Field John K, Raji Olaide Y
Roy Castle Lung Cancer Research Programme, School of Cancer Studies, University of Liverpool Cancer Research Centre 200 London Road, Liverpool, L3 9TA UK.
F1000 Med Rep. 2010 May 24;2:38. doi: 10.3410/M2-38.
Computed tomography screening for early diagnosis of lung cancer is one of the more potentially useful strategies, aside from smoking cessation programmes, for reducing mortality and improving the current poor survival from this disease. The long-term success of lung cancer screening will be dependent upon identifying populations at sufficient risk in order to maximise the benefit-to-harm ratio of the intervention. Risk prediction models could potentially play a major role in the selection of high-risk individuals who would benefit most from screening intervention programmes for the early detection of lung cancer. Improvements of developed lung cancer risk prediction models (through incorporation of objective clinical factors and genetic and molecular biomarkers for precise and accurate estimation of risks), demonstration of their clinical usefulness in decision making, and their use in future screening programmes are the focus of current research.
除戒烟计划外，计算机断层扫描筛查用于肺癌的早期诊断是更具潜在实用价值的策略之一，有助于降低死亡率并改善目前该疾病较差的生存率。肺癌筛查的长期成功将取决于识别出足够高危的人群，以最大化干预措施的利弊比。风险预测模型在选择能从肺癌早期检测筛查干预计划中获益最大的高危个体方面可能发挥重要作用。改进已有的肺癌风险预测模型（通过纳入客观临床因素以及基因和分子生物标志物以精确准确地估计风险）、证明其在决策中的临床实用性以及将其应用于未来的筛查计划是当前研究的重点。
