogenesis related to radon exposure. To achieve these goals, important steps would be to clarify whether radon can cause other diseases than lung cancer, and to investigate radon-related health risks in children or persons at young ages. Also, a better understanding of the combined effects of radon and smoking is needed, which can be achieved by integrating epidemiological, clinical, pathological, and molecular oncology data to obtain a radon-associated signature. While in vitro models derived from primary human bronchial epithelial cells can help to identify new and corroborate existing biomarkers, they also allow to study the effects of heterogeneous dose distributions including the effects of locally high doses. These novel approaches can provide valuable input and validation data for mathematical models for risk assessment. These models can be applied to quantitatively translate the knowledge obtained from radon exposure to other exposures resulting in heterogeneous dose distributions within an organ to support radiation protection in general.
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Affiliation(s)
- Balázs G Madas
- Environmental Physics Department, Centre for Energy Research, Budapest, Hungary.
| | - Jan Boei
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Nora Fenske
- Federal Office for Radiation Protection, Munich (Neuherberg), Germany
| | - Werner Hofmann
- Biological Physics, Department of Chemistry and Physics of Materials, University of Salzburg, Salzburg, Austria
| | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomic and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
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Banríon MH, Elío J, Crowley QG. Using geogenic radon potential to assess radon priority area designation, a case study around Castleisland, Co. Kerry, Ireland. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2022; 251-252:106956. [PMID: 35780671 DOI: 10.1016/j.jenvrad.2022.106956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Globally, indoor radon exposure is the leading cause of lung cancer in non-smokers and second most common cause after tobacco smoking. Soil-gas radon is the main contributor to indoor radon, but its spatial distribution is highly variable, which poses certain challenges for mapping and predicting radon anomalies. Measurement of indoor radon typically takes place over long periods of time (e.g. 3 months) and is seasonally adjusted to an annual average concentration. In this article we investigate the suitability of using soil-gas radon and soil-permeability measurements for rapid radon risk assessments at local scale. The area of Castleisland, Co. Kerry was chosen as a case study due to availability of indoor radon data and the presence of significant radon anomalies. In total, 135 soil-gas and permeability measurements were collected and complemented with 180 indoor radon measurements for an identical 6 km2 area. Both soil-gas and indoor radon concentrations ranged from very low (<10 kBqm-3, 0.1 Bqm-3) to anomalously high (>1433 kBqm-3, 65,000 Bqm-3) values. Our method classifies almost 50% of the area as a high radon potential area, and allows assessment of geogenic controls on radon distribution by including other geological variables. Cumulatively, the percentage of indoor radon variance explained by soil-gas radon concentration, bedrock geology, subsoil permeability and Quaternary geology is 34% (16%, 10%, 4% and 4% respectively). Soil-gas and indoor radon anomalies are associated with black shales, whereas the presence of karst and geological faults are other contributing factors. Sampling of radon soil-gas and soil permeability, used in conjunction with other geogenic data, can therefore facilitate rapid designation of radon priority areas. Such an approach demonstrates the usefulness of high-resolution geogenic maps in predicting indoor radon risk categories when compared to the application of indoor radon measurements alone. This method is particularly useful to assess radon potential in areas where indoor radon measurements are sparse or lacking, with particular application to rural areas, land rezoned for residential use, or for sites prior to building construction.
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Affiliation(s)
- M H Banríon
- Geology Department, School of Natural Sciences, Trinity College, Dublin 2, Ireland.
| | - J Elío
- Department of Planning, Aalborg University Copenhagen, Copenhagen, Denmark.
| | - Q G Crowley
- Geology Department, School of Natural Sciences, Trinity College, Dublin 2, Ireland.
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Richardson DB, Rage E, Demers PA, Do MT, Fenske N, Deffner V, Kreuzer M, Samet J, Bertke SJ, Kelly-Reif K, Schubauer-Berigan MK, Tomasek L, Zablotska LB, Wiggins C, Laurier D. Lung Cancer and Radon: Pooled Analysis of Uranium Miners Hired in 1960 or Later. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:57010. [PMID: 35604341 PMCID: PMC9126132 DOI: 10.1289/ehp10669] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 04/28/2022] [Accepted: 05/03/2022] [Indexed: 05/21/2023]
Abstract
BACKGROUND Despite reductions in exposure for workers and the general public, radon remains a leading cause of lung cancer. Prior studies of underground miners depended heavily upon information on deaths among miners employed in the early years of mine operations when exposures were high and tended to be poorly estimated. OBJECTIVES To strengthen the basis for radiation protection, we report on the follow-up of workers employed in the later periods of mine operations for whom we have more accurate exposure information and for whom exposures tended to be accrued at intensities that are more comparable to contemporary settings. METHODS We conducted a pooled analysis of cohort studies of lung cancer mortality among 57,873 male uranium miners in Canada, Czech Republic, France, Germany, and the United States, who were first employed in 1960 or later (thereby excluding miners employed during the periods of highest exposure and focusing on miners who tend to have higher quality assessments of radon progeny exposures). We derived estimates of excess relative rate per 100 working level months (ERR/100 WLM) for mortality from lung cancer. RESULTS The analysis included 1.9 million person-years of observation and 1,217 deaths due to lung cancer. The relative rate of lung cancer increased in a linear fashion with cumulative exposure to radon progeny (ERR/100 WLM = 1.33 ; 95% CI: 0.89, 1.88). The association was modified by attained age, age at exposure, and annual exposure rate; for attained ages < 55 y , the ERR/100 WLM was 8.38 (95% CI: 3.30, 18.99) among miners who were exposed at ≥ 35 years of age and at annual exposure rates of < 0.5 working levels. This association decreased with older attained ages, younger ages at exposure, and higher exposure rates. DISCUSSION Estimates of association between radon progeny exposure and lung cancer mortality among relatively contemporary miners are coherent with estimates used to inform current protection guidelines. https://doi.org/10.1289/EHP10669.
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Affiliation(s)
| | - Estelle Rage
- Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France
| | | | - Minh T. Do
- Occupational Cancer Research Centre, Toronto, Canada
| | - Nora Fenske
- Federal Office for Radiation Protection, Munich (Neuherberg), Germany
| | - Veronika Deffner
- Federal Office for Radiation Protection, Munich (Neuherberg), Germany
| | - Michaela Kreuzer
- Federal Office for Radiation Protection, Munich (Neuherberg), Germany
| | | | - Stephen J. Bertke
- National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Kaitlin Kelly-Reif
- National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
| | - Mary K. Schubauer-Berigan
- National Institute for Occupational Safety and Health, Cincinnati, Ohio, USA
- International Agency for Research on Cancer, Lyon, France
| | | | | | - Charles Wiggins
- University of New Mexico, Albuquerque, New Mexico, USA
- New Mexico Tumor Registry, Albuquerque, New Mexico, USA
| | - Dominique Laurier
- Institute for Radiological Protection and Nuclear Safety, Fontenay-aux-Roses, France
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