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中华肺部疾病杂志(电子版) ›› 2022, Vol. 15 ›› Issue (01) : 1 -5. doi: 10.3877/cma.j.issn.1674-6902.2022.01.001

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肺结节临床精准诊断的新理念
杨丽1, 钱桂生2,()   
  1. 1. 400016 重庆,重庆医科大学附属第一医院呼吸与危重症科
    2. 400037 重庆,陆军(第三)军医大学第二附属医院呼吸与危重症医学科
  • 收稿日期:2022-01-12 出版日期:2022-02-25
  • 通信作者: 钱桂生
  • 基金资助:
    重庆市科学技术局技术创新与应用发展专项面上项目(cstc2019jscx-msxmX0184); 重庆医科大学附属第一医院学科创新基金学科培育项目(XKST134)

Advances in accurate diagnosis of pulmonary nodules

Li Yang1, Guisheng Qian2()   

  • Received:2022-01-12 Published:2022-02-25
  • Corresponding author: Guisheng Qian
引用本文:

杨丽, 钱桂生. 肺结节临床精准诊断的新理念[J]. 中华肺部疾病杂志(电子版), 2022, 15(01): 1-5.

Li Yang, Guisheng Qian. Advances in accurate diagnosis of pulmonary nodules[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2022, 15(01): 1-5.

1
钱桂生. 肺癌不同病理类型发病率的变化情况及其原因[J/CD]. 中华肺部疾病杂志(电子版), 2011, 4(1): 1-5.
2
Hyuna S, Jacques F, Rebecca LS, et al. Global cancer statistics 2020:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2021, 71(3): 209-249.
3
Oudkerk M, Liu S, Heuvelmans MA, et al. Lung cancer LDCT screening and mortality reduction-evidence, pitfalls and future perspectives[J]. Nat Rev Clin Oncol, 2021, 18(3): 135-151.
4
Goldstraw P, Chansky K, Crowley J, et al. The IASLC lung cancer staging project: Proposals for revision of the TNM stage groupings in the forthcoming (Eighth) edition of the TNM classification for lung cancer[J]. J Thorac Oncol, 2016, 11: 39-51.
5
Aberle DR, Adams AM, Berg CD, et al. National lung screening trial research team. Reduced lung cancer mortality with low-dose computed tomographic screening [J]. N Engl J Med, 2011, 365(5): 395-409.
6
范伟杰,张 冬. 影像组学及深度学习在肺结节良恶性鉴别诊断中的新理念[J/CD]. 中华肺部疾病杂志(电子版), 2021, 14(5): 549-553.
7
中华医学会呼吸病学分会肺癌学组,中国肺癌防治联盟专家组,肺结节诊治中国专家共识(2018年版)[J]. 中华结核和呼吸杂志2018, 41(10): 763-771.
8
Horeweg N, van Rosmalen J, Heuvelmans MA, et al. Lung cancer probability in patients with CT-detected pulmonary nodules:a prespecified analysis of data from the NELSON trial of low-dose CT screening[J]. Lancet Oncol, 2014, 15(12): 1332-1341.
9
Jacobs C, van Ginneken B. Google′s lung cancer AI: a promising tool that needs further validation[J]. Nat Rev Clin Oncol, 2019, 16(9): 532-533.
10
Horeweg N, van der Aalst CM, Thunnissen E, et al. Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial[J]. Am J Respir Crit Care Med, 2013, 187(8): 848-854.
11
Chang YY, Chen CK, Yeh YC, et al. Diagnostic feasibility and safety of CT-guided core biopsy for lung nodules less than or equal to 8 mm: A single-institution experience[J]. Eur Radiol, 2018, 28(2): 796-806.
12
朱 妍,王 剑. 肺小结节危险因素分析及恶性预测模型的建立[J/CD]. 中华肺部疾病杂志(电子版), 2020, 13(2): 223-228.
13
Roberts TJ, Lennes IT, Hawari S, et al. Integrated, multidisciplinary management of pulmonary nodules can streamline care and improve adherence to recommendations[J]. Oncologist, 2020, 25(5): 431-437.
14
Suresh S, Salama GR, Ramjit A, et al. CT-guided fine-needle aspiration biopsy of pulmonary nodules 8 mm or less has a higher diagnostic accuracy than positron emission tomography-CT[J]. J Vasc Interv Radiol, 2018, 29(4): 520-523.
15
叶 欣,范卫君,王忠敏,等. 热消融治疗肺部亚实性结节专家共识(2021年版)[J]. 中国肺癌杂志2021, 24(5): 305-321.
16
Suh YJ, Park CM, Han K, et al. Utility of FDG PET/CT for preoperative staging of non-small cell lung cancers manifesting as subsolid nodules with a solid portion of 3 cm or smaller[J]. AJR Am J Roentgenol, 2020, 214(3): 514-523.
17
柯明耀,陈智德,曾俊莉,等. 肺磨玻璃结节诊治策略与消融治疗[J]. 中国胸心血管外科临床杂志2022, 29(1): 11-22.
18
Heuvelmans MA, Walter JE, Peters RB, et al. Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study[J]. Lung Cancer, 2017, 113: 45-50.
19
Thakur MK, Ruterbusch JJ, Schwartz AG, et al. Risk of second lung cancer in patients with previously treated lung cancer: Analysis of surveillance, epidemiology, and end results (SEER) data [J]. J Thorac Oncol, 2018, 13(1): 46-53.
20
Liu C, Xiang X, Han S, et al. Blood-based liquid biopsy: Insights into early detection and clinical management of lung cancer[J]. Cancer Lett, 2022, 524: 91-102.
21
Abbosh C, Birkbak NJ, Swanton C. Early stage NSCLC-challenges to implementing ctDNA-based screening and MRD detection[J]. Nat Rev Clin Oncol, 2018, 15(9): 577-586.
22
Chen K, Bai J, Reuben A, et al. Multiomics analysis reveals distinct immunogenomic features of lung cancer with ground-glass opacity[J]. Am J Respir Crit Care Med, 2021, 204(10): 1180-1192.
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