Universität zu Köln

Higashigaito, Kai, Fischer, Gioia, Jungblut, Lisa, Bluthgen, Christian ORCID: 0000-0001-7321-5676, Schwyzer, Moritz, Eberhard, Matthias, dos Santos, Daniel Pinto, Baessler, Bettina, Vuylsteke, Pieter, Soons, Joris A. M. and Frauenfelder, Thomas (2022). Comparison of detection of trauma-related injuries using combined all-in-onefused images and conventionally reconstructed images in acute trauma CT. Eur. Radiol., 32 (6). S. 3903 - 3912. NEW YORK: SPRINGER. ISSN 1432-1084

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Abstract

Objectives To compare the accuracy of lesion detection of trauma-related injuries using combined all-in-one fused (AIO) and conventionally reconstructed images (CR) in acute trauma CT. Methods In this retrospective study, trauma CT of 66 patients (median age 47 years, range 18-96 years; 20 female (30.3%)) were read using AIO and CR. Images were independently reviewed by 4 blinded radiologists (two residents and two consultants) for trauma-related injuries in 22 regions. Sub-analyses were performed to analyze the influence of experience (residents vs. consultants) and body region (chest, abdomen, skeletal structures) on lesion detection. Paired t-test was used to compare the accuracy of lesion detection. The effect size was calculated (Cohen's d). Linear mixed-effects model with patients as the fixed effect and random forest models were used to investigate the effect of experience, reconstruction/image processing, and body region on lesion detection. Results Reading time of residents was significantly faster using AIO (AIO: 266 +/- 72 s, CR: 318 +/- 113 s; p < 0.001; d = 0.46) while no significant difference was observed in the accuracy of lesion detection (AIO: 93.5 +/- 6.0%, CR: 94.6 +/- 6.0% p= 0.092; d= -0.21). Reading time of consultants showed no significant difference (AIO: 283 +/- 82 s, CR: 274 +/- 95 s; p= 0.067; d= 0.16). Accuracy was significantly higher using CR; however, the difference and effect size were very small (AIO 95.1 +/- 4.9%, CR: 97.3 +/- 3.7%, p= 0.002; d= - 0.39). The linear mixed-effects model showed only minor effect of image processing/reconstruction for lesion detection. Conclusions Residents at the emergency department might benefit from faster reading time without sacrificing lesion detection rate using AIO for trauma CT.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Higashigaito, Kai UNSPECIFIED UNSPECIFIED UNSPECIFIED Fischer, Gioia UNSPECIFIED UNSPECIFIED UNSPECIFIED Jungblut, Lisa UNSPECIFIED UNSPECIFIED UNSPECIFIED Bluthgen, Christian UNSPECIFIED orcid.org/0000-0001-7321-5676 UNSPECIFIED Schwyzer, Moritz UNSPECIFIED UNSPECIFIED UNSPECIFIED Eberhard, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED dos Santos, Daniel Pinto UNSPECIFIED UNSPECIFIED UNSPECIFIED Baessler, Bettina UNSPECIFIED UNSPECIFIED UNSPECIFIED Vuylsteke, Pieter UNSPECIFIED UNSPECIFIED UNSPECIFIED Soons, Joris A. M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Frauenfelder, Thomas UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-675481
DOI:	10.1007/s00330-021-08473-w
Journal or Publication Title:	Eur. Radiol.
Volume:	32
Number:	6
Page Range:	S. 3903 - 3912
Date:	2022
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1432-1084
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPUTED-TOMOGRAPHY; WINDOW Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67548