64-MDCT in mass casualty incidents: volume image reading boosts radiological workflow

AJR Am J Roentgenol. 2011 Sep;197(3):W399-404. doi: 10.2214/AJR.10.5716.

Abstract

Objective: The purpose of this study was to evaluate the impact of the use of 64-MDCT and volume image reading on the radiologic workflow during a mass casualty incident simulation.

Materials and methods: For this simulation, casualties were taken to our level I trauma center, and triage was done with whole-body 64-MDCT. The complete raw dataset of thin-section images was sent to a dedicated 3D workstation for further interpretation and simultaneous reformations. This new reading method is called volume image reading. Several time frames were documented to evaluate the workflow: examination time, time needed for image processing, and mean image transfer rates. The results were compared with those of a previous study using a 4-MDCT with axial images only and transfer of data to a PACS.

Results: The time for complete image processing (acquisition, reconstruction, and transfer) for 64-MDCT was 4.1 minutes (range, 3.9-4.3 minutes) compared with 9.0 minutes (range, 6.4-10.2 minutes) for 4-MDCT (p ≤ 0.001). The image processing capacity was 14.8 examinations/h for 64-MDCT compared with 6.7 examinations/h for 4-MDCT. The mean number of images was 953 for 64-MDCT compared with 202 for 4-MDCT (p ≤ 0.001). There were no significant differences between 64- and 4-MDCT for the time needed to prepare patients.

Conclusion: The use of 64-MDCT with volume image reading led to evident advantages in the radiologic trauma workflow compared with 4-MDCT. Reading of the full image set including reformations can be initiated earlier with volume image reading.

MeSH terms

  • Disaster Planning / methods*
  • Humans
  • Imaging, Three-Dimensional
  • Mass Casualty Incidents*
  • Phantoms, Imaging
  • Radiographic Image Interpretation, Computer-Assisted
  • Tomography, X-Ray Computed / methods*
  • Trauma Centers / organization & administration
  • Triage
  • Whole Body Imaging*
  • Workflow
  • Wounds and Injuries / diagnostic imaging*