持续性肺亚实性结节生长预测的研究进展
Research Advances on Growth Prediction of Pulmonary Persistent Subsolid Nodules
DOI: 10.12677/acm.2026.163782, PDF,   
作者: 付 婷, 吕发金：重庆医科大学附属第一医院放射科，重庆
关键词: 亚实性结节；生长预测；计算机断层扫描；Subsolid Nodule； Growth Prediction； Computed Tomography
摘要: 随着低剂量计算机断层扫描在肺癌筛查中的广泛应用，亚实性肺结节的检出率显著上升。持续存在的亚实性肺结节很有可能是肺腺癌谱系病变。然而，持续性亚实性肺结节生长缓慢，生长异质性较高。目前尚不清楚具有哪些特征的持续性亚实性肺结节需要密切关注。尽管已发布了许多肺结节管理指南，但这些指南在结节分类及随访策略方面存在争议。因此本文就持续性亚实性肺结节生长的定义、生长模式、影响生长的相关因素、新技术的应用及基因特征等作综述，旨在优化此类结节的随访策略。
Abstract: With the widespread adoption of low-dose computed tomography in lung cancer screening, the detection rate of subsolid pulmonary nodules has increased significantly. Persistent subsolid pulmonary nodules are highly likely to be part of the spectrum of lung adenocarcinoma lesions. However, these nodules exhibit slow growth and high heterogeneity in growth patterns. It remains unclear which characteristics of persistent subsolid pulmonary nodules require close attention. Although numerous guidelines for pulmonary nodule management have been published, there are controversies regarding nodule classification and follow-up strategies. Therefore, this review summarizes the definition of growth in persistent subsolid pulmonary nodules, growth patterns, factors influencing growth, the application of new technologies, and genetic features, aiming to optimize follow-up strategies for such nodules.
文章引用：付婷, 吕发金. 持续性肺亚实性结节生长预测的研究进展[J]. 临床医学进展, 2026, 16(3): 218-226. https://doi.org/10.12677/acm.2026.163782

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