精准医疗时代下肺癌筛查的难点与对策  

The challenges and strategies of lung cancer screening in the era of precision medicine

作　　者：康文文 韩贺东 吕镗烽 宋勇 Kang Wenwen;Han Hedong;Lyu Tangfeng;Song Yong(Jinling Hospital,Affiliated Hospital of Medical School,Nanjing University,Nanjing 210016,China)

机构地区：[1]南京大学医学院附属金陵医院呼吸与危重症医学科,南京210016

出　　处：《中华结核和呼吸杂志》2024年第12期1211-1216,共6页Chinese Journal of Tuberculosis and Respiratory Diseases

基　　金：呼吸病学—江苏省医学重点学科(JSDW202208);江苏省自然科学基金青年项目(BK20210146);东部战区总医院临床研究项目(22LCYY-QH7)。

摘　　要：肺癌是全球发病率与病死率最高的恶性肿瘤。最新数据显示,我国肺癌新发人数和死亡人数均居恶性肿瘤首位。肺癌筛查有助于提高患者的生存率和生活质量。目前,我国肺癌筛查工作仍面临多重挑战,包括识别筛查人群、选择筛查技术、管理和随访筛查结果以及控制筛查质量。在精准医疗时代下,利用人工智能(artificial intelligence,AI)和大数据技术结合构建预测模型,可显著提高肺癌筛查的准确性和有效性。为实现具有中国特色的肺癌筛查,我们还要继续探索精准医疗。Lung cancer is the malignant tumor with the highest morbidity and mortality in the world.The number of new cases and deaths of lung cancer in China ranked first in all malignant tumors.Lung cancer screening plays an important role in improving the survival rate and quality of life of patients.However,there are several challenges of lung cancer screening in China,including identifying the target population,selecting appropriate screening methods,managing screening results,and maintaining quality control.In the era of precision medicine,combining artificial intelligence(Al)and big data to develop predictive models can significantly enhance the accuracy and effectiveness of lung cancer screening.To develop a lung cancer screening strategy tailored to the Chinese population,further exploration of precision medicine is essential.

关 键 词：肺癌筛查 精准医疗 筛查结果 筛查技术 死亡人数 人工智能 恶性肿瘤 数据显示 

分 类 号：R734.2[医药卫生—肿瘤]