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Association Between Automated Coronary Artery Calcium From Routine Chest Computed Tomography Scans and Cardiovascular Risk in Patients With Colorectal or Gastric Cancer

Authors
 Subin Kim  ;  Seonji Kim  ;  Min Jae Cha  ;  Hyo Song Kim  ;  Han Sang Kim  ;  Woo Jin Hyung  ;  Iksung Cho  ;  Seng Chan You 
Citation
 CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, Vol.18(7) : e011656, 2025-07 
Journal Title
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES
ISSN
 1941-7713 
Issue Date
2025-07
MeSH
Aged ; Automation ; Colorectal Neoplasms* / diagnosis ; Colorectal Neoplasms* / epidemiology ; Colorectal Neoplasms* / mortality ; Computed Tomography Angiography* ; Coronary Angiography* ; Coronary Artery Disease* / diagnostic imaging ; Coronary Artery Disease* / epidemiology ; Coronary Artery Disease* / mortality ; Deep Learning ; Female ; Heart Disease Risk Factors ; Humans ; Male ; Middle Aged ; Predictive Value of Tests ; Prognosis ; Republic of Korea / epidemiology ; Retrospective Studies ; Risk Assessment ; Stomach Neoplasms* / diagnosis ; Stomach Neoplasms* / mortality ; Time Factors ; Tomography, X-Ray Computed* ; Vascular Calcification* / diagnostic imaging ; Vascular Calcification* / mortality
Keywords
atherosclerosis ; coronary vessels ; deep learning ; incidence ; stroke
Abstract
Background: As cardiovascular disease (CVD) is the leading cause of noncancer mortality in colorectal or gastric cancer patients, it is essential to identify patients at increased CVD risk. Coronary artery calcium (CAC) is an established predictor of atherosclerotic CVD; however, its application is limited in this population. This study evaluates the association between automated CAC scoring using chest computed tomography and atherosclerotic CVD risk in colorectal or gastric cancer patients.

Methods: A retrospective cohort study was conducted using electronic health records linked to claims data of colorectal or gastric cancer patients who underwent non-ECG-gated chest computed tomography at 2 tertiary hospitals in South Korea between 2011 and 2019. CAC was automatically quantified using deep learning software and used to classify patients into 4 groups (CAC=0, 0400). The primary outcome was major adverse cardiovascular events (myocardial infarction, stroke, or cardiovascular mortality), and assessed using the multivariable Fine and Gray subdistribution hazard model. A meta-analysis was performed to calculate pooled subdistribution hazard ratios.

Results: A total of 3153 patients were included in this study (36.5% women; 36.3% CAC=0; 38.1% 0400). The mean follow-up period was 4.1 years. The incidence rate of MACE was 5.28, 8.03, 9.99, and 29.14 per 1000 person-years in CAC=0, 0400. Compared with CAC=0, the risk of MACE was not significantly different in patients with 0400 had 2.33 (95% CI, 1.24-4.39) times higher risk of MACE compared with those with CAC=0.

Conclusions: CAC>400 was associated with an increased risk of MACE compared with CAC=0 among colorectal or gastric cancer patients. CAC quantified on routine chest computed tomography scans provides prognostic information for atherosclerotic CVD risk in this population.
Full Text
https://www.ahajournals.org/doi/10.1161/CIRCOUTCOMES.124.011656
DOI
10.1161/circoutcomes.124.011656
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Seonji(김선지)
Kim, Han Sang(김한상) ORCID logo https://orcid.org/0000-0002-6504-9927
Kim, Hyo Song(김효송) ORCID logo https://orcid.org/0000-0002-0625-9828
You, Seng Chan(유승찬) ORCID logo https://orcid.org/0000-0002-5052-6399
Cho, Ik Sung(조익성)
Hyung, Woo Jin(형우진) ORCID logo https://orcid.org/0000-0002-8593-9214
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/207058
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