| Title: |
Radiation Organ Doses Received in a Nationwide Cohort of U.S. Radiologic Technologists: Methods and Findings |
| Authors: |
Simon, Steven L.; Preston, Dale L.; Linet, Martha S.; Miller, Jeremy S.; Sigurdson, Alice J.; Alexander, Bruce H.; Kwon, Deukwoo; Yoder, R. Craig; Bhatti, Parveen; Little, Mark P.; Rajaraman, Preetha; Melo, Dunstana; Drozdovitch, Vladimir; Weinstock, Robert M.; Doody, Michele M. |
| Publication Year: |
2014 |
| Subject Terms: |
Article; envir; demo |
| Description: |
In this article, we describe recent methodological enhancements and findings from the dose reconstruction component of a study of health risks among U.S. radiologic technologists. An earlier version of the dosimetry published in 2006 used physical and statistical models, literature-reported exposure measurements for the years before 1960, and archival personnel monitoring badge data from cohort members through 1984. The data and models previously described were used to estimate annual occupational radiation doses for 90,000 radiological technologists, incorporating information about each individual's employment practices based on a baseline survey conducted in the mid-1980s. The dosimetry methods presented here, while using many of the same methods as before, now estimate 2.23 million annual badge doses (personal dose equivalent) for the years 1916–1997 for 110,374 technologists, but with numerous methodological improvements. Every technologist's annual dose is estimated as a probability density function to reflect uncertainty about the true dose. Multiple realizations of the entire cohort distribution were derived to account for shared uncertainties and possible biases in the input data and assumptions used. Major improvements in the dosimetry methods from the earlier version include: A substantial increase in the number of cohort member annual badge dose measurements; Additional information on individual apron usage obtained from surveys conducted in the mid-1990s and mid-2000s; Refined modeling to develop lognormal annual badge dose probability density functions using censored data regression models; Refinements of cohort-based annual badge probability density functions to reflect individual work patterns and practices reported on questionnaires and to more accurately assess minimum detection limits; and Extensive refinements in organ dose conversion coefficients to account for uncertainties in radiographic machine settings for the radiographic techniques employed. For organ dose estimation, we rely on . |
| Document Type: |
text |
| Language: |
English |
| Relation: |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406479/ |
| Availability: |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406479/ |
| Rights: |
undefined |
| Accession Number: |
edsbas.C46C7F20 |
| Database: |
BASE |