Zahergivar Aryan, Golagha Mahshid, Stoddard Greg, Anderson Parker Sage, Woods Lacey, Newman Anna, Carter Malorie R, Wang Libo, Ibrahim Mark, Chamberlin Jordan, Auffermann William F, Kabakus Ismail, Burt Jeremy R
Internal Medicine Department, District of Columbia, George Washington University, District of Columbia, Washington, USA.
Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA.
BMC Med Imaging. 2024 Dec 27;24(1):350. doi: 10.1186/s12880-024-01544-6.
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.
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.
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).
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.
Retrospectively registered.
肺癌是全球癌症相关死亡的主要原因,其中非小细胞肺癌(NSCLC)占病例的85%。由于缺乏早期临床症状,转移常在诊断前发生,影响治疗和预后。心血管疾病(CVD)是肺癌患者常见的合并症,共同的风险因素会使病情恶化。
本研究利用正电子发射断层扫描-计算机断层扫描(PET-CT)进行冠状动脉钙化(CAC)评分,调查NSCLC患者的冠状动脉钙化评分、主要不良心血管事件(MACE)和生存结果之间的关联。对犹他大学(2005 - 2022年)的154例NSCLC患者(平均年龄66.3岁,52%为女性)进行了一项回顾性队列研究。使用基线PET-CT或CT成像来量化CAC评分,分为五个风险级别。Cox比例风险模型和逻辑回归分析评估了CAC评分对生存和心血管事件的影响,并对年龄、性别和吸烟状况等混杂因素进行了调整。
较高的CAC评分与MACE增加、急性心肌梗死(MI)以及较差的总生存率显著相关。严重风险CAC评分组的生存率显著较低(p = 0.022)。逻辑回归显示,较高的CAC评分与MI发生率(中度:OR = 13.8,重度:OR = 21.2)和MACE(重度:OR = 10.2)之间存在密切关联。吸烟史是总生存的显著预测因素(p = 0.006)。
通过PET-CT进行CAC评分可为NSCLC患者提供有价值的预后见解,突出了该人群综合心血管风险管理的必要性。进一步的研究和机器学习等先进技术可增强CAC评分在临床实践中的应用。
回顾性注册。