Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.
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ABSTRACT:
SUBMITTER: Chao H
PROVIDER: S-EPMC8137697 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Publications
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.
Chao Hanqing H Shan Hongming H Homayounieh Fatemeh F Singh Ramandeep R Singh Ramandeep R Khera Ruhani Doda RD Guo Hengtao H Su Timothy T Wang Ge G Kalra Mannudeep K MK Yan Pingkun P
Nature communications 20210520 1
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Our deep learning CVD risk prediction model, trained with 30,286 LDCTs from the National Lung Cancer Screening Trial, achieves an area under the curve (AUC) of 0.871 on a separate test set of 2,085 subjects and identifies patients with high CVD mortali ...[more]
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