肺癌
医学
置信区间
考试(生物学)
内科学
肿瘤科
人口
癌症
肺癌筛查
血液检验
环境卫生
生物
古生物学
作者
Francesca Montani,Matteo Jacopo Marzi,Fabio Dezi,Elisa Dama,Rose Mary Carletti,Giuseppina Bonizzi,Raffaella Bertolotti,Massimo Bellomi,Cristiano Rampinelli,Patrick Maisonneuve,Lorenzo Spaggiari,Giulia Veronesi,Francesco Nicassio,Pier Paolo Di Fiore,Fabrizio Bianchi
摘要
Lung cancer is the leading cause of cancer death worldwide. Low-dose computed tomography screening (LDCT) was recently shown to anticipate the time of diagnosis, thus reducing lung cancer mortality. However, concerns persist about the feasibility and costs of large-scale LDCT programs. Such concerns may be addressed by clearly defining the target "high-risk" population that needs to be screened by LDCT. We recently identified a serum microRNA signature (the miR-Test) that could identify the optimal target population. Here, we performed a large-scale validation study of the miR-Test in high-risk individuals (n = 1115) enrolled in the Continuous Observation of Smoking Subjects (COSMOS) lung cancer screening program. The overall accuracy, sensitivity, and specificity of the miR-Test are 74.9% (95% confidence interval [CI] = 72.2% to 77.6%), 77.8% (95% CI = 64.2% to 91.4%), and 74.8% (95% CI = 72.1% to 77.5%), respectively; the area under the curve is 0.85 (95% CI = 0.78 to 0.92). These results argue that the miR-Test might represent a useful tool for lung cancer screening in high-risk individuals.
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