Deyle, S; Wagner, A; Benneker, LM; Jeger, V; Eggli, S; Bonel, HM; Zimmermann, H; Exadaktylos, AK (2009). Could full-body digital X-ray (LODOX-Statscan) screening in trauma challenge conventional radiography? Journal of trauma - injury, infection, and critical care, 66(2), pp. 418-22. Baltimore, Md.: Lippincott, Williams, & Wilkins 10.1097/TA.0b013e31818a5d1a
Full text not available from this repository.ATLS Guidelines recommend single plain radiography of the chest and pelvis as part of the primary survey. Such isolated radiographs, usually obtained by bedside machines, can result in limited, low-quality studies that can adversely affect management. A new digital, low-radiation imaging device, the "Lodox Statscan" (LS), provides full-body anterior and lateral views based on enhanced linear slot-scanning technology in just over 5 minutes. We have the first LS in Europe at our facility. The aim of this study was to compare LS with computed tomographic (CT) scanning, as the gold standard, to determine the sensitivity of LS investigation in detecting injuries to the chest, thoracolumbar spine, and pelvis from our own experience, and to compare our findings with those of conventional radiography in the literature.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery 04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > University Emergency Center 04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology |
UniBE Contributor: |
Benneker, Lorin Michael, Jeger, Victor, Eggli, Stefan, Bonel, Harald Marcel, Zimmermann, Heinz (B), Exadaktylos, Aristomenis |
ISSN: |
0022-5282 |
Publisher: |
Lippincott, Williams, & Wilkins |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 15:09 |
Last Modified: |
29 Mar 2023 23:33 |
Publisher DOI: |
10.1097/TA.0b013e31818a5d1a |
PubMed ID: |
19204516 |
Web of Science ID: |
000263442800018 |
URI: |
https://boris.unibe.ch/id/eprint/30374 (FactScience: 193010) |
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