Reproducibility of artificial intelligence–enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography-Reference-Cited by-同舟云学术

Reproducibility of artificial intelligence–enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography

Published:2024-03-11 Issue:9 Volume:34 Page:5705-5712
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Flores Tomasino Guadalupe,Han Donghee,Pimentel Raymond,Paz William,Liang Juni,Cheng Victor Y,Slomka Piotr,Berman Daniel S.,Dey Damini^ORCID

Funder

NHLBI Division of Intramural Research

Dr. Miriam and Sheldon G. Adelson Medical Research Foundation

Winnick Family Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00330-024-10688-6.pdf

Reference18 articles.

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3. Lee S-E, Chang H-J, Sung JM et al (2018) Effects of statins on coronary atherosclerotic plaques: The PARADIGM Study. JACC: Cardiovascular Imaging. https://doi.org/10.1016/j.jcmg.2018.04.015

4. Hell MM, Motwani M, Otaki Y et al (2017) Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up. Eur Heart J - Cardiovas Imaging. https://doi.org/10.1093/ehjci/jex183

5. Lin A, Manral N, McElhinney P et al (2022) Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digital Health. https://doi.org/10.1016/S2589-7500(22)00022-X