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...
| الحاوية / القاعدة: | Diagnostics |
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| المؤلفون الرئيسيون: | , , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2024-01-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2075-4418/14/3/277 |
| _version_ | 1850006426778337280 |
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| author | Peter Mundt Alexander Hertel Hishan Tharmaseelan Dominik Nörenberg Theano Papavassiliu Stefan O. Schoenberg Matthias F. Froelich Isabelle Ayx |
| author_facet | Peter Mundt Alexander Hertel Hishan Tharmaseelan Dominik Nörenberg Theano Papavassiliu Stefan O. Schoenberg Matthias F. Froelich Isabelle Ayx |
| author_sort | Peter Mundt |
| collection | DOAJ |
| container_title | Diagnostics |
| description | (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. |
| format | Article |
| id | doaj-art-427bd856487d4ac28ce770cf0a5b1965 |
| institution | Directory of Open Access Journals |
| issn | 2075-4418 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-427bd856487d4ac28ce770cf0a5b19652025-08-20T00:46:42ZengMDPI AGDiagnostics2075-44182024-01-0114327710.3390/diagnostics14030277Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature!Peter Mundt0Alexander Hertel1Hishan Tharmaseelan2Dominik Nörenberg3Theano Papavassiliu4Stefan O. Schoenberg5Matthias F. Froelich6Isabelle Ayx7Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyFirst Department of Internal Medicine-Cardiology, University Medical Centre Mannheim, and DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, GermanyDepartment of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, 68167 Mannheim, Germany(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.https://www.mdpi.com/2075-4418/14/3/277radiomicstexture analysisphoton-counting computed tomographyepicardial adipose tissuecoronary artery calcium score |
| spellingShingle | Peter Mundt Alexander Hertel Hishan Tharmaseelan Dominik Nörenberg Theano Papavassiliu Stefan O. Schoenberg Matthias F. Froelich Isabelle Ayx Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! radiomics texture analysis photon-counting computed tomography epicardial adipose tissue coronary artery calcium score |
| title | Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! |
| title_full | Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! |
| title_fullStr | Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! |
| title_full_unstemmed | Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! |
| title_short | Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature! |
| title_sort | analysis of epicardial adipose tissue texture in relation to coronary artery calcification in pcct the eat signature |
| topic | radiomics texture analysis photon-counting computed tomography epicardial adipose tissue coronary artery calcium score |
| url | https://www.mdpi.com/2075-4418/14/3/277 |
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