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"All-in-one" window/level whole-body computed tomography scan - A faster way to evaluate trauma cases.

Authors :
Figueiro Longo, Maria Gabriela
Vuylsteke, Pieter
Tan, Can Ozan
Soons, Joris A.M.
Avery, Laura
Succi, Marc D.
Baliyan, Vinit
Pourvaziri, Ali
Xu, Limin
Chonde, Daniel
Lev, Michael
Cant, Jeroen
Gupta, Rajiv
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