Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study.
Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study.
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DOI：
10.1148/radiol.2017161458
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发表时间：
2018-01
期刊：
影响因子：
19.7
通讯作者：
Schabath MB
中科院分区：
文献类型：
--
作者：
Liu Y;Wang H;Li Q;McGettigan MJ;Balagurunathan Y;Garcia AL;Thompson ZJ;Heine JJ;Ye Z;Gillies RJ;Schabath MB
利用国家肺部筛查试验 (NLST) 的数据和图像，我们从不符合被视为阳性筛查的原始标准的小肺结节 (SPN) 中提取了放射学特征，并确定了与肺癌风险相关的特征。我们从基线低剂量计算机断层扫描筛查的 SPN 中提取了放射学特征，这些筛查不符合 NLST 标准，被视为阳性筛查。确定了 73 名在第一次或第二次随访筛查中被诊断患有肺癌的发病病例患者以及 157 名连续 3 次阴性筛查的对照受试者的 SPN。使用多变量逻辑回归来评估放射学特征与肺癌风险之间的关联。所有统计检验都是双面的。病例患者和对照受试者之间有九个特征存在显着差异。后向消除和引导重采样确定了一个信息丰富的放射学特征的简化模型，其 ROC 曲线下值为 0.932 (95% C] 0.88–0.96)，特异性为 92.38% (95% CI 52.22–84.91)，敏感性为 76.55% (95% CI 87.50–95.35)，其中包括肺气肿总评分（OR=1.71；95% CI 1.39–2.01）、血管附着情况（OR=2.41；95% CI 0.99–5.81）、结节位置（OR=3.25；95% CI 1.09–8.55）、边界清晰度（OR=7.56；95% CI 1.89–30.8），以及凹度（OR=2.58；95% CI 0.89–5.64）。我们确定了一组临床相关的放射学特征，这些特征可以在临床环境中轻松评分，并可用于确定出现 SPN 的参与者患肺癌的风险。
Using data and images from the National Lung Screening Trial (NLST), we extracted radiological features from small pulmonary nodules (SPNs) that did not meet the original criteria to be considered a positive screen and identified features associated with lung cancer risk. We extracted radiological features from SPNs of baseline low-dose computed tomography screens that did not meet NLST criteria to be considered a positive screen. SPNs were identified for 73 incidence case patients that were diagnosed with lung cancer at either the first or second follow-up screen and for 157 control subjects who had had three consecutive negative screens. Multivariable logistic regression was used to assess the association between radiological features and lung cancer risk. All statistical tests were two-sided. Nine features were significantly different between case patients and control subjects. Backward-elimination followed by bootstrap re-sampling identified a reduced model of highly informative radiological features with an under the ROC curve of 0.932 (95% C] 0.88–0.96), specificity of 92.38% (95% CI 52.22–84.91), and sensitivity of 76.55% (95% CI 87.50–95.35) that included total emphysema score (OR=1.71; 95% CI 1.39–2.01), attachment to vessel (OR=2.41; 95% CI 0.99–5.81), nodule location (OR=3.25; 95% CI 1.09–8.55), border definition (OR=7.56; 95% CI 1.89–30.8), and concavity (OR=2.58; 95% CI 0.89–5.64). We identified a set of clinically relevant radiological features that that can be easily scored in the clinical setting and may be of use to determine lung cancer risk among participants presenting with SPNs.
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DOI：
10.1158/1078-0432.ccr-14-0990
发表时间：
2015-01-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
--
作者：
O'Connor JP;Rose CJ;Waterton JC;Carano RA;Parker GJ;Jackson A
通讯作者：
Jackson A
影响因子：
10.3
作者：
Aberle, Denise R.;Adams, Amanda M.;Pinsky, Paul F.
通讯作者：
Pinsky, Paul F.
影响因子：
20.4
作者：
Glynn, Catherine;Zakowski, Maureen F.;Ginsberg, Michelle S.
通讯作者：
Ginsberg, Michelle S.
影响因子：
5.9
作者：
LIBBY, DM;HENSCHKE, CI;YANKELEVITZ, DF
通讯作者：
YANKELEVITZ, DF
影响因子：
3.7
作者：
Schabath, Matthew B.;Massion, Pierre P.;Gillies, Robert J.
通讯作者：
Gillies, Robert J.