Factors predicting spread through air spaces (STAS) preoperative for T1a–b non-small cell lung cancer
Spread through air spaces (STAS) is a critical factor affecting the prognosis of lung cancer patients and has potential to guide surgical decision-making. Clinical trials have shown that lobectomy reduces recurrence risk more effectively than sub lobectomy in STAS-positive patients. However, STAS diagnosis currently relies on postoperative pathology, and there is a lack of accurate preoperative diagnostic methods. Preoperative prediction of STAS status remains an unmet need. We systematically searched 8 databases (Chinese: CBM, CNKI, WanFang Data, VIP; English: PubMed, Cochrane Library, Web of Science, Embase) from January 2015 to December 2023 using both Chinese and English search terms. Chinese terms included “airspace dissemination”, “lung cancer”, “prediction”; English terms included “spread through air spaces”, “STAS”, “prediction”, “Stage IA Lung cancer”, “Lung Neoplasms [Mesh]”. Retrospective comparative studies analyzing preoperative indicators and postoperative STAS pathological results were included. Literature quality was assessed using the Newcastle-Ottawa Scale (NOS), and data were extracted with RevMan 5.4. Meta-analysis was performed using Stata-64 software. A total of 17 studies involving 5053 patients were included, with 1942 STAS-positive (STAS+) and 3111 STAS-negative (STAS-) patients. Quantitative analysis showed that STAS was significantly associated with preoperative spiculation (OR 3.73, 95%CI 2.24–6.21, p < 0.01), lobulation (OR 3.20, 95%CI 2.47–4.15, p < 0.01), pleural indentation (OR 2.14, 95%CI 1.71–2.68, p < 0.01), cavitation (OR 2.06, 95%CI 1.51–2.83, p < 0.01), and consolidation tumor ratio (CTR) (OR 4.87, 95%CI 3.29–7.22, p < 0.01). Preoperative imaging characteristics including spiculation, lobulation, pleural indentation, cavitation, and CTR can effectively predict STAS status in early-stage lung cancer. These indicators provide valuable references for surgeons in selecting appropriate surgical methods for early non-small cell lung cancer patients.
Authors
- Shunfu Deng
- Changshan Song (ORCID: https://orcid.org/0000-0003-3437-4943)
- Hui Hu (ORCID: https://orcid.org/0000-0002-1628-4410)
- Kaixi Liu
- Minqian Huang
- Zhaoqian Lin
- Yao Xiao
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Foshan University (CN)
- Guangdong Medical College (CN)
- Foshan Hospital of TCM (CN)
- Foshan Municipal Government (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1007/s12672-026-04545-9
- Primary Topic
- Pleural and Pulmonary Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00