Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer

Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer

This study aimed to demonstrate clinical feasibility of deep learning (DL)-based fully automated coronary artery calcium (CAC) scoring software using non-electrocardiogram (ECG)-gated chest computed tomography (CT) from patients with cancer. Overall, 913 patients with colorectal or gastric cancer wh...

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Bibliographic Details
Main Authors: Joo Hyeok Choi, Min Jae Cha, Iksung Cho, William D. Kim, Yera Ha, Hyewon Choi, Sun Hwa Lee, Seng Chan You, Jee Suk Chang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
coronary artery calcium score (CACS)
chest CT
artificial intelligence
accuracy
cancer patient
risk stratification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.989250/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.989250/full

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