[Radiation exposure of children in pediatric radiology].

  • Seidenbusch M
  • Schneider K
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Abstract

PURPOSE: Analysis of all relevant data of X-ray examinations performed in a university children's hospital and stored electronically in a database since 1976., MATERIALS AND METHOD: After 30 years of data gathering, the database now covers 276 739 radiological examinations (radiographs & fluoroscopies) of all age groups from newborns to adolescents. This database now encompasses basic personal patient data, type of the radiological procedure, individual radiographic/fluoroscopic settings, dose measurements (dose area product), individual referral criteria and radiological diagnosis. The preparation and analysis of this database was made with a set of self-written algorithms (PC program: PADOS [Programm zur PAdiatrischen DOSimetrie = Program for PEdiatric DOSimetry])., RESULTS: The frequency of childhood X-rays and fluoroscopic examinations per patient has substantially changed over the last 30 years. We could show that the indication for X-ray diagnostics for newborns and infants was higher than for the other childhood age groups. In addition, the number of patients who had a high number of X-ray examinations clearly declined in the last years and the time for standard fluoroscopic examinations was considerably reduced., CONCLUSIONS: A comprehensive database as described is a prerequisite for quality assurance in X-ray diagnostics as well as for the calculation of cumulative radiation dose and follow-up epidemiological studies.

Author-supplied keywords

  • *Fluoroscopy
  • *Radiography
  • *Radiometry/mt [Methods]
  • Adolescent
  • Adult
  • Algorithms
  • Body Burden
  • Child
  • Child, Preschool
  • Computer Graphics
  • Female
  • Fluoroscopy/ut [Utilization]
  • Germany
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Radiation Injuries/pc [Prevention & Control]
  • Radiography/ut [Utilization]
  • Radiology Information Systems
  • Relative Biological Effectiveness
  • Software
  • Utilization Review/sn [Statistics & Numerical Data

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Authors

  • M C Seidenbusch

  • K Schneider

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