肺癌早期诊断新技术与临床应用  

New technology and clinical application in early diagnosis of lung cancer

作　　者：赵微[1] 吴珍[1] 陈良安[1] Zhao Wei;Wu Zhen;Chen Liang'an(Department of Respiratory and Critical Care Medicine,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,China)

机构地区：[1]解放军总医院第一医学中心呼吸与危重症医学科,北京100853

出　　处：《国际呼吸杂志》2024年第7期745-749,F0002,共6页International Journal of Respiration

基　　金：首都卫生发展科研专项(首发2020-1-5011)。

摘　　要：肺癌的治疗取得了许多重要突破进展,但肺癌的早期诊断仍旧是改善肺癌患者整体预后的重要环节。现代科技下,组学、人工智能、大数据分析和机器人等科学技术的发展,对肺癌早期诊断中的新型标志物、影像及影像组学、介入技术和临床决策等的研究与临床应用研究的进步发挥了重大推动作用,不但提高了肺结节性质的判断水平,更提高了早期肺癌的诊断能力。Treatment for lung cancer has made many significant breakthroughs,but the early diagnosis of lung cancer remains an important aspect for improving the overall prognosis of lung cancer patients.With the development of modern technology such as omics,artificial intelligence(AI),big data analysis,and robotics,the clinical application of novel biomarkers,imaging and radiomics,and interventional techniques,and the studies of clinical decision-making in early lung cancer diagnosis have made significant progress,which not only improve the accuracy of pulmonary nodule characterization but also enhance the diagnostic ability for early-stage lung cancer.

关 键 词：肺肿瘤 早期诊断 影像组学 介入技术 生物标志物 人工智能 多组学 

分 类 号：R734.2[医药卫生—肿瘤]