Sex-specific prognostic value of automated epicardial adipose tissue quantification on serial lung cancer screening chest computed tomography

In this large lung cancer screening cohort, serial EAT changes independently predicted CV mortality in women and were more strongly associated with all-cause mortality in women than in men. These findings support routine EAT quantification on chest CT for improved sex-specific cardiovascular risk stratification.

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Publication Details

Journal
European Heart Journal - Cardiovascular Imaging
Published
2025-08-28
DOI
https://doi.org/10.1093/ehjci/jeaf257
Citations
2
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
2.78

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article

Sex-specific prognostic value of automated epicardial adipose tissue quantification on serial lung cancer screening chest computed tomography

Hugo J.W.L. Aerts, Emilia Norton, I. Langenbach, Borek Foldyna et al.
2 citations
European Heart Journal - Cardiovascular Imaging
Cardiovascular Disease and Adiposity
2.78
article

Sex-specific prognostic value of automated epicardial adipose tissue quantification on serial lung cancer screening chest computed tomography

Hugo J.W.L. Aerts, Emilia Norton, I. Langenbach, Borek Foldyna, Marcel C. Langenbach, Matthias Jung, Pamela S. Douglas, Thomas Mayrhofer, Michael T. Lu, Vineet K. Raghu, Jan M. Brendel, Ibrahim Hadžić, Konstantin Nikolaou
article en
2 citations

Abstract

In this large lung cancer screening cohort, serial EAT changes independently predicted CV mortality in women and were more strongly associated with all-cause mortality in women than in men. These findings support routine EAT quantification on chest CT for improved sex-specific cardiovascular risk stratification.

European Heart Journal - Cardiovascular ImagingVol. 26(11)
Brigham and Women's Hospital (US), Harvard University (US), Technische Hochschule Augsburg (DE), Duke University (US), University of Mannheim (DE), University of Augsburg (DE), University of Cologne (DE), Heidelberg University (DE), Cambridge Hospital (US), Maastricht University (NL), Gordon Center for Medical Imaging (US), Massachusetts General Hospital (US), Clinical Research Institute (US), Dana-Farber Cancer Institute (US), University Hospital Cologne (DE), Dana-Farber Brigham Cancer Center (US), Artificial Intelligence in Medicine (Canada) (CA), Mass General Brigham (US), University of Tübingen (DE), Heidelberg University (US)
American Heart Association, AstraZeneca, Nvidia, Kowa Company, Deutsche Forschungsgemeinschaft, National Institutes of Health, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 8%
Cardiovascular Disease and Adiposity
2.78
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