肺亚实性结节生长风险评估与精准管理研究进展OA

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.