British Columbia Cancer Agency, Vancouver, BC, Canada.
University of British Columbia, Vancouver, BC, Canada.
Eur Respir Rev. 2021 Jul 20;30(161). doi: 10.1183/16000617.0288-2020. Print 2021 Sep 30.
Lung cancer screening with low-dose computed tomography can reduce death from lung cancer by 20-24% in high-risk smokers. National lung cancer screening programmes have been implemented in the USA and Korea and are being implemented in Europe, Canada and other countries. Lung cancer screening is a process, not a test. It requires an organised programmatic approach to replicate the lung cancer mortality reduction and safety of pivotal clinical trials. Cost-effectiveness of a screening programme is strongly influenced by screening sensitivity and specificity, age to stop screening, integration of smoking cessation intervention for current smokers, screening uptake, nodule management and treatment costs. Appropriate management of screen-detected lung nodules has significant implications for healthcare resource utilisation and minimising harm from radiation exposure related to imaging studies, invasive procedures and clinically significant distress. This review focuses on selected contemporary issues in the path to implement a cost-effective lung cancer screening at the population level. The future impact of emerging technologies such as deep learning and biomarkers are also discussed.
低剂量计算机断层扫描肺癌筛查可使高危吸烟者因肺癌导致的死亡率降低 20-24%。美国和韩国已实施了全国性肺癌筛查计划,欧洲、加拿大和其他国家也正在实施。肺癌筛查是一个过程,而不是一项测试。它需要有组织的计划性方法来复制关键性临床试验的肺癌死亡率降低和安全性。筛查计划的成本效益受到筛查灵敏度和特异性、停止筛查的年龄、对当前吸烟者进行戒烟干预的整合、筛查参与率、结节管理和治疗成本的强烈影响。对筛查发现的肺结节进行适当的管理对医疗资源的利用和减少与成像研究、有创性程序和明显临床困扰相关的辐射暴露的危害有重要意义。这篇综述重点讨论了在人群中实施具有成本效益的肺癌筛查的一些当代问题。还讨论了深度学习和生物标志物等新兴技术的未来影响。