ArticleBMC medical imaging2024
Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography.
Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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13 authors.
Funding
Abstract
backgroundLung 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.
methodsThis 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.
resultsHigher 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).
conclusionCAC 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 registrationRetrospectively registered.
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