Additive value of epicardial adipose tissue quantification to coronary CT angiography-derived plaque characterization and CT fractional flow reserve for the prediction of lesion-specific ischemia: cardiac

Epicardial adipose tissue (EAT) from coronary CT angiography (CCTA) is strongly associated with coronary artery disease (CAD). We investigated the additive value of EAT volume to coronary plaque quantification and CT-derived fractional flow reserve (CT-FFR) to predict lesion-specific ischemia.

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Bibliographische Detailangaben
Hauptverfasser: Brandt, Verena (VerfasserIn) , Decker, Josua (VerfasserIn) , Schoepf, U. Joseph (VerfasserIn) , Varga-Szemes, Akos (VerfasserIn) , Emrich, Tilman (VerfasserIn) , Aquino, Gilberto (VerfasserIn) , Bayer, Richard R. (VerfasserIn) , Carson, Landin (VerfasserIn) , Sullivan, Allison (VerfasserIn) , Ellis, Lauren (VerfasserIn) , Knebel Doeberitz, Philipp L. von (VerfasserIn) , Ebersberger, Ullrich (VerfasserIn) , Bekeredjian, Raffi (VerfasserIn) , Tesche, Christian (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 17 January 2022
In: European radiology
Year: 2022, Jahrgang: 32, Heft: 6, Pages: 4243-4252
ISSN:1432-1084
DOI:10.1007/s00330-021-08481-w
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s00330-021-08481-w
Verlag, lizenzpflichtig, Volltext: https://link.springer.com/article/10.1007/s00330-021-08481-w
Volltext
Verfasserangaben:Verena Brandt, Josua Decker, U. Joseph Schoepf, Akos Varga-Szemes, Tilman Emrich, Gilberto Aquino, Richard R. Bayer, Landin Carson, Allison Sullivan, Lauren Ellis, Philipp L. von Knebel Doeberitz, Ullrich Ebersberger, Raffi Bekeredjian, Christian Tesche
Beschreibung
Zusammenfassung:Epicardial adipose tissue (EAT) from coronary CT angiography (CCTA) is strongly associated with coronary artery disease (CAD). We investigated the additive value of EAT volume to coronary plaque quantification and CT-derived fractional flow reserve (CT-FFR) to predict lesion-specific ischemia.
Beschreibung:Gesehen am 08.01.2024
Beschreibung:Online Resource
ISSN:1432-1084
DOI:10.1007/s00330-021-08481-w