《人工智能在肺结节诊治中的应用专家共识(2022年版)》解读  

Interpretation of Chinese experts consensus on artificial intelligence assisted management for pulmonary nodule(2022 version)

作　　者：林耀彬 林勇斌[1] 赵泽锐 林志潮[2] 姜龙 郑斌[4] 廖虎[5] 闫万璞[6] 李斌[7] 汪路明[8] 龙浩[1] LIN Yaobin;LIN Yongbin;ZHAO Zerui;LIN Zhichao;JIANG Long;ZHENG Bin;LIAO Hu;YAN Wanpu;LI Bin;WANG Luming;LONG Hao(Department of Thoracic Surgery,Sun Yat-Sen University Cancer Center,Guangzhou,510060,P.R.China;Department of Thoracic Surgery,Jiangmen Central Hospital,Jiangmen,529030,Guangdong,P.R.China;Department of Thoracic Surgery,Shanghai Chest Hospital,Shanghai,200030,P.R.China;Department of Thoracic Surgery,Fujian Medical University Union Hospital,Fuzhou,350001,P.R.China;Department of Thoracic Surgery,West China Hospital,Sichuan University,Chengdu,610041,P.R.China;Department of Thoracic Surgery,Peking University Cancer Hospital and Institute,Beijing,100143,P.R.China;Department of Thoracic Surgery,The Second Affiliated Hospital of Lanzhou University,Lanzhou,730030,P.R.China;Department of Thoracic Surgery,The First Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou,310003,P.R.China)

机构地区：[1]中山大学肿瘤防治中心胸外科,广州510060 [2]江门市中心医院胸外科,广东江门529030 [3]上海交通大学附属胸科医院胸外科,上海200030 [4]福建医科大学附属协和医院胸外科,福州350001 [5]四川大学华西医院胸外科,成都610041 [6]北京大学肿瘤医院胸外科,北京100143 [7]兰州大学第二医院胸外科,兰州730030 [8]浙江大学医学院附属第一医院胸外科,杭州310003

出　　处：《中国胸心血管外科临床杂志》2023年第5期665-671,共7页Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

摘　　要：肺癌筛查计划的推广带来了肺结节检出率的显著提高,加重了影像学科的工作负荷,且传统诊断方法的局限性亦日益凸显。应用人工智能辅助技术进行肺结节的早期识别、良恶性判断和病理分型预测可以为临床决策提供参考,并制定有效的治疗、随访方案。《人工智能在肺结节诊治中的应用专家共识(2022年版)》(以下简称《共识》)已于近期正式发布。本文紧密围绕该《共识》撰写的背景、重大意义、核心内容以及对今后肺结节诊治的影响进行了详细解读。希望通过我们大家的共同努力,提高我国肺部结节诊疗的规范化水平,努力提高肺癌患者的长期生存率和生活质量。The increasing number of pulmonary nodules being detected by computed tomography scans significantly increase the workload of the radiologists for scan interpretation.Limitations of traditional methods for differential diagnosis of pulmonary nodules have been increasingly prominent.Artificial intelligence(AI)has the potential to increase the efficiency of discrimination and invasiveness classification for pulmonary nodules and lead to effective nodule management.Chinese Experts Consensus on Artificial Intelligence Assisted Management for Pulmonary Nodule(2022 Version)has been officially released recently.This article closely follows the context,significance,core implications,and the impact of future AI-assisted management on the diagnosis and treatment of pulmonary nodules.It is hoped that through our joint efforts,we can promote the standardization of management for pulmonary nodules and strive to improve the long-term survival and postoperative life quality of patients with lung cancer.

关 键 词：肺结节 人工智能 专家共识 解读 

分 类 号：R563[医药卫生—呼吸系统] TP18[医药卫生—内科学]