Abstract
To explore the risk factors for pathological invasiveness and lymph node metastasis of non-mucinous invasive lung adenocarcinoma with a maximum diameter of less than or equal to 3 cm in thin slice CT. The aim of this study was to develop some models for predicting pathological invasiveness and lymph node metastasis in patients with early nonmucinous invasive lung adenocarcinoma. Our study analyzed the clinical, imaging, and pathological characteristics of 700 cases of non mucinous invasive lung adenocarcinoma, and used multiple learning methods such as univariate, multivariate logistic regression, and ROC working curve to establish risk factors for pathological invasion and lymph node metastasis. The results were as follows: 1. In the mGNN group, multivariate logistic regression identified two independent risk factors: CTR (p < 0.001) and the presence of micropapillary component (p = 0.005).With an area under the ROC curve of 0.881, sensitivity of 79.6%, and specificity of 89.3%0.2. In the SN group, multivariate logistic regression identified three independent risk factors: maximum lesion diameter (p = 0.045), IASLC grading (p < 0.05), and the presence of micropapillary component (p = 0.012). With an area under the ROC curve of 0.756, sensitivity of 71.9%, and specificity of 68.3%0.3. In the SN group, multivariate logistic regression identified two independent risk factors for lymph node metastasis: maximum lesion diameter (p = 0.007), vascular invasion (p = 0.004). With an area under the ROC curve of 0.782, sensitivity of 96.6%, and specificity of 45.3%. The models showed excellent discrimination to predict pathological invasiveness and lymph node metastasis in patients with non-mucinous invasive lung adenocarcinoma with a maximum diameter of less than or equal to 3 cm in thin slice CT. In addition, the predictive model had predictive potential before the end of surgery and could inform clinical decision making.
Similar content being viewed by others
Abbreviations
- LC:
-
Lung adenocarcinoma
- PIF:
-
Pathological invasiveness factor group
- VI:
-
Vascular invasion
- VPI:
-
Visceral pleural invasion
- STAS:
-
Spread though air spaces
- pGNN:
-
Pure ground glass
- mGNN:
-
Mixed ground glass nodules
- VAN:
-
Cystic solid nodules
- SN:
-
Solid nodules
- CTR:
-
Consolidation tumor ratio
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Yang, Z., He, Y., Luo, M. et al. Risk factors for pathological invasiveness of non-mucinous invasive pulmonary adenocarcinoma with a maximum diameter of less than or equal to 3 cm in thin-section CT: a retrospective study. Sci Rep (2026). https://doi.org/10.1038/s41598-026-49486-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-026-49486-z


