ORIGINAL RESEARCH
Accepted on 17 Oct 2025
Development and Validation of Machine Learning Models for Predicting STAS in Stage I Lung Adenocarcinoma with Part-Solid and Solid Nodules: A Two-Center Study
doi 10.3389/fonc.2025.1682633
- Frontiers in Oncology
- Thoracic Oncology
- Research Topics
- Advancing Diagnostic Excellence in Early Lung Cancer Detection
Advancing Diagnostic Excellence in Early Lung Cancer Detection
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Articles
CASE REPORT
Published on 15 Oct 2025
Rosai-Dorfman disease mimicking lung cancer: a case report
doi 10.3389/fonc.2025.1663537
- 214 views
ORIGINAL RESEARCH
Published on 09 Oct 2025
Active breathing coordinator combines with custom-designed puncture needle improves diagnostic accuracy of ≤20 mm pulmonary nodules under CT-guidance: a real world prospective study
doi 10.3389/fonc.2025.1675444
- 648 views
REVIEW
Published on 24 Sep 2025
Lung cancer associated with cystic airspaces: current progress and future perspectives
doi 10.3389/or.2025.1615365
- 996 views
ORIGINAL RESEARCH
Published on 17 Sep 2025
Machine learning assisted breathomic approach for early-stage thoracic cancer detection
doi 10.3389/fonc.2025.1635280
- 1,092 views
ORIGINAL RESEARCH
Published on 20 Aug 2025
Elevated FDG uptake in non-tumorous lung regions does not predict immune checkpoint inhibitor–related pneumonitis in lung cancer patients
doi 10.3389/fonc.2025.1563030
- 1,648 views
ORIGINAL RESEARCH
Published on 28 May 2025
Predictive model of malignancy probability in pulmonary nodules based on multicenter data
doi 10.3389/fonc.2025.1588147
- 1,055 views
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