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用于诊断不明确肺结节的生物标志物:我们做到了吗?

Biomarkers for the diagnosis of indeterminate pulmonary nodules: are we there yet?

作者信息

McGann Kevin C, Khalil Timothy A, Kammer Michael N, Ostrin Edwin J, Pass Harvey I, Tsay Jun-Chieh James, Segal Leopoldo N, Potter Melissa, Deppen Stephen A, Maldonado Fabien, Grogan Eric L

机构信息

Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.

Institut de recherche en informatique de Toulouse, Université Toulouse Capitole, Toulouse, France.

出版信息

J Thorac Dis. 2025 Aug 31;17(8):6265-6282. doi: 10.21037/jtd-2024-2010. Epub 2025 Jul 23.

DOI:10.21037/jtd-2024-2010
PMID:40950900
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12433071/
Abstract

Indeterminate pulmonary nodules (IPNs), which are nodules that cannot be classified as definitively benign or malignant at the time of detection, are now diagnosed on the order of millions per year. Management of IPNs remains heavily debated, and routine practice ultimately involves some balance of overall clinical risk assessment and additional diagnostic tests or procedures which may generate significant risk, cost, and worry. Biomarkers are biologically based tests or indicators capable of accurately characterizing the physiologic properties of homeostasis and disease that are not otherwise easily evaluated by the clinician. Accurate biomarkers thereby serve as reliable surrogates for biological aberrancy, and importantly for the field of diagnostics, can signal early pathology before it becomes clinically detectable. In the realm of IPNs, biomarker development seeks to address a growing need for noninvasive adjunct tools that can be leveraged clinically to add clarity where diagnostic uncertainty exists. Here, effective diagnostic biomarkers have the potential to hone clinical management, accelerate treatment when indicated, and curb added unnecessary diagnostics. In this review article, the authors highlight the role for biomarkers in the diagnosis of IPNs, outline the methodology for successful biomarker development, and discuss contemporary IPN biomarker research and the remaining challenges and future directions for the field.

摘要

indeterminate肺结节(IPN)是指在检测时不能明确归类为良性或恶性的结节,目前每年的诊断数量达数百万例。IPN的管理仍存在激烈争论,常规做法最终需要在整体临床风险评估与可能产生重大风险、成本和担忧的额外诊断测试或程序之间取得某种平衡。生物标志物是基于生物学的测试或指标,能够准确表征体内稳态和疾病的生理特性,而这些特性临床医生难以通过其他方式轻易评估。因此,准确的生物标志物可作为生物异常的可靠替代指标,并且对于诊断领域而言重要的是,能够在临床可检测到之前发出早期病理信号。在IPN领域,生物标志物的开发旨在满足对非侵入性辅助工具日益增长的需求,这些工具可在临床上用于在存在诊断不确定性的情况下增加清晰度。在此,有效的诊断生物标志物有可能优化临床管理,在有指征时加速治疗,并减少不必要的额外诊断。在这篇综述文章中,作者强调了生物标志物在IPN诊断中的作用,概述了成功开发生物标志物的方法,并讨论了当代IPN生物标志物研究以及该领域尚存的挑战和未来方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6f8/12433071/d703f2d5f83f/jtd-17-08-6265-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6f8/12433071/27bc8072f11b/jtd-17-08-6265-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6f8/12433071/d703f2d5f83f/jtd-17-08-6265-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6f8/12433071/27bc8072f11b/jtd-17-08-6265-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6f8/12433071/d703f2d5f83f/jtd-17-08-6265-f2.jpg

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本文引用的文献

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Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.用于筛查发现、偶然发现及活检的肺结节的肺癌预测模型的性能
Radiol Artif Intell. 2025 Mar;7(2):e230506. doi: 10.1148/ryai.230506.
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Biomarker trajectory for earlier detection of lung cancer.生物标志物轨迹用于早期肺癌检测。
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Assessing the transportability of radiomic models for lung cancer diagnosis: commercial open-source feature extractors.
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Validation of a Blood-Based Protein Biomarker Panel for a Risk Assessment of Lethal Lung Cancer in the Physicians' Health Study.在医师健康研究中用于评估致命性肺癌风险的基于血液的蛋白质生物标志物组合的验证
Cancers (Basel). 2024 May 30;16(11):2070. doi: 10.3390/cancers16112070.
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Development and external validation of a multimodal integrated feature neural network (MIFNN) for the diagnosis of malignancy in small pulmonary nodules (≤10 mm).多模态综合特征神经网络(MIFNN)在≤10mm 小肺结节良恶性诊断中的构建与外部验证
Biomed Phys Eng Express. 2024 May 8;10(4). doi: 10.1088/2057-1976/ad449a.
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Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early Lung Cancer Characterization.高级图像分析在 CT 检测到的肺部不确定结节和早期肺癌特征中的作用不断扩大。
Radiology. 2023 Oct;309(1):e222904. doi: 10.1148/radiol.222904.
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TIMP1 is an early biomarker for detection and prognosis of lung cancer.TIMP1 是一种用于肺癌检测和预后的早期生物标志物。
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