胸部计算机断层扫描检测到的肺结节的数据驱动风险分层和精确管理

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SCI 8 October 2024 Data-driven risk stratification and precision management of pulmonary nodules detected on chest computed tomography (Nature Medicine, IF: 58.7) Chengdi Wang, Jun Shao, Yichu He, Jiaojiao Wu, Xingting Liu, Liuqing Yang, Ying Wei, Xiang Sean Zhou, Yiqiang Zhan, Feng Shi, Dinggang Shen & Weimin Li CORRESPONDENCE TO: chengdi_wang@scu.edu.cn; feng.shi@uii-ai.com; Dinggang.Shen@gmail.com; weimi003@scu.edu.cn The widespread implementation of low-dose computed tomography (LDCT) in lung cancer screening has led to the increasing detection of pulmonary nodules. However, precisely evaluating the malignancy risk of pulmonary nodules remains a formidable challenge. Here we propose a triage-driven Chinese Lung Nodules Reporting and Data System (C-Lung-RADS) utilizing a medical checkup cohort of 45,064 cases. The system was operated in a stepwise fashion, initially distinguishing low-, mid-, high- and extremely high-risk nodules based on their size and density. Subsequently, it p ………………………………