Evidence map›Paper›PMID 37876998›Full record

ArticleEClinicalMedicine2023

Ultra-low-dose CT vs. chest X-ray in non-traumatic emergency department patients - a prospective randomised crossover cohort trial.

Christian Wassipaul, Karin Janata-Schwatczek, Hans Domanovits, Dietmar Tamandl, Helmut Prosch, Martina Scharitzer, Stephan Polanec, Ruediger E Schernthaner, Thomas Mang, Ulrika Asenbaum and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03922516 (Accuracy of Ultra-Low-Dose-CT), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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.

NCT03922516 nacompletednot on this map

Accuracy of Ultra-Low-Dose-CT (ULDCT) of the Chest Compared to Plain Film in an Unfiltered Emergency Department Patient Cohort

TypeinterventionalSponsorMedical University of ViennaRan2019 to 2019Enrolled295ConditionsChest Pain, Cough, Thoracic Diseases, Lung DiseasesArmsULDCT
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  10. Towards ultra-low-dose CT for detecting pulmonary nodules using DenseNet.Physical and engineering sciences in medicine · 2025
    Article
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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

18 authors at 5 institutions in 1 country.

Christian WassipaulDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Karin Janata-SchwatczekDepartment of Emergency Medicine, Medical University of Vienna, Austria.
Hans DomanovitsDepartment of Emergency Medicine, Medical University of Vienna, Austria.
Dietmar TamandlDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Helmut ProschDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Martina ScharitzerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Stephan PolanecDiagnostikum Graz, Austria.
Ruediger E SchernthanerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Thomas MangDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Ulrika AsenbaumDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Paul ApfaltrerDepartment of Radiology, Medical University of Graz, Austria.
Filippo CacioppoDepartment of Emergency Medicine, Medical University of Vienna, Austria.
Nikola SchuetzDepartment of Emergency Medicine, Medical University of Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Peter HomolkaCentre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.
Wolfgang BirkfellnerCentre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.
Christian HeroldDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Helmut RinglDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Medical University of Vienna · ATAustrian Competence Centre of Food Safety · ATDonauspital · ATGeriatrische Gesundheitszentren · ATMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ultra-low-dose CT (ULDCT) examinations of the chest at only twice the radiation dose of a chest X-ray (CXR) now offer a valuable imaging alternative to CXR. This trial prospectively compares ULDCT and CXR for the detection rate of diagnoses and their clinical relevance in a low-prevalence cohort of non-traumatic emergency department patients. Methods: In this prospective crossover cohort trial, 294 non-traumatic emergency department patients with a clinically indicated CXR were included between May 2nd and November 26th of 2019 (www.clinicaltrials.gov: NCT03922516). All participants received both CXR and ULDCT, and were randomized into two arms with inverse reporting order. The detection rate of CXR was calculated from 'arm CXR' (n = 147; CXR first), and of ULDCT from 'arm ULDCT' (n = 147; ULDCT first). Additional information reported by the second exam in each arm was documented. From all available clinical and imaging data, expert radiologists and emergency physicians built a compound reference standard, including radiologically undetectable diagnoses, and assigned each finding to one of five clinical relevance categories for the respective patient. Findings: Detection rates for main diagnoses by CXR and ULDCT (mean effective dose: 0.22 mSv) were 9.1% (CI [5.2, 15.5]; 11/121) and 20.1% (CI [14.2, 27.7]; 27/134; Interpretation: In non-traumatic emergency department patients, ULDCT of the chest offered more than twice the detection rate for main diagnoses compared to CXR. Funding: The Department of Biomedical Imaging and Image-guided Therapy of Medical University of Vienna received funding from Siemens Healthineers (Erlangen, Germany) to employ two research assistants for one year.

Indexed as

Chest X-rayDetection rateNon-traumatic emergency departmentPrimary imaging modalityUltra-low-dose computed tomography

Identifiers

PMID37876998
PMCPMC10590727
OpenAlexW4387721714

What OpenQuestion holds

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Registered trials

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.