Evidence map›Paper›PMID 30267119›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2020

Comparison of thick- and thin-slice images in thoracoabdominal trauma CT: a retrospective analysis.

Leon Guchlerner, Julian Lukas Wichmann, Patricia Tischendorf, Moritz Albrecht, Thomas Josef Vogl, Sebastian Wutzler, Hanns Ackermann, Katrin Eichler, Claudia Frellesen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Leon GuchlernerDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. leon.guchlerner@gmail.com.ORCID http://orcid.org/0000-0002-5521-5928
Julian Lukas WichmannDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Patricia TischendorfDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Moritz AlbrechtDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Thomas Josef VoglDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Sebastian WutzlerDepartment of Trauma, Hand and Reconstructive Surgery, Clinic of the Goethe University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
Hanns AckermannDepartment of Biostatistics and Mathematical Modelling, Clinic of the Goethe University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
Katrin EichlerDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Claudia FrellesenDepartment of Diagnostic and Interventional Radiology, Institut fuer Diagnostische und Interventionelle Radiologie, Clinic of the Goethe University, Haus 23C UG, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Goethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare thick (5 mm) and thin slice images (1.5 mm) of lung, soft tissue, and bone window in thoracoabdominal trauma computed tomography. MATERIALS AND

methods167 Patients that underwent thoracoabdominal trauma CT between November 2014 and December 2015 were included in the study. CT data were reconstructed in a transverse direction with 5 mm and 1.5 mm slice images of lung, soft tissue, and bone window. Two blinded raters (radiologists) evaluated the collected data by detecting predefined injuries in different organ areas. Reconstruction and evaluation times as well as detected injuries were noted and compared.

resultsReconstruction and evaluation times were significantly higher with 1.5 mm thin-slice images, and the effect strength according to Rosenthal displayed a strong effect of 0.61 (< 0.1 small effect, 0.3 middle effect, and > 0.5 strong effect). Average evaluation time differences were 62.7 s (33.9 s-91.5 s) in bone window between 1.5 mm and 3 mm for rater 1 (p < 0.001) and 71.4 s (43.1 s-99.7 s) for rater 2 (p < 0.001). Average time differences between 1.5 mm and 5 mm were 68,7 s (43.9 s-93.5 s) for rater 1 and 75.3 s (44.7 s-105.9 s) for rater 2 in lung window (p < 0.001) and 66.6 s (28.8 s-104.4 s) for rater 1 and 114 s (74.4 s-153.6 s) for rater 2 in soft-tissue window (p < 0.001). There was no significant difference regarding soft-tissue and lung injuries, except non-significant improvement in the detection of bone fractures.

conclusionThin-slice images do not bring any significant benefit in thoracoabdominal trauma CT of soft-tissue and lung injuries, but they can be helpful for the diagnosis of bone fractures and incidental findings.

Indexed as

Abdominal InjuriesAdultAgedBone and BonesClavicleFemaleFractures, BoneHematomaHumansImage Processing, Computer-AssistedLungLung InjuryMaleMiddle AgedPelvic BonesPneumothoraxBoneCT diagnosticSlice thicknessSoft tissueTrauma

Identifiers

PMID30267119
OpenAlexW2893583512

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.