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Capture and analysis of radiation dose reports for radiology

  • S. M. MidgleyEmail author
Technical Paper

Abstract

Radiographic imaging systems can produce records of exposure and dose parameters for each patient. A variety of file formats are in use including plain text, bit map images showing pictures of written text and radiation dose structured reports as text or extended markup language files. Whilst some of this information is available with image data on the hospital picture archive and communication system, access is restricted to individual patient records, thereby making it difficult to locate multiple records for the same scan protocol. This study considers the exposure records and dose reports from four modalities. Exposure records for mammography and general radiography are utilized for repeat analysis. Dose reports for fluoroscopy and computed tomography (CT) are utilized to study the distribution of patient doses for each protocol. Results for dosimetric quantities measured by General Radiography, Fluoroscopy and CT equipment are summarised and presented in the Appendix. Projection imaging uses the dose (in air) area product and derived quantities including the dose to the reference point as a measure of the air kerma reaching the skin, ignoring movement of the beam for fluoroscopy. CT uses the dose indices CTDIvol and dose length product as a measure of the dose per axial slice, and to the scanned volume. Suitable conversion factors are identified and used to estimate the effective dose to an average size patient (for CT and fluoroscopy) and the entrance skin dose for fluoroscopy.

Keywords

Radiology exposure records Radiology dose reports  Reject analysis Fluoroscopy entrance skin dose CT dose indices Radiology effective dose Diagnostic reference levels 

Notes

Acknowledgments

The authors thank Andy Le and Irene Ngui of the RMH RIS/PACS team for their invaluable assistance in trouble shooting IT systems and developing work-arounds. The equipment vendors assisted by identifying the dose reporting capabilities of their systems, in providing technical support to enable these features and their integration with the local network. We value to assistance in these matters provided by Chris Hodges (Fuji film), Jeff Solamano and Peter Caffyn (Philips Health care), Mishelle Korleat and Colin Johnstone (Siemens Health care) and Rodney Lee (Toshiba Australia Medical Systems). We thank Ann Seal (RMH radiology) for sharing QA results for mammography workload and reject rates, and Paul Einsiedel for useful discussions about dosimetry across all modalities.

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Copyright information

© Australasian College of Physical Scientists and Engineers in Medicine 2014

Authors and Affiliations

  1. 1.Department of RadiologyRoyal Melbourne HospitalParkvilleAustralia

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