title: Validation of a large-scale audit technique for CT dose optimisation.
abstract: The expansion and increasing availability of computed tomography (CT) imaging means that there is a greater need for the development of efficient optimisation strategies that are able to inform clinical practice, without placing a significant burden on limited departmental resources. One of the most fundamental aspects to any optimisation programme is the collection of patient dose information, which can be compared with appropriate diagnostic reference levels. This study has investigated the implementation of a large-scale audit technique, which utilises data that already exist in the radiology information system, to determine typical doses for a range of examinations on four CT scanners. This method has been validated against what is considered the 'gold standard' technique for patient dose audits, and it has been demonstrated that results equivalent to the 'standard-sized patient' can be inferred from this much larger data set. This is particularly valuable where CT optimisation is concerned as it is considered a 'high dose' technique, and hence close monitoring of patient dose is particularly important.
authors.affiliation: Radiation Physics Department Hull and East Yorkshire Hospitals NHS Trust, Queen's Centre for Oncology and Haematology, Castle Hill Hospital, Cottingham HU16 5JQ, UK. tim.wood@hey.nhs.uk
authors.forename: T J
authors.initials: TJ
authors.lastname: Wood
authors.forename: A W
authors.initials: AW
authors.lastname: Davis
authors.forename: C S
authors.initials: CS
authors.lastname: Moore
authors.forename: A W
authors.initials: AW
authors.lastname: Beavis
authors.forename: J R
authors.initials: JR
authors.lastname: Saunderson
mesh_terms: D016208:Databases, Factual; D005260:Female; D006801:Humans; D008297:Male; D008485:Medical Audit / Q000379:methods*; D011829:Radiation Dosage; D011835:Radiation Protection / Q000379:methods* / Q000706:statistics & numerical data; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*; D006113:United Kingdom / Q000453:epidemiology; D014915:Whole-Body Counting / Q000706:statistics & numerical data*