Nomogram based on computed tomography fractal dimension for predicting spread through air spaces in lung adenocarcinoma
The CT-based nomogram integrating FD 3D and key imaging features can noninvasively predict STAS status in stage IA lung adenocarcinoma. This model shows promise for assisting surgical decision-making, though prospective studies are needed to validate its clinical utility.
Authors
- Fang Wang (ORCID: https://orcid.org/0000-0002-5971-2622)
- Xiaomeng Shi (ORCID: https://orcid.org/0009-0008-2363-2875)
- Lili Yang
- Wei Ren
- Jiayu Ma
- Yan Li
Institutions
- General Electric (Spain) (ES)
- Ningxia Medical University (CN)
- United Imaging Healthcare (China) (CN)
- Ningxia Medical University General Hospital (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fmed.2026.1772475
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Ningxia Province