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"All-in-one" window/level whole-body computed tomography scan - A faster way to evaluate trauma cases.
- Source :
- American Journal of Emergency Medicine; Dec2022, Vol. 62, p62-68, 7p
- Publication Year :
- 2022
-
Abstract
- <bold>Purpose: </bold>To investigate the accuracy and total assessment time (TAT) of the "All-in-one" (AIO)-window/level setting for whole-body computed tomography (CT) image compared to multiple tissue-specific window/level settings conventionally used for detection of traumatic injuries.<bold>Method: </bold>Contrast-enhanced chest, abdomen, and pelvic CT scans of 50 patients who presented to our emergency department (ED) for major trauma were retrospectively selected. In a simulation of a "wet read" performed at the CT scanner console, 6 readers with different levels of experience had up to 3 min to describe any traumatic finding identified on the CTs. The readers reviewed each patient in two different sessions separated by a washout period to suppress any recall bias from one session to the next. Each scan was reviewed once using the AIO-window/level setting and another time using the conventional bone, lung, and soft tissue window/level display settings, in a randomized order. The CT reports were used as reference standard.<bold>Results: </bold>Overall, there was no statistically significant difference in the assessment accuracy of the review based on the AIO or the conventional window/level settings (0.89 ± 0.09 vs 0.90 ± 0.08). Using the AIO-window/level settings, TAT was 14.3 s faster when compared with the conventional window/level settings (2.33 ± 0.63 vs 2.57 ± 0.51 min; p < 0.001).<bold>Conclusions: </bold>In a time-delimited image review, similar diagnostic accuracy was reached faster using the AIO vs the conventional window/level settings. When providing a "wet read" at the CT console, the ability to identify traumatic injury using a single AIO-window/level may help expedite patient management. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07356757
- Volume :
- 62
- Database :
- Supplemental Index
- Journal :
- American Journal of Emergency Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 160399597
- Full Text :
- https://doi.org/10.1016/j.ajem.2022.09.047