CT radiomic features reproducibility of virtual non-contrast series derived from photon-counting CCTA datasets using a novel calcium-preserving reconstruction algorithm compared with standard non-contrast series: focusing on epicardial adipose tissue
Author:
Funder
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10554-024-03096-w.pdf
Reference46 articles.
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3. Yang M, Cao Q, Xu Z et al (2022) Development and validation of a machine learning-based Radiomics Model on Cardiac Computed Tomography of Epicardial Adipose tissue in Predicting characteristics and recurrence of Atrial Fibrillation. Front Cardiovasc Med 9:813085. https://doi.org/10.3389/fcvm.2022.813085
4. Hatem SN, Sanders P (2014) Epicardial adipose tissue and atrial fibrillation. Cardiovasc Res 102:205–213. https://doi.org/10.1093/cvr/cvu045
5. Lin A, Kolossváry M, Yuvaraj J et al (2020) Myocardial infarction associates with a distinct Pericoronary adipose tissue Radiomic phenotype: a prospective case-control study. JACC Cardiovasc Imaging 13:2371–2383. https://doi.org/10.1016/j.jcmg.2020.06.033
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