Evidence map›Paper›PMID 38844767›Full record

ArticleScientific data2024

Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms.

Christian Mayer, Antonio Pepe, Sophie Hossain, Barbara Karner, Melanie Arnreiter, Jens Kleesiek, Johannes Schmid, Michael Janisch, Deutschmann Hannes, Michael Fuchsjäger and 3 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

13 authors.

Christian Mayer *Division of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.ORCID 0000-0001-5221-843X
Antonio Pepe *Institute of Computer Graphics and Vision (ICG), Graz University of Technology, Inffeldgasse 16/II, 8010, Graz, Austria.
Sophie HossainDivision of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
Barbara KarnerDivision of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
Melanie ArnreiterDivision of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
Jens KleesiekInstitute for Artificial Intelligence in Medicine (IKIM), AI-guided Therapies (AIT), Essen University Hospital (AöR), Girardetstraße 2, 45131, Essen, Germany.ORCID 0000-0001-8686-0682
Johannes SchmidDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Austria.ORCID 0000-0001-8884-7924
Michael JanischDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Austria.
Deutschmann HannesDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Austria.
Michael FuchsjägerDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036, Graz, Austria.
Daniel ZimpferDivision of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria.
Jan EggerInstitute of Computer Graphics and Vision (ICG), Graz University of Technology, Inffeldgasse 16/II, 8010, Graz, Austria. jan.egger@uk-essen.de.
Heinrich MächlerDivision of Cardiac Surgery, Department of Surgery, Medical University of Graz, Auenbruggerplatz 29, 8036, Graz, Austria. heinrich.maechler@medunigraz.at.

Funding

Austrian Science Fund FWF KLI 1044Technische Universität Graz (Graz University of Technology) LEAD Project on Aortic Dissection
6 · The paper itself

Abstract

Aortic dissections (ADs) are serious conditions of the main artery of the human body, where a tear in the inner layer of the aortic wall leads to the formation of a new blood flow channel, named false lumen. ADs affecting the aorta distally to the left subclavian artery are classified as a Stanford type B aortic dissection (type B AD). This is linked to substantial morbidity and mortality, however, the course of the disease for the individual case is often unpredictable. Computed tomography angiography (CTA) is the gold standard for the diagnosis of type B AD. To advance the tools available for the analysis of CTA scans, we provide a CTA collection of 40 type B AD cases from clinical routine with corresponding expert segmentations of the true and false lumina. Segmented CTA scans might aid clinicians in decision making, especially if it is possible to fully automate the process. Therefore, the data collection is meant to be used to develop, train and test algorithms.

Indexed as

AlgorithmsAortic DissectionComputed Tomography AngiographyArtificial IntelligenceHumans

Identifiers

PMID38844767
PMCPMC11156948

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.