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dc.contributor.authorMoorin, Rachael
dc.contributor.authorGibson, David A.J.
dc.contributor.authorForsyth, R.
dc.contributor.authorFox, R.
dc.date.accessioned2017-01-30T11:32:08Z
dc.date.available2017-01-30T11:32:08Z
dc.date.created2015-12-10T04:26:01Z
dc.date.issued2015
dc.date.submitted2015-12-10
dc.identifier.citationMoorin, R. and Gibson, D. and Forsyth, R. and Fox, R. 2015. The Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting. PLOS ONE. 10 (9): e0138329.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12670
dc.identifier.doi10.1371/journal.pone.0138329
dc.description.abstract

PURPOSE: To evaluate the effect of introduction of iterative reconstruction as a mandated software upgrade on radiation dosimetry in routine clinical practice over a range of computed tomography examinations. METHODS: Random samples of scanning data were extracted from a centralised Picture Archiving Communication System pertaining to 10 commonly performed computed tomography examination types undertaken at two hospitals in Western Australia, before and after the introduction of iterative reconstruction. Changes in the mean dose length product and effective dose were evaluated along with estimations of associated changes to annual cancer incidence. RESULTS: We observed statistically significant reductions in the effective radiation dose for head computed tomography (22-27%) consistent with those reported in the literature. In contrast the reductions observed for non-contrast chest (37-47%); chest pulmonary embolism study (28%), chest/abdominal/pelvic study (16%) and thoracic spine (39%) computed tomography. Statistically significant reductions in radiation dose were not identified in angiographic computed tomography. Dose reductions translated to substantial lowering of the lifetime attributable risk, especially for younger females, and estimated numbers of incident cancers. CONCLUSION: Reduction of CT dose is a priority Iterative reconstruction algorithms have the potential to significantly assist with dose reduction across a range of protocols. However, this reduction in dose is achieved via reductions in image noise. Fully realising the potential dose reduction of iterative reconstruction requires the adjustment of image factors and forgoing the noise reduction potential of the iterative algorithm. Our study has demonstrated a reduction in radiation dose for some scanning protocols, but not to the extent experimental studies had previously shown or in all protocols expected, raising questions about the extent to which iterative reconstruction achieves dose reduction in real world clinical practice.

dc.publisherPUBLIC LIBRARY SCIENCE
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/nhmrc/1008394
dc.titleThe Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting
dc.typeJournal Article
dcterms.dateSubmitted2015-12-10
dcterms.source.volume10
dcterms.source.number9
dcterms.source.issn1932-6203
dcterms.source.titlePLOS ONE
curtin.digitool.pid234777
curtin.note

This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/4.0/

curtin.pubStatusPublished
curtin.refereedTRUE
curtin.departmentDepartment of Health Policy and Management
curtin.identifier.scriptidPUB-SE-DAP-RM-25583
curtin.identifier.elementsidELEMENTS-107533
curtin.accessStatusOpen access


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