Estimating historical radiation doses to a cohort of U.S. radiologic technologists
| Autor: | Patricia Stewart, Martha S. Linet, D. Michal Freedman, James W. Neton, H. Amy Feng, R. Craig Yoder, Robert M. Weinstock, Michele M. Doody, Aparna K. Mohan, Michael Hauptmann, John Cardarelli, Thurman Wenzl, André Bouville, Steven L. Simon |
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| Rok vydání: | 2006 |
| Předmět: |
Adult
Male medicine.medical_specialty Neoplasms Radiation-Induced Adolescent Biophysics Radiation Dosage Models Biological Risk Assessment Sensitivity and Specificity Cohort Studies Radiation Monitoring Risk Factors Occupational Exposure Dose estimation medicine Humans Radiology Nuclear Medicine and imaging Medical physics Computer Simulation Technology Radiologic Aged Aged 80 and over Radiation business.industry Radiation dose Reproducibility of Results Middle Aged Calendar period United States Occupational Diseases Organ Specificity Cohort Body Burden Female Work history business Relative Biological Effectiveness |
| Zdroj: | Radiation research. 166(1 Pt 2) |
| ISSN: | 0033-7587 |
| Popis: | Data have been collected and physical and statistical models have been constructed to estimate unknown occupational radiation doses among 90,000 members of the U.S. Radiologic Technologists cohort who responded to a baseline questionnaire during the mid-1980s. Since the availability of radiation dose data differed by calendar period, different models were developed and applied for years worked before 1960, 1960- 1976 and 1977-1984. The dose estimation used available film-badge measurements (approximately 350,000) for individual cohort members, information provided by the technologists on their work history and protection practices, and measurement and other data derived from the literature. The dosimetry model estimates annual and cumulative occupational badge doses (personal dose equivalent) for each technologist for each year worked from 1916 through 1984 as well as absorbed doses to organs and tissues including bone marrow, female breast, thyroid, ovary, testes, lung and skin. Assumptions have been made about critical variables including average energy of X rays, use of protective aprons, position of film badges, and minimum detectable doses. Uncertainty of badge and organ doses was characterized for each year of each technologist's working career. Monte Carlo methods were used to generate estimates of cumulative organ doses for preliminary cancer risk analyses. The models and predictions presented here, while continuing to be modified and improved, represent one of the most comprehensive dose reconstructions undertaken to date for a large cohort of medical radiation workers. |
| Databáze: | OpenAIRE |
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