| 中文关键词: 肺癌 低剂量螺旋CT 筛查 预测模型 |
| 英文关键词:lung cancer low-dose computed tomography(LDCT) screening prediction model |
| 基金项目:河北省省级科技计划(213777103D)；河北省医学科学研究课题计划(20220155) |
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| 中文摘要: |
| 摘 要：肺癌5年生存率仅为19.7%，但早期肺癌的5年生存率可达80%以上。采用低剂量螺旋CT（low-dose computed tomography，LDCT）进行肺癌筛查，对于肺癌的早期诊断十分重要。在有限的卫生经济条件下，筛查前通过预测模型对人群进行分层管理，可提高肺癌早期检出率。全文就利用LDCT进行肺癌筛查、肺癌预测模型应用以及存在问题进行综述。 |
| 英文摘要: |
| Abstract： The overall 5-year survival rate of lung cancer is only around 20%， however，that of the early stage lung cancer could reach more than 80%. Recent studies have demonstrated that screening with low-dose computed tomography(LDCT) in high risk population is effective for early detection and early diagnosis of lung cancer，and the stratified management of the screening population with prediction models may further improve the early detection rate of lung cancer in a more cost-effective way. This article reviews the research progress of lung cancer screening with LDCT， the development of lung cancer prediction models， and related problems. |
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