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Published in: Emergency Radiology 3/2022

01-06-2022 | Computed Tomography | Original Article

Automated CT reformations reduce time and variability in trauma panscan exam completion

Authors: HeiShun Yu, Camden P. Bay, Bryan Czajkowski, Aaron D Sodickson

Published in: Emergency Radiology | Issue 3/2022

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Abstract

Purpose

To test the hypothesis that an automated post-processing workflow reduces trauma panscan exam completion times and variability.

Methods

One-hundred-fifty consecutive trauma panscans performed between June 2018 and December 2019 were included, half before and half after implementation of an automated software-driven post-processing workflow. Acquisition and reconstruction timestamps were used to calculate total examination time (first acquisition to last reformation), setup time (between the non-contrast and contrast-enhanced acquisitions), and reconstruction time (for the contrast-enhanced reconstructions and reformations). The performing technologist was recorded and accounted for in analyses using linear mixed models to assess differences between the pre- and post-intervention groups.

Results

Exam, setup, and recon times were (mean ± standard deviation) 33.5 ± 4.6, 9.2 ± 2.4, and 23.6 ± 4.7 min before and 27.8 ± 1.5, 8.9 ± 1.4, and 18.9 ± 1.7 min after intervention. These reductions of 5.7 and 4.7 min in the mean exam and recon times were statistically significant (p < 0.001) while the setup time was not (p = 0.49). The reductions in standard deviation were statistically significant for exam and recon times (p < 0.0001) but not for setup time (p = 0.13). All automated panscans were completed within 36 min, versus 65% with the traditional workflow.

Conclusion

Automation of image reconstruction workflow significantly decreased mean exam and reconstruction times as well as variability between exams, thus facilitating a consistently rapid imaging assessment, and potentially reducing delays in critical management decisions.
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Metadata
Title
Automated CT reformations reduce time and variability in trauma panscan exam completion
Authors
HeiShun Yu
Camden P. Bay
Bryan Czajkowski
Aaron D Sodickson
Publication date
01-06-2022
Publisher
Springer International Publishing
Published in
Emergency Radiology / Issue 3/2022
Print ISSN: 1070-3004
Electronic ISSN: 1438-1435
DOI
https://doi.org/10.1007/s10140-022-02031-7

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