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本文引用的文献

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The Role of Biomarkers in Lung Cancer Screening.生物标志物在肺癌筛查中的作用。
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2
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.基于机器学习的影像组学分析预测肺结节良恶性。
Thorax. 2024 Mar 15;79(4):307-315. doi: 10.1136/thorax-2023-220226.
3
Application of radiomics in diagnosis and treatment of lung cancer.放射组学在肺癌诊断与治疗中的应用。
Front Pharmacol. 2023 Nov 1;14:1295511. doi: 10.3389/fphar.2023.1295511. eCollection 2023.
4
Why is the screening rate in lung cancer still low? A seven-country analysis of the factors affecting adoption.为什么肺癌筛查率仍然较低?影响采用因素的七国分析。
Front Public Health. 2023 Nov 9;11:1264342. doi: 10.3389/fpubh.2023.1264342. eCollection 2023.
5
Screening for lung cancer: 2023 guideline update from the American Cancer Society.肺癌筛查:美国癌症协会 2023 年指南更新。
CA Cancer J Clin. 2024 Jan-Feb;74(1):50-81. doi: 10.3322/caac.21811. Epub 2023 Nov 1.
6
Exploring the Potential of Non-Coding RNAs as Liquid Biopsy Biomarkers for Lung Cancer Screening: A Literature Review.探索非编码RNA作为肺癌筛查液体活检生物标志物的潜力:文献综述
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7
ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer.ERS/ESTS/ESTRO/ESR/ESTI/EFOMP 关于低剂量 CT 筛查肺癌时偶然发现的管理声明。
Eur J Cardiothorac Surg. 2023 Oct 4;64(4). doi: 10.1093/ejcts/ezad302.
8
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.采用简约集成机器学习模型评估肺癌筛查的资格:一项开发和验证研究。
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Stage Shift Improves Lung Cancer Survival: Real-World Evidence.阶段转移改善肺癌生存:真实世界证据。
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肺癌筛查:我们目前的状况如何?

Lung cancer screening: where do we stand?

作者信息

Hardavella Georgia, Frille Armin, Sreter Katherina Bernadette, Atrafi Florence, Yousaf-Khan Uraujh, Beyaz Ferhat, Kyriakou Fotis, Bellou Elena, Mullin Monica L, Janes Sam M

机构信息

4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.

Department of Respiratory Medicine, University of Leipzig, Leipzig, Germany.

出版信息

Breathe (Sheff). 2024 Aug 27;20(2):230190. doi: 10.1183/20734735.0190-2023. eCollection 2024 Jun.

DOI:10.1183/20734735.0190-2023
PMID:39193459
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11348916/
Abstract

Lung cancer screening (LCS) programmes have emerged over recent years around the world. LCS programmes present differences in delivery, inclusion criteria and resource allocation. On a national scale, only a few LCS programmes have been fully established, but more are anticipated to follow. Evidence has shown that, in combination with a low-dose chest computed tomography scan, smoking cessation should be offered as part of a LCS programme for improved patient outcomes. Promising tools in LCS include further refined risk prediction models, the use of biomarkers, artificial intelligence and radiomics. However, these tools require further study and clinical validation is required prior to routine implementation.

摘要

近年来,肺癌筛查(LCS)项目在全球范围内纷纷涌现。LCS项目在实施方式、纳入标准和资源分配方面存在差异。在国家层面,只有少数LCS项目已全面建立,但预计会有更多项目相继开展。有证据表明,结合低剂量胸部计算机断层扫描,应将戒烟作为LCS项目的一部分提供给患者,以改善治疗效果。LCS中有前景的工具包括进一步完善的风险预测模型、生物标志物的应用、人工智能和放射组学。然而,这些工具需要进一步研究,并且在常规应用之前需要进行临床验证。