ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2026
[Advances in the Growth Risk Assessment and Precision Management of Pulmonary Subsolid Nodules].
Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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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. Accordingly, 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. .
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