Potential occupational exposures in diagnostic and interventional radiology: statistical modeling based on Finnish national dose registry data.

Background: Radiation worker categorization and exposure monitoring practices must be proportional to the current working environment.Purpose: To analyze exposure data of Finnish radiological workers and to estimate the magnitude and frequency of their potential occupational radiation exposure, and...

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Detalles Bibliográficos
Publicado en:Acta Radiologica Vol. 60; no. 1; pp. 68 - 78
Autores principales: Pekkarinen, Antti, Kortesniemi, Mika, Savolainen, Sauli, Siiskonen, Teemu, Lehtinen, Maaret
Formato: Journal Article
Publicado: Sage Publications Inc. Jan2019
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Background: Radiation worker categorization and exposure monitoring practices must be proportional to the current working environment.Purpose: To analyze exposure data of Finnish radiological workers and to estimate the magnitude and frequency of their potential occupational radiation exposure, and to propose appropriate radiation worker categorization.Material and Methods: Estimates of the probabilities of annual effective doses exceeding certain levels were obtained by calculating the survival function of a lognormal probability density function (PDF) fitted in the measured occupational exposure data.Results: The estimated probabilities of exceeding annual effective dose limits of 1 mSv, 6 mSv, and 20 mSv were in the order of 1:200, 1:10,000, and 1:500,000 per person, respectively.Conclusion: It is very unlikely that the Category B annual effective dose limit of 6 mSv could even potentially be exceeded using modern equipment and appropriate working methods. Therefore, in terms of estimated effective dose, workers in diagnostic and interventional radiology could be placed into Category B in Finland. Current national personal monitoring practice could be replaced or supplemented using active personal dosimeters, which offer more effective means for optimizing working methods.