ReviewTranslational cancer research2023
Advances in the prediction of spread through air spaces with imaging in lung cancer: a narrative review.
Review in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of radiomics analysis for pulmonary cancer airway spread: a systematic review and meta-analysis.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Pooled it
- Factors predicting spread through air spaces (STAS) preoperative for T1a-b non-small cell lung cancer.Discover oncology · 2026Review
- Artificial Intelligence in Lung Cancer: A Narrative Review of Recent Advances in Diagnosis, Biomarker Discovery, and Drug Development.Pharmaceutics · 2026Review
- 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
- AI-based prediction of pathological risk factors in lung adenocarcinoma from CT imaging: bridging innovation and clinical practice.Frontiers in oncology · 2025Review
- CT-based whole lung radiomics nomogram for identification of PRISm from non-COPD subjects.Respiratory research · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: In 2015, the World Health Organization (WHO) officially defined spread through air spaces (STAS) as the fourth type of lung adenocarcinoma (ADC) invasion. STAS is recognized to have effects on the survival rate and the prognosis of patients who have received lung cancer surgery. Given that postoperative pathological diagnosis is the gold standard for STAS diagnosis, but the pathological findings cannot guide the selection of preoperative surgical plan, it is essential to accurately predict STAS before surgery to achieve optimal outcomes. Methods: A comprehensive, non-systematic review of the latest literature was carried out in order to define the advancement of imaging in predicting STAS. PubMed database was being examined and the last run was on 27 June 2022. Key Content and Findings: In this review, the definition and the clinical significance of predicting STAS for lung cancer patients were being discussed. By summarizing the STAS prediction efficacy from imaging-related research, the results suggest that computed tomography (CT), 18-fluorine-fluorodeoxyglucose positron emission tomography/CT ( Conclusions: STAS is an important invasion type of lung cancer, affecting the survival prognosis of patients. Preoperative CT and
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Registered trials
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.