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Learning from chronic disease screening success: developing efficient, convenient, and affordable lung cancer screening methods to achieve universal coverage.

作者信息

He Jianxing, Liang Wenhua, Zhong Nanshan

机构信息

State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.

Department of Thoracic Surgery, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

出版信息

Transl Lung Cancer Res. 2025 Feb 28;14(2):649-651. doi: 10.21037/tlcr-2024-1074. Epub 2025 Feb 27.

DOI:10.21037/tlcr-2024-1074
PMID:40114935
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11921218/
Abstract
摘要

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本文引用的文献

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Combination Diagnostics: Adding Blood-Based ctDNA Screening to Low-Dose CT Imaging for Early Detection of Lung Cancer.联合诊断：将基于血液的 ctDNA 筛查与低剂量 CT 成像相结合，用于肺癌的早期检测。
Cancer Discov. 2024 Nov 1;14(11):2025-2027. doi: 10.1158/2159-8290.CD-24-1195.
2
Diagnosis of Lung Cancer Through Exhaled Breath: A Comprehensive Study.通过呼气诊断肺癌：一项综合性研究。
Mol Diagn Ther. 2024 Nov;28(6):847-860. doi: 10.1007/s40291-024-00744-8. Epub 2024 Sep 19.
3
Towards zero lung cancer.迈向零肺癌。
Chin Med J Pulm Crit Care Med. 2023 Dec 11;1(4):195-197. doi: 10.1016/j.pccm.2023.10.006. eCollection 2023 Dec.
4
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.
5
Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer.当前和未来视角下的肺癌计算机断层扫描筛查：2023 至 2027 年国际肺癌研究协会路线图
J Thorac Oncol. 2024 Jan;19(1):36-51. doi: 10.1016/j.jtho.2023.07.019. Epub 2023 Jul 23.
6
Radiomics and artificial intelligence for precision medicine in lung cancer treatment.放射组学和人工智能在肺癌治疗中的精准医学应用。
Semin Cancer Biol. 2023 Aug;93:97-113. doi: 10.1016/j.semcancer.2023.05.004. Epub 2023 May 19.
7
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective.人工智能在肺癌诊断和预后中的应用：现状与未来展望。
Semin Cancer Biol. 2023 Feb;89:30-37. doi: 10.1016/j.semcancer.2023.01.006. Epub 2023 Jan 20.
8
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.西比尔：一种从单次低剂量胸部 CT 预测未来肺癌风险的经过验证的深度学习模型。
J Clin Oncol. 2023 Apr 20;41(12):2191-2200. doi: 10.1200/JCO.22.01345. Epub 2023 Jan 12.
9
Ultrasensitive detection of circulating tumour DNA via deep methylation sequencing aided by machine learning.通过机器学习辅助的深度甲基化测序对循环肿瘤 DNA 进行超灵敏检测。
Nat Biomed Eng. 2021 Jun;5(6):586-599. doi: 10.1038/s41551-021-00746-5. Epub 2021 Jun 15.
10
Screening for Hypertension in Adults.成人高血压筛查
JAMA. 2021 Apr 27;325(16):1688. doi: 10.1001/jama.2021.5288.