We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Early Postmortem CT of Trauma Patients Useful for Support-Line Placement Training

By MedImaging International staff writers
Posted on 13 Jan 2015
The Trauma unit and Diagnostic Imaging department of the Sheba Medical Center (Ramat-Gan, Israel), and the Sackler Faculty of Medicine at the University of Tel Aviv (TAU; Tel Aviv, Israel) have studied the effectiveness of support-line placement in cases of severe poly-trauma.

Postmortem CT examinations were performed at the Sheba Medical Center within 1 hour of death (on average 22 minutes after declaration of death) for 25 patients that had suffered from poly-trauma, and had undergone pre-hospital resuscitation. The study was carried out between the years 2008 and 2013, and studied the placement of Central Venous Catheters (CVC), Endotracheal Tubes (ETT), Nasogastric Tubes (NGT), and chest drains.

The results of the study show that 14 patients (56%) had support-lines that were suboptimal or misplaced. Problems included many misplaced chest drains (10 of 13 patients), a folded NGT in the pharynx, a femoral CVC in the soft tissue of the pelvis, and ETTs in the right main bronchus.

The results can provide useful training feedback for trauma teams and radiologists allowing them to improve future support-line treatments in trauma interventions.

Related Links:

Sheba Medical Center, Diagnostic Imaging Department
Sheba Medical Center, Trauma Unit
Sackler Faculty of Medicine, Tel Aviv University



Diagnostic Ultrasound System
DC-80A
Computed Tomography System
Aquilion ONE / INSIGHT Edition
Multi-Use Ultrasound Table
Clinton
Portable X-ray Unit
AJEX140H

Latest Radiography News

AI Boosts Breast Cancer Detection and Cuts Screening Workload
13 Jan 2015  |   Radiography

AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
13 Jan 2015  |   Radiography

Routine Mammograms Could Predict Future Cardiovascular Disease in Women
13 Jan 2015  |   Radiography