ArticleScientific reports2025
Associations between cardiac adipose tissue and abdominal visceral fat and muscle based on computed tomography area and density.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Development and validation of a prediction model for adverse outcomes in viral pneumonia using CT-based quantitative body composition analysis.Journal of thoracic disease · 2026Article
- Increased epicardial adipose tissue area and radiodensity in sarcopenic obesity.Cardiovascular diabetology · 2026Article
- Investigating sarcopenia and mucus plugging by chest computed tomography in patients with severe chronic obstructive pulmonary disease.Scientific reports · 2026Article
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13 authors.
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Abstract
Computed Tomography (CT)-derived body composition parameters of cardiac adipose tissue (CAT), as well as abdominal adipose and muscle tissue are surrogates for the patient's clinical condition and have prognostic implications. However, associations between the compositions of these diverse tissue compartments remain poorly investigated. This study aimed to investigate the associations between CT-derived parameters of CAT and abdominal adipose and muscle tissues. Retrospective analysis of CT scans from 842 patients was conducted, with measurements of CAT taken at the aortic valve level and abdominal tissues assessed at the L3/L4 intervertebral disc space. Area and density were calculated for each tissue compartment using single-slice images. Strong positive correlations were found between CAT area and visceral adipose tissue (VAT) area (R = .755, P < .001), as well as moderate correlations between CAT density and VAT density (R = .521, P < .001). Additionally, skeletal muscle (SM) area exhibited modest positive correlations with VAT area (R = .370, P < .001), CAT area (R = .300, P < .001), and SM density (R = .356, P < .001). No significant differences were observed between genders in the correlation strengths of these associations. These findings indicate a systematic pattern of body composition alterations, advocating for the inclusion of comprehensive body composition analysis in future studies and emphasizing the need for a deeper understanding of the underlying systemic processes influencing body composition.
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