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Updated: May 8, 2025
Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging
Aryan Zahergivar1, Mahshid Golagha2, Greg Stoddard3
1Internal Medicine Department, District of Columbia, George Washington University, District of Columbia, Washington, USA.
Background:
Lung cancer is a leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) comprising 85% of cases. Due to the lack of early clinical signs, metastasis often occurs before diagnosis, impacting treatment and prognosis. Cardiovascular disease (CVD) is a common comorbidity in lung cancer patients, with shared risk factors exacerbating outcomes.
Methods:
This study investigates the association between coronary artery calcium (CAC) scores, major adverse cardiovascular events (MACE), and survival outcomes in NSCLC patients, utilizing positron emission tomography-computed tomography (PET-CT) for CAC scoring. A retrospective cohort study of 154 NSCLC patients (mean age 66.3 years, 52% women) at the University of Utah (2005-2022) was conducted. Baseline PET-CT or CT imaging was used to quantify CAC scores, categorized into five risk levels. Cox proportional hazards and logistic regression analyses assessed the impact of CAC scores on survival and cardiovascular events, adjusting for confounders such as age, gender, and smoking status.
Results:
Higher CAC scores were significantly associated with increased MACE, acute myocardial infarction (MI), and poorer overall survival. The severe risk CAC score group had significantly lower survival (p = 0.022). Logistic regression revealed a strong association between higher CAC scores and MI incidence (moderate: OR = 13.8, severe: OR = 21.2) and MACE (severe: OR = 10.2). Smoking history was a significant predictor of overall survival (p = 0.006).
Conclusion:
CAC scoring via PET-CT provides valuable prognostic insights in NSCLC patients, highlighting the need for integrated cardiovascular risk management in this population. Further research and advanced technologies like machine learning could enhance CAC scoring application in clinical practice.
Trial Registration:
Retrospectively registered.
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