移动LDCT联合AI社区肺结节筛查检出情况及成本分析OA
Detection Status and Cost Analysis of Community Pulmonary Nodule Screening with Mobile LDCT Combined with AI
背景与目的 肺癌是我国发病率与死亡率最高的恶性肿瘤,低剂量计算机断层扫描(low-dose computed tomography,LDCT)是肺癌早筛的核心手段,但传统固定机构筛查存在基层可及性不足的问题.本研究旨在评估LDCT联合人工智能(artificial intelligence,AI)在武汉城市社区肺结节筛查中的检出特征、影响因素,并开展卫生体系视角下的成本分析,为基层肺结节早期筛查策略优化提供科学依据.方法 采用基于社区人群的观察性研究设计,于2024年8月至2025年5月对武汉市社区3436例居民进行问卷调查与移动LDCT扫描,招募响应率为26.7%.根据肺部CT筛查报告与数据系统(Lung CT Screening Reporting and Data System,Lung-RADS)对肺结节进行分类,采用多因素Logistic回归模型分析临床意义结节(Lung-RADS≥3类)的独立影响因素,通过后退法全变量模型进行敏感性分析,以方差膨胀因子(variance inflation factor,VIF)检验多重共线性;同时遵循CHEERS 2022规范开展描述性成本分析.结果 筛查人群年龄中位数为63岁,男性占比38.7%,≥60岁人群占比67.3%.总肺结节检出率为84.6%,临床意义肺结节检出率为10.4%,高危肺结节检出率为3.2%.多因素Logistic回归显示,60-79岁(OR=2.771,95%CI:1.004-7.646,P=0.049)、≥80岁(OR=6.224,95%CI:1.813-21.369,P=0.004)、重度吸烟(OR=1.919,95%CI:1.352-2.724,P<0.001)、被动吸烟(OR=1.762,95%CI:1.200-2.586,P=0.004)、接触化学有害物质(OR=2.972,95%CI:1.881-4.695,P<0.001)、长期厨房油烟暴露(OR=1.411,95%CI:1.102-1.807,P=0.006)及肺癌家族史(OR=1.866,95%CI:1.173-2.967,P=0.008)是临床意义肺结节的独立危险因素.项目全周期总成本为666,580元,人均筛查成本为194元.全人群策略下检出单例临床意义肺结节与高危肺结节的成本分别为1857与6060元;针对≥60岁人群筛查可覆盖87.3%的高危肺结节,检出单例高危结节成本降至4676元.结论 移动LDCT联合AI辅助筛查可有效识别社区肺结节高危个体,老年及多重暴露风险人群是筛查的重点关注对象.本研究提供了该模式的本土化筛查效能参数与成本数据,可为基层肺结节早期筛查策略优化及后续完整卫生经济学评价提供实践依据.
Background and objective Lung cancer is the malignant tumor with the highest morbidity and mortal-ity in China.Low-dose computed tomography(LDCT)is the core method for early lung cancer screening,but traditional fixed-institution screening has the problem of insufficient accessibility at the grassroots level.This study aims to evaluate the detection characteristics and influencing factors of pulmonary nodules by mobile LDCT combined with artificial intelligence(AI)in urban communities of Wuhan,and conduct a preliminary cost analysis from the health system perspective,so as to provide scientific basis for optimizing early screening strategies for pulmonary nodules at the primary care level.Methods A community-based observational study between August 2024 and May 2025 were conducted.A total of 3436 residents in Wuhan communities com-pleted questionnaire surveys and mobile LDCT scans,with a recruitment response rate of 26.7%.Pulmonary nodules were clas-sified according to the Lung CT Screening Reporting and Data System(Lung-RADS).Multivariate Logistic regression model was used to analyze the independent influencing factors of clinically significant nodules(Lung-RADS category≥3).Sensitivity analysis was performed by stepwise backward full-variable model,and multicollinearity was tested by variance inflation factor(VIF).Meanwhile,a descriptive cost analysis was conducted in accordance with the CHEERS 2022 statement.Results The median age of the screened population was 63 years,with 38.7%male and 67.3%aged≥60 years.The overall detection rate of pulmonary nodules was 84.6%,with clinically significant nodules detected in 10.4%and high-risk nodules in 3.2%.Multivariate Logistic regression analysis showed that age 60-79 years(OR=2.771,95%CI:1.004-7.646,P=0.049),age≥80 years(OR=6.224,95%CI:1.813-21.369,P=0.004),heavy smoking(OR=1.919,95%CI:1.352-2.724,P<0.001),secondhand smoke exposure(OR=1.762,95%CI:1.200-2.586,P=0.004),exposure to harmful chemicals(OR=2.972,95%CI:1.881-4.695,P<0.001),long-term kitchen oil fume exposure(OR=1.411,95%CI:1.102-1.807,P=0.006),and family history of lung cancer(OR=1.866,95%CI:1.173-2.967,P=0.008)were independent risk factors for clinically significant nodules.The total cost of the project was 666,580 CNY,with an average screening cost of 194 CNY per person.Under the whole population strategy,the costs for detecting one clinically significant nodule and one high-risk nodule were 1857 and 6060 CNY,respectively.Screening targeted at individuals aged≥60 years could cover 87.3%of high-risk nodules,with the cost per high-risk nodule detected reduced to 4676 CNY.Conclusion Mobile LDCT combined with AI-assisted screening can effectively identify high-risk individuals of pulmonary nodules in community settings.The elderly and people with multiple exposure risks should be the priority popula-tion for screening.This study provides localized screening efficiency parameters and cost data of this model,which can provide practical basis for the optimization of primary pulmonary nodule early screening strategies and subsequent complete health economic evaluation.
王坚杰;张淏喆;郑志义;李月华;陶军;周美兰;王晓君;吴刚;张正斌;鲁周琴;林清宏;王甜甜
430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院硚口结核病控制科430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院公共卫生科430030 武汉,武汉市肺科医院硚口结核病控制科430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院硚口结核病控制科430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院结核病控制科430030 武汉,武汉市肺科医院公共卫生科430030 武汉,武汉市肺科医院结核病控制科
肺肿瘤移动CT社区筛查危险因素成本效益分析
Lung neoplasmsMobile CTCommunity screeningRisk factorsCost-effectiveness analysis
《中国肺癌杂志》 2026 (6)
412-419,8
本研究受湖北省预防医学会卫生管理创新人才培育行动科研项目(No.2025SWGKY394)资助 This study was supported by the grant from"Innovative Talent Cultivation Program for Health Management"Research Project of the Preventive Medicine Association of Hubei Province(No.2025SWGKY394,to Jianjie WANG).
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