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...
| Publicado en: | Acta Radiologica Vol. 60; no. 1; pp. 68 - 78 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
Jan2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133509721&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133509721 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02841851 1XG jtl: Acta Radiologica issn: 02841851 maglogo: Y pubinfo: dt: Jan2019 vid: 60 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 133509721 133509721 NLM29665709 10.1177/0284185118770902 NLM29665709 133509721 ppf: 68 ppct: 10 formats: tig: atl: Potential occupational exposures in diagnostic and interventional radiology: statistical modeling based on Finnish national dose registry data. aug: au: Pekkarinen, Antti Kortesniemi, Mika Savolainen, Sauli Siiskonen, Teemu Lehtinen, Maaret affil: HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland sug: subj: Radiation Dosage Data Collection Specialties, Medical Statistics and Numerical Data Models, Statistical Occupational Exposure Health Personnel Statistics and Numerical Data Finland Radiologic Health Personal Resource Questionnaire ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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