ArticleBMC cancer2021
Histopathologic features from preoperative biopsies to predict spread through air spaces in early-stage lung adenocarcinoma: a retrospective study.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- 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
- 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
- CT-based intratumoral habitat and peritumoral radiomics model to predict spread through air spaces in solid lung adenocarcinoma with diameter ≤ 2 cm: a dual-center study.Frontiers in oncology · 2026Article
- Correlations and prognostic impacts of tumor spread through airspaces in surgically resected non-small cell lung cancer: a retrospective study from Jordan.Journal of pathology and translational medicine · 2026Article
- Impact of robotic and non-robotic approach on spread through air spaces in early-stage lung cancer.Journal of robotic surgery · 2025Article
- Predicting spread through air space of lung adenocarcinoma based on deep learning and machine learning models.Journal of cardiothoracic surgery · 2025Article
- Lung Stereotactic Body Radiotherapy (SBRT): Challenging Scenarios and New Frontiers.Journal of clinical medicine · 2025Review
- CT-based intratumoral and peritumoral radiomics nomogram to predict spread through air spaces in lung adenocarcinoma with diameter ≤ 3 cm: A multicenter study.European journal of radiology open · 2025Article
- Nomogram model for the preoperative prediction of spread through air spaces in sub-centimeter non-small cell lung cancer.Journal of cardiothoracic surgery · 2025Article
- Article
- Development and validation of a predictive model combining radiomics and deep learning features for spread through air spaces in stage T1 non-small cell lung cancer: a multicenter study.Frontiers in oncology · 2025Article
- A validated model to predict spread through air space in lung adenocarcinoma.Journal of thoracic disease · 2024Article
- CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer.Journal of imaging informatics in medicine · 2024Article
- The effect of spread through air spaces on postoperative recurrence-free survival in patients with multiple primary lung cancers.World journal of surgical oncology · 2024Article
- Impact of surgical margin after sublobar resection of lung cancer: a narrative review.Journal of thoracic disease · 2023Review
- Advances in the prediction of spread through air spaces with imaging in lung cancer: a narrative review.Translational cancer research · 2023Review
- Retrospective analysis of the prognostic implications of tumor spread through air spaces in lung adenocarcinoma patients treated with surgery.ESMO open · 2022Observational
- To explore the prognostic value of spread through air spaces and develop a nomogram combined with spread through air spaces in lung squamous cell carcinoma.Journal of thoracic disease · 2022Article
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4 authors.
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Abstract
backgroundAlthough spread through air spaces (STAS) is a robust biomarker in surgically resected lung cancer, its application to biopsies is challenging. Moreover, limited resection is not an effective treatment for STAS-positive lung adenocarcinoma. This study aimed to identify histologic features from preoperative percutaneous transthoracic needle biopsies (PTNBs) to predict STAS status in the subsequently resected specimens, and thus help in selecting the surgical extent.
methodsBetween January 2014 and December 2015, 111 PTNB specimens and subsequent resection specimens from consecutive lung adenocarcinoma patients were retrospectively examined. Histopathologic features of PTNB specimens and presence of STAS in subsequent resection specimens were evaluated and correlations between them were analyzed statistically.
resultsThe study participants had a mean age of 59 years (range, 35-81) and included 50 men and 61 women. Thirty-six patients were positive for STAS whereas 75 were negative. The micropapillary/solid histologic subtypes of lung adenocarcinoma (26 of 39; 66.7%; P < 0.001), necrotic/tumor debris (31 of 42; 73.8%; P < 0.001), intratumoral budding (ITB) (20 of 33; 60.6%; P < 0.001), desmoplasia (35 of 41; 85.4%; P < 0.001), and grade 3 nuclei (12 of 14; 85.7%; P < 0.001) were more common in STAS-positive tumors. Micropapillary/solid histologic subtype (OR, 1.35; 95% CI: 1.06, 1.67), ITB (OR, 1.64; 95% CI: 1.09, 2.83), desmoplasia (OR, 1.83; 95% CI: 1.36, 3.12), and N stage (N1 stage: OR, 1.37; 95% CI: 1.19, 1.87) (N2 stage: OR, 1.29; 95% CI: 1.07, 1.73) were independent predictors of STAS.
conclusionsMicropapillary/solid histologic subtype, ITB, and desmoplasia in preoperative PTNB specimens were independently associated with STAS in the subsequent resection specimens. Therefore, these can predict STAS and may help to optimize therapeutic planning.
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