Effect of whole-body CT during trauma resuscitation on survival: a retrospective, multicentre study

2010 ◽  
Vol 2010 ◽  
pp. 289-291
Author(s):  
D.J. Dries
The Lancet ◽  
2009 ◽  
Vol 373 (9673) ◽  
pp. 1455-1461 ◽  
Author(s):  
Stefan Huber-Wagner ◽  
Rolf Lefering ◽  
Lars-Mikael Qvick ◽  
Markus Körner ◽  
Michael V Kay ◽  
...  

The Lancet ◽  
2009 ◽  
Vol 374 (9685) ◽  
pp. 198 ◽  
Author(s):  
TP Saltzherr ◽  
JC Goslings

The Lancet ◽  
2009 ◽  
Vol 374 (9685) ◽  
pp. 198-199 ◽  
Author(s):  
S Huber-Wagner ◽  
R Lefering ◽  
W Mutschler ◽  
KG Kanz

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e68880 ◽  
Author(s):  
Stefan Huber-Wagner ◽  
Peter Biberthaler ◽  
Sandra Häberle ◽  
Matthias Wierer ◽  
Martin Dobritz ◽  
...  

The Lancet ◽  
2009 ◽  
Vol 374 (9685) ◽  
pp. 197-198 ◽  
Author(s):  
Peter C Strohm ◽  
Oliver Hauschild ◽  
Norbert P Südkamp

Author(s):  
Rakuhei Nakama ◽  
Ryo Yamamoto ◽  
Yoshimitsu Izawa ◽  
Keiichi Tanimura ◽  
Takashi Mato

Abstract Background Unnecessary whole-body computed tomography (CT) may lead to excess radiation exposure. Serum D-dimer levels have been reported to correlate with injury severity. We examined the predictive value of serum D-dimer level for identifying patients with isolated injury that can be diagnosed with selected-region CT rather than whole-body CT. Methods This single-center retrospective cohort study included patients with blunt trauma (2014–2017). We included patients whose serum D-dimer levels were measured before they underwent whole-body CT. “Isolated” injury was defined as injury with Abbreviated Injury Scale (AIS) score ≤ 5 to any of five regions of interest or with AIS score ≤ 1 to other regions, as revealed by a CT scan. A receiver operating characteristic curve (ROC) was drawn for D-dimer levels corresponding to isolated injury; the area under the ROC (AUROC) was evaluated. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for several candidate cut-off values for serum D-dimer levels. Results Isolated injury was detected in 212 patients. AUROC was 0.861 (95% confidence interval [CI]: 0.815–0.907) for isolated injury prediction. Serum D-dimer level ≤ 2.5 μg/mL was an optimal cutoff value for predicting isolated injury with high specificity (100.0%) and positive predictive value (100.0%). Approximately 30% of patients had serum D-dimer levels below this cutoff value. Conclusion D-dimer level ≤ 2.5 μg/mL had high specificity and high positive predictive value in cases of isolated injury, which could be diagnosed with selected-region CT, reducing exposure to radiation associated with whole-body CT.


2021 ◽  
Vol 21 ◽  
pp. S115
Author(s):  
Michael Gundesen ◽  
Jon Thor Asmussen ◽  
Einar Haukås ◽  
Michael Schubert ◽  
Niels Abildgaard ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mitsutaka Nemoto ◽  
Tusufuhan Yeernuer ◽  
Yoshitaka Masutani ◽  
Yukihiro Nomura ◽  
Shouhei Hanaoka ◽  
...  

Objective. To develop automatic visceral fat volume calculation software for computed tomography (CT) volume data and to evaluate its feasibility.Methods. A total of 24 sets of whole-body CT volume data and anthropometric measurements were obtained, with three sets for each of four BMI categories (under 20, 20 to 25, 25 to 30, and over 30) in both sexes. True visceral fat volumes were defined on the basis of manual segmentation of the whole-body CT volume data by an experienced radiologist. Software to automatically calculate visceral fat volumes was developed using a region segmentation technique based on morphological analysis with CT value threshold. Automatically calculated visceral fat volumes were evaluated in terms of the correlation coefficient with the true volumes and the error relative to the true volume.Results. Automatic visceral fat volume calculation results of all 24 data sets were obtained successfully and the average calculation time was 252.7 seconds/case. The correlation coefficients between the true visceral fat volume and the automatically calculated visceral fat volume were over 0.999.Conclusions. The newly developed software is feasible for calculating visceral fat volumes in a reasonable time and was proved to have high accuracy.


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