Analysis of epicardial adipose tissue texture in relation to coronary artery calcification in PCCT: the EAT signature!
(1) Background: Epicardial adipose tissue influences cardiac biology in physiological and pathological terms. As it is suspected to be linked to coronary artery calcification, identifying improved methods of diagnostics for these patients is important. The use of radiomics and the new Photon-Countin...
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| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
27 January 2024
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| In: |
Diagnostics
Year: 2024, Jahrgang: 14, Heft: 3, Pages: 1-14 |
| ISSN: | 2075-4418 |
| DOI: | 10.3390/diagnostics14030277 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/diagnostics14030277 Verlag, kostenfrei, Volltext: https://www.mdpi.com/2075-4418/14/3/277 
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| Verfasserangaben: | Peter Mundt, Alexander Hertel, Hishan Tharmaseelan, Dominik Nörenberg, Theano Papavassiliu, Stefan O. Schoenberg, Matthias F. Froelich and Isabelle Ayx |
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| 520 | |a (1) Background: Epicardial adipose tissue influences cardiac biology in physiological and pathological terms. As it is suspected to be linked to coronary artery calcification, identifying improved methods of diagnostics for these patients is important. The use of radiomics and the new Photon-Counting computed tomography (PCCT) may offer a feasible step toward improved diagnostics in these patients. (2) Methods: In this retrospective single-centre study epicardial adipose tissue was segmented manually on axial unenhanced images. Patients were divided into three groups, depending on the severity of coronary artery calcification. Features were extracted using pyradiomics. Mean and standard deviation were calculated with the Pearson correlation coefficient for feature correlation. Random Forest classification was applied for feature selection and ANOVA was performed for group comparison. (3) Results: A total of 53 patients (32 male, 21 female, mean age 57, range from 21 to 80 years) were enrolled in this study and scanned on the novel PCCT. “Original_glrlm_LongRunEmphasis”, “original_glrlm_RunVariance”, “original_glszm_HighGrayLevelZoneEmphasis”, and “original_glszm_SizeZoneNonUniformity” were found to show significant differences between patients with coronary artery calcification (Agatston score 1-99/≥100) and those without. (4) Conclusions: Four texture features of epicardial adipose tissue are associated with coronary artery calcification and may reflect inflammatory reactions of epicardial adipose tissue, offering a potential imaging biomarker for atherosclerosis detection. | ||
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| 650 | 4 | |a epicardial adipose tissue | |
| 650 | 4 | |a photon-counting computed tomography | |
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| 650 | 4 | |a texture analysis | |
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