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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Mayer, C; Pepe, A; Hossain, S; Karner, B; Arnreiter, M; Kleesiek, J; Schmid, J; Janisch, M; Hannes, D; Fuchsjäger, M; Zimpfer, D; Egger, J; Mächler, H.
Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms.
Sci Data. 2024; 11(1): 596 Doi: 10.1038/s41597-024-03284-2 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Mächler Heinrich
Mayer Christian
Co-Autor*innen der Med Uni Graz
Arnreiter Melanie
Fuchsjäger Michael
Hossain Sophie
Janisch Michael August Johann
Schmid Johannes
Zimpfer Daniel
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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.
Find related publications in this database (using NLM MeSH Indexing)
Humans - administration & dosage
Aortic Dissection - diagnostic imaging
Computed Tomography Angiography - administration & dosage
Algorithms - administration & dosage
Artificial Intelligence - administration & dosage

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