ArticleThe Journal of thoracic and cardiovascular surgery2018
Computed tomography features of resected lung adenocarcinomas with spread through air spaces.
Article in The Journal of thoracic and cardiovascular surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.
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Who cites it
74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 107 citations in OpenAlex.
- Analysis of Individual Patient Data Demonstrates that Sublobar Resection Followed by Adjuvant Chemotherapy has Equivalent Prognosis to Lobectomy in Patients with Stage I NSCLC with Spread through Air Spaces.Annals of surgical oncology · 2026Pooled it
- Meta-analysis of association between CT-based features and tumor spread through air spaces in lung adenocarcinoma.Journal of cardiothoracic surgery · 2020Pooled it
- Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study.Diagnostic and interventional radiology (Ankara, Turkey) · 2023Trial
- Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma.Scientific reports · 2022Trial
- Nodule subtype dependency of CT-based radiomics for preoperative prediction of spread through air spaces in stage I lung adenocarcinoma: a multi-centre study.Quantitative imaging in medicine and surgery · 2026Article
- Diagnostic performance of spectral CT quantitative parameters in predicting spread through air spaces of lung adenocarcinoma.Quantitative imaging in medicine and surgery · 2026Article
- Segmentectomy vs Lobectomy for Peripheral Early-Stage Non-Small Cell Lung Cancer in Patients With Radiologically High Risk Tumors.Annals of thoracic surgery short reports · 2026Article
- Dual-layer spectral CT for predicting spread through air spaces in lung adenocarcinoma: a dual-center study.European radiology · 2026Article
- The Role of Histology in Predicting Spread Through Air Spaces (STAS) in Non-Small Cell Lung Cancer.Journal of personalized medicine · 2026Article
- Machine learning-based preoperative prediction of spread through air spaces in clinical stage IA non-small cell lung cancer: a single-center study integrating clinical and CT imaging characteristics.Journal of thoracic disease · 2026Article
- STAS More than a Prognostic Marker-An Evolving Factor in Operative and Adjuvant Treatment Decisions in Early-Stage NSCLC.Cancers · 2026Review
- Imaging advances of predicting spread through air spaces (STAS) in lung cancer: a narrative review.Journal of thoracic disease · 2026Review
- Factors predicting spread through air spaces (STAS) preoperative for T1a-b non-small cell lung cancer.Discover oncology · 2026Review
- Nomogram combining spectral dual-layer detector CT radiomics and deep learning features predicts alveolar tumor spread.Frontiers in oncology · 2026Article
- Article
- Lobar versus sub-lobar resection for clinical stage IA (≤ 2 cm) lung neuroendocrine tumor with spread through air spaces: a multi-center study.Updates in surgery · 2025Article
- Multidisciplinary Perspective of Spread Through Air Spaces in Lung Cancer: A Narrative Review.Cancers · 2025Review
- There Is More Than Meets the Eye With Ground Glass Nodules: Is It Too Early to Adopt Sublobar Resection as Standard of Care for Early Stage Lung Adenocarcinoma?Thoracic cancer · 2025Article
- Predicting spread through air space of lung adenocarcinoma based on deep learning and machine learning models.Journal of cardiothoracic surgery · 2025Article
- CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
14 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpread through air spaces (STAS) is a recently recognized invasive pattern of lung cancer defined as "micropapillary clusters, solid nests, or single cells beyond the edge of the tumor into air spaces." Since STAS has been shown to be a significant prognosticator for the postoperative survival, predicting STAS preoperatively by computed tomography (CT) might help determine the optimum surgical procedures.
methodsInformation on STAS and preoperative CT was available in 327 patients with resected lung adenocarcinomas. STAS was defined as tumor cells within air spaces in the lung parenchyma beyond the edge of the main tumor. The association of STAS with CT characteristics, such as vascular convergence, ground-glass opacity (GGO), air bronchogram, notch, pleural indentation, spiculation, and cavitation, was analyzed.
resultsAmong the 327 patients with resected adenocarcinoma, 191 (58.4%) were positive for STAS. A univariable analysis demonstrated that STAS-positive adenocarcinomas were significantly associated with a larger radiologic tumor diameter (P = .02), the presence of vascular convergence (P < .01), notch (P < .01), pleural indentation (P = .03), spiculation (P < .01), and the absence of GGO (P < .01) compared with STAS-negative ones. In a multivariable analysis, the presence of notch (P = .01) and the absence of GGO (P < .01) were shown to be significantly associated with the STAS phenomenon. The odds ratio for STAS of notch-positive and GGO-negative adenocarcinomas against notch-negative and GGO-positive ones was 5.01 (P < .01).
conclusionsThe presence of notch and the absence of GGO were independently associated with the STAS phenomenon. These results will prove helpful in identifying STAS-positive adenocarcinoma by CT before surgical resection.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.