中国肺癌杂志2026，Vol.29Issue(6)：428-436,9.DOI:10.3779/j.issn.1009-3419.2026.106.20
肺亚实性结节生长风险评估与精准管理研究进展
Advances in the Growth Risk Assessment and Precision Management of Pulmonary Subsolid Nodules
摘要
Abstract
Pulmonary subsolid nodules(SSNs)exhibit heterogeneous growth patterns.Most SSNs remain stable or grow only slowly during long-term follow-up,whereas a small subset grows rapidly over a relatively short period.Some of these lesions may ultimately progress to invasive adenocarcinoma(IAC).Growth is an important imaging manifestation of evolving biological behavior in SSNs.It also serves as a key determinant of surveillance strategies and the timing of intervention.Ac-cordingly,accurate assessment of growth risk has become a major focus of current research.Starting from the natural history of SSNs and the challenges associated with their clinical surveillance and management,this review systematically examines advances in SSNs growth risk assessment across imaging,radiomics,and deep learning.It also summarizes relevant molecular biological evidence to inform accurate growth risk assessment and the development of individualized management strategies for SSNs.关键词
亚实性结节/生长/随访/影像组学/深度学习/单细胞测序Key words
Subsolid nodules/Growth/Follow-up/Radiomics/Deep learning/Single-cell sequencing引用本文复制引用
崔舒蕾,齐琳琳,王建卫..肺亚实性结节生长风险评估与精准管理研究进展[J].中国肺癌杂志,2026,29(6):428-436,9.基金项目
This paper was supported by the grants from the National Natural Science Foundation of China(No.81971616,to Jian-wei WANG),the Fundamental Research Funds for the Central Universities,Peking Union Medical College(No.3332022025,to Linlin QI （No.81971616,to Jian-wei WANG）
No.3332024207,to Linlin QI). 本文受国家自然科学基金项目(No.81971616)和北京协和医学院中央高校基本科研业务费专项资金(No.3332022025、No.3332024207)资助 （No.81971616）
