[Low-dose Spiral Computed Tomography in Lung Cancer Screening]

Zhongguo Fei Ai Za Zhi. 2022 Sep 20;25(9):678-683. doi: 10.3779/j.issn.1009-3419.2022.101.40.
[Article in Chinese]

Abstract

Lung cancer is one of the malignant tumors with the highest morbidity and mortality in the world. The low early diagnosis rate and poor prognosis of patients have caused serious social burden. Regular screening of high-risk population by low-dose spiral computed tomography (LDCT) can significantly improve the early diagnosis rate of lung cancer and bring new opportunities for the diagnosis and treatment of lung cancer. In recent years, LDCT lung cancer screening programs have been carried out in many countries around the world and achieved good results, but there are still some controversies in the selection of screening subjects, screening frequency, cost effectiveness and other aspects. In this paper, the key factors of LDCT lung cancer screening, screening effect, pulmonary nodule management and artificial intelligence contribution to the development of LDCT will be reviewed, and the application progress of LDCT in lung cancer screening will be discussed. .

【中文题目:低剂量螺旋CT在肺癌筛查中的应用】 【中文摘要:肺癌是全世界发病率和死亡率最高的恶性肿瘤之一,患者的早期诊断率低、预后差,已造成严重的社会负担。通过低剂量螺旋计算机断层扫描(low-dose spiral computed tomography, LDCT)对高危人群进行定期筛查的方法能够显著提高肺癌的早期诊断率,为肺癌的诊疗带来了新机遇。近年来,全世界多个国家开展了LDCT肺癌筛查项目并取得了良好的效果,但在筛查主体的选择、筛查频率、成本效能等方面也存在一些争议。本文将从LDCT肺癌筛查的关键因素、筛查效果、肺结节的管理和人工智能对于LDCT的发展贡献等方面进行综述,探讨LDCT在肺癌筛查中的应用进展。 】 【中文关键词:肺肿瘤;低剂量螺旋计算机断层扫描;筛查;早诊;肺结节管理】.

Keywords: Early detection; Low-dose spiral computed tomography; Lung neoplasms; Lung nodule management; Screening.

MeSH terms

  • Artificial Intelligence
  • Early Detection of Cancer* / methods
  • Humans
  • Lung Neoplasms* / diagnostic imaging
  • Radiation Dosage
  • Tomography, Spiral Computed* / methods

Grants and funding

本文受国家自然科学基金面上项目(No.81872236)和天津市重大疾病防治科技重大专项项目(No.18ZXDBSY00040)资助