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Verfasst von:Prinz, Sebastian [VerfasserIn]   i
 Murray, Jacob [VerfasserIn]   i
 Nattenmüller, Johanna [VerfasserIn]   i
 Pomykala, Kelsey L. [VerfasserIn]   i
 Schlemmer, Heinz-Peter [VerfasserIn]   i
 Badde, Stephanie [VerfasserIn]   i
 Kleesiek, Jens Philipp [VerfasserIn]   i
Titel:Novel measures for the diagnosis of hepatic steatosis using contrast-enhanced computer tomography images
Mitwirkende:Strack, Friedrich   i
Verf.angabe:Sebastian Prinz, Jacob M. Murray, Christian Strack, Johanna Nattenmüller, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Stephanie Badde, Jens Kleesiek
E-Jahr:2023
Jahr:March 2023
Umfang:9 S.
Fussnoten:Gesehen am 24.04.2023
Titel Quelle:Enthalten in: European journal of radiology
Ort Quelle:Amsterdam [u.a.] : Elsevier Science, 1990
Jahr Quelle:2023
Band/Heft Quelle:160(2023), Artikel-ID 110708, Seite 1-9
ISSN Quelle:1872-7727
Abstract:Purpose - Hepatic steatosis is often diagnosed non-invasively. Various measures and accompanying diagnostic thresholds based on contrast-enhanced CT and virtual non-contrast images have been proposed. We compare these established criteria to novel and fully automated measures. - Method - CT data sets of 197 patients were analyzed. Regions of interest (ROIs) were manually drawn for the liver, spleen, portal vein, and aorta to calculate four established measures of liver-fat. Two novel measures capturing the deviation between the empirical distributions of HU measurements across all voxels within the liver and spleen were calculated. These measures were calculated with both manual ROIs and using fully automated organ segmentations. Agreement between the different measures was evaluated using correlational analysis, as well as their ability to discriminate between fatty and healthy liver. - Results - Established and novel measures of fatty liver were at a high level of agreement. Novel methods were statistically indistinguishable from the established ones when taking established diagnostic thresholds or physicians' diagnoses as ground truth and this high performance level persisted for automatically selected ROIs. - Conclusion - Automatically generated organ segmentations led to comparable results as manual ROIs, suggesting that the implementation of automated methods can prove to be a valuable tool for incidental diagnosis. Differences in the distribution of HU measurements across voxels between liver and spleen can serve as surrogate markers for the liver-fat-content. Novel measures do not exhibit a measurable disadvantage over established methods based on simpler measures such as across-voxel averages in a population with low incidence of fatty liver.
DOI:doi:10.1016/j.ejrad.2023.110708
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1016/j.ejrad.2023.110708
 Volltext: https://www.sciencedirect.com/science/article/pii/S0720048X23000220
 DOI: https://doi.org/10.1016/j.ejrad.2023.110708
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Automated segmentation
 Computed tomography
 Hepatic steatosis
K10plus-PPN:1843403277
Verknüpfungen:→ Zeitschrift

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