ArticleFrontiers in surgery2023
Analysis of the correlation between clinical and imaging features of malignant lung nodules and pathological types.
Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Risk factors for the growth of ground-glass nodules in the lungs: A systematic review and meta-analysis.Clinics (Sao Paulo, Brazil) · 2025Pooled it
- Application of transformer attention mechanism-based multimodal deep learning model in the diagnosis of papillary thyroid carcinoma.BMC medical imaging · 2026Article
- Diagnostic value of magnetic resonance imaging in preoperative evaluation of cervical cancer and analysis of pathological features.Oncology letters · 2026Article
- Predictive value of CT target scan-based radiomics and clinical features for patients with chronic obstructive pulmonary disease combined with malignant pulmonary nodules.Biomedical engineering online · 2026Article
- Imaging Features of Lung Ground-Glass Nodules and Their Correlation With Biological Behavior.Cureus · 2025Review
- Blood biomarkers to predict the efficacy of neoadjuvant chemo-immunotherapy in non-small cell lung cancer patients.Translational lung cancer research · 2024Article
- Pathological and imaging features of pulmonary invasive mucinous adenocarcinoma-a retrospective cohort study.Translational lung cancer research · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
Introduction: To explore the correlation between clinical and imaging features of malignant lung nodules and pathology types. Methods: Patients with lung nodules admitted to the Affiliated Hospital of Jiangsu University from January 1, 2020 to December 31, 2020 were collected as study subjects, and all of them underwent surgical treatment and were clearly diagnosed by pathology. The correlation between clinical and imaging features and pathological types of lung cancer patients was analyzed. Results: Among them, The pathological types of malignant pulmonary nodules are correlated with age, gender, smoking history, ground glass sign, nodule size, solid to solid ratio, lobulation sign, pleural indentation sign, hair prick sign, CEA, SCCA. The imaging features of ground glass sign and nodule size are most significantly correlated with the pathological type. Conclusion: It was found that, the clinical and imaging characteristics of patients with malignant lung nodules have a certain correlation with the pathological type, and gender, age, smoking history, nodule size, nodule nature, burr sign, pleural depression sign, and tumor markers are of great value for pathological typing.
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