Noninvasive biomarkers for lung cancer diagnosis, where do we stand?

被引:18
|
作者
Kammer, Michael N. [1 ,2 ]
Massion, Pierre P. [2 ,3 ,4 ]
机构
[1] Vanderbilt Univ, Dept Chem, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Dept Med, Div Allergy Pulm & Crit Care Med, Med Ctr, Preston Res Bldg 640,2220 Pierce Ave, Nashville, TN 37232 USA
[3] Vanderbilt Ingram Canc Ctr, Canc Early Detect & Prevent Initiat, Nashville, TN USA
[4] Tennessee Valley Healthcare Syst, Med Serv, Nashville Campus, Nashville, TN USA
关键词
Indeterminate pulmonary nodules (IPNs); management; biomarkers; prediction; HIGH-RISK; DISTINGUISH BENIGN; PULMONARY NODULES; PREDICTION MODEL; CLINICAL UTILITY; TUMOR-MARKERS; IDENTIFICATION; VALIDATION; TRIAL; CT;
D O I
10.21037/jtd-2019-ndt-10
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
The 2010's saw demonstration of the power of lung cancer screening to reduce mortality. However, with implementation of lung cancer screening comes the challenge of diagnosing millions of lung nodules every year. When compared to other cancers with widespread screening strategies (breast, colorectal, cervical, prostate, and skin), obtaining a lung nodule tissue biopsy to confirm a positive screening test remains associated with higher morbidity and cost. Therefore, non-invasive diagnostic biomarkers may have a unique opportunity in lung cancer to greatly improve the management of patients at risk. This review covers recent advances in the field of liquid biomarkers and computed tomographic imaging features, with special attention to new methods for combination of biomarkers as well as the use of artificial intelligence for the discrimination of benign from malignant nodules.
引用
收藏
页码:3317 / 3330
页数:14
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