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AP versus PA positioning in lumbar spine computed radiography : Image quality and individual organ doses

Davey, E; England, A

AP versus PA positioning in lumbar spine computed radiography : Image quality and individual organ doses Thumbnail


Authors

E Davey

A England



Abstract

Purpose: Radiological imaging examinations must be optimised in order to ensure that the radiation dose is kept as low as reasonably possible (ALARP). The aim of this study was to compare anteroposterior (AP) and posteroanterior (PA) projections of the lumbar spine, at various kVp increments, in order to establish optimum parameters.
Methods: An anthropomorphic phantom was imaged in both the AP/PA projections and at various kVp increments. Acquisitions were undertaken using a Wolverson Acroma X-ray unit and processed using an Agfa computed radiography (CR) unit. The entrance surface dose was recorded and converted to effective and organ doses using PCXMC 2.0 software. Five observers were then asked to evaluate the images, using a two-alternative force choice (2AFC) approach and a scale based on EC guidelines.
Results: The PA projection lowered the mean effective dose by 19.8% and also the mean absorbed dose to the stomach (70.4%), colon (61.1%), remainder tissues (33.2%), ovaries (7.3%) and testes (15.9%). However, this was at the expense of slightly inferior image quality, not statistically significant. For AP projections, a higher kVp is a further option for dose reduction.
Conclusion: Dose optimisation requires the production of an image that is acceptable for the purpose intended. Based on ALARP, and when taking into consideration the dose reductions in this study, it may now be time to routinely use PA projections when imaging the lumbar spine. The use of a higher kVp should also be considered as an option but would be more useful for AP projections.

Citation

Davey, E., & England, A. (2015). AP versus PA positioning in lumbar spine computed radiography : Image quality and individual organ doses. Radiography, 21(2), 188 - 196. https://doi.org/10.1016/j.radi.2014.11.003

Journal Article Type Article
Acceptance Date Nov 18, 2014
Online Publication Date Dec 4, 2014
Publication Date May 1, 2015
Deposit Date Jul 7, 2015
Publicly Available Date Jun 1, 2016
Journal Radiography
Print ISSN 1078-8174
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 21
Issue 2
Pages 188 - 196
DOI https://doi.org/10.1016/j.radi.2014.11.003
Keywords Computed radiography
Publisher URL http://dx.doi.org/10.1016/j.radi.2014.11.003
Related Public URLs http://www.sciencedirect.com/science/journal/10788174

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