Cardiac radiomics analyses in times of photon-counting computed tomography for personalized risk stratification in the present and in the future: review = Kardiale Radiomics Analysen in Zeiten von Photon-Counting Computertomographen zur personalisierten Risikostratifizierung in der Gegenwart und in der Zukunft

The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause of death has led to an adaptation of the guidelines with a focus on cardiac computed tomography (CCTA) in patients with a low to intermediate risk of coronary heart disease (CHD). In...

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Hauptverfasser: Ayx, Isabelle (VerfasserIn) , Bauer, Rouven (VerfasserIn) , Schönberg, Stefan (VerfasserIn) , Hertel, Alexander (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: Juli 2025
In: RöFo
Year: 2025, Jahrgang: 197, Heft: 7, Pages: 781-790
ISSN:1438-9010
DOI:10.1055/a-2499-3122
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1055/a-2499-3122
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Verfasserangaben:Authors: Isabelle Ayx, Rouven Bauer, Stefan O. Schönberg, Alexander Hertel

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245 1 0 |a Cardiac radiomics analyses in times of photon-counting computed tomography for personalized risk stratification in the present and in the future  |b review = Kardiale Radiomics Analysen in Zeiten von Photon-Counting Computertomographen zur personalisierten Risikostratifizierung in der Gegenwart und in der Zukunft  |c Authors: Isabelle Ayx, Rouven Bauer, Stefan O. Schönberg, Alexander Hertel 
246 3 1 |a Kardiale Radiomics Analysen in Zeiten von Photon-Counting Computertomographen zur personalisierten Risikostratifizierung in der Gegenwart und in der Zukunft 
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520 |a The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause of death has led to an adaptation of the guidelines with a focus on cardiac computed tomography (CCTA) in patients with a low to intermediate risk of coronary heart disease (CHD). In particular, the introduction of photon-counting computed tomography (PCCT) in CT diagnostics promises significant advances through higher temporal and spatial resolution, and also enables advanced texture analysis, known as radiomics analysis. Originally developed in oncological imaging, radiomics analysis is increasingly being used in cardiac imaging and research. The aim is to generate imaging biomarkers that improve the early detection of cardiovascular diseases and therapy monitoring.The present study summarizes the current developments in cardiac CT texture analysis with a particular focus on evaluations of PCCT data sets in different regions, including the myocardium, coronary plaques, and pericoronary/epicardial fat tissue. These developments could revolutionize the diagnosis and treatment of cardiovascular diseases and significantly improve patient prognoses worldwide. The aim of this review article is to shed light on the current state of radiomics research in cardiovascular imaging and to identify opportunities for establishing it in clinical routine in the future. 
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