肺结节风险分层的基于血液的生物标志物:系统性审查和元分析

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Muhammad Perwaiz¹, Kanwal Latif², Anesha White²

¹Mount Sinai Elmhurst Hospital.

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概括

血液检查显示出诊断肺结节的前景,有助于排除癌症. 循环无细胞DNA碎片学试验为肺结节管理提供了最准确的结果.

科学领域:

肺部医学肺部医学
在瘤学瘤学.
生物标志物发现发现

背景情况:

不确定的肺结节需要准确的诊断来区分良性和恶性病例.
目前的诊断方法可能是侵入性的,导致潜在的并发症和增加医疗保健成本.

研究的目的:

评估基于血液的生物标志物测试的诊断性能,以区分恶性和良性不确定性肺结节.
评估这些试验在治疗肺结节患者中的临床实用性.

主要方法:

对13项研究 (n=2771名患者) 的系统审查和元分析,包括蛋白质组测定,循环无细胞DNA (cfDNA) 碎片组和综合模型.
使用随机效应模型估计了聚合灵敏度,特异性和AUC.
评估了偏见和出版偏见的风险.

主要成果:

总的综合敏感度为84.6%,特异性为65.3%,AUC为0.78.
cfDNA碎片学测定实现了最高的准确性 (AUC:0.87),在各种患者群体和结节类型中表现良好.
96%的负预测值表明,它对于排除恶性瘤具有很强的实用性.

结论:

基于血液的生物标志物分析,特别是cfDNA碎片组学,显示出作为肺结节管理的辅助工具的潜力.
这些测试可能有助于减少不必要的侵入性手术,有效排除恶性瘤.
进一步的大规模前性研究是有必要的,以扩大临床应用.

关键词:

生物标志物生物标志物早期检测早期检测肺癌是一种肺癌.这是一个元分析.肺部结节肺部结节

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