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CT optimisation for the busy imaging department

Dr Elly Castellano

  • Date: Thursday 11th April 2019 from 6.30-7.30 pm (Coffee & Registration from 6.00 pm
  • Venue: LT2 Stopford Building, University of Manchester, Oxford Road, Manchester, M13 9PL
  • Members from £0.00
  • Non Members £5-12
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Building No 79 on University campus guide.

6.00 pm
Coffee and registration

6.30 pm
Dr Elly Castellano, Consultant Clinical Scientist, Royal Marsden NHS FT

Synopsis:-

A research paper published in the British Medical Journal in January 2019 concluded that the observed variations in radiation dose from CT were primarily attributable to local CT scan protocols, rather than differences in patient cohorts or CT scanner characteristics. Therefore, in order to ensure patient safety, CT optimisation must address those aspects of radiological practice that affect patient dose, not just focus on radiation protection measures. However, the modern imaging department is required to scan more patients, typically using complex scan protocols which generate several image sets, so the time available for activities which are not scan-specific is increasingly being squeezed.

In this presentation we will consider strategies for running a CT optimisation programme which can fit into the work schedule of a busy imaging department. Such a programme is underpinned by multidisciplinary team working, collective ownership of radiological practice, clinical audits and real-time radiation dose surveys. We will illustrate how different optimisation strategies can work in practice by considering several clinical examples: CT urograms, CT angiography of the deep inferior epigastric perforators, coronary CT angiography and 3mm CT imaging for oncological assessment.

Learning objectives:-

  1. Identify those aspects of the CT service which are most likely to require optimisation.
  2. Appreciate how an optimisation programme can be embedded in the routine work of a CT service.
  3. Identify optimisation strategies that can be implemented in the busy imaging department.

7.30 pm
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