ArticleThoracic cancer2022
Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules.
Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Density homogeneity as a crucial CT indicator for differentiating malignant and benign subcentimeter solid pulmonary nodules: A retrospective multi-center study.Insights into imaging · 2026Article
- Radiomics-machine learning model for predicting invasiveness of subcentimeter subsolid lung adenocarcinoma: a validation study with external cohort and SHAP interpretability.Frontiers in oncology · 2026Article
- Image fusion for intraoperative evaluation of microwave ablation in non-small cell lung cancer: a retrospective cohort study.Quantitative imaging in medicine and surgery · 2024Article
- Clinical value of peripheral blood miR-21 and miR-486 combined with CT forearly cancer diagnosis in pulmonary nodulessmoking.Journal of cardiothoracic surgery · 2024Article
- A prediction model based on computed tomography characteristics for identifying malignant from benign sub-centimeter solid pulmonary nodules.Journal of thoracic disease · 2024Article
- Cone-beam computed tomography image-guided percutaneous microwave ablation for lung nodules in a hybrid operating room: an initial experience.European radiology · 2024Article
- Advancements in the diagnosis and treatment of sub‑centimeter lung cancer in the era of precision medicine (Review).Molecular and clinical oncology · 2024Review
- A pretreatment prediction model of grade 3 tumors classed by the IASLC grading system in lung adenocarcinoma.BMC pulmonary medicine · 2023Article
- Correlation between CT imaging characteristics and pathological diagnosis for subcentimeter pulmonary nodules.Thoracic cancer · 2022Article
- Expression and clinical significance of CD31, CD34, and CD105 in pulmonary ground glass nodules with different vascular manifestations on CT.Frontiers in oncology · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvances in chest computed tomography (CT) have resulted in more frequent detection of subcentimeter pulmonary nodules (SCPNs), some of which are non-benign and may represent invasive lung cancer. The present study aimed to explore the correlation between pathological diagnosis and the CT imaging manifestations of SCPNs.
methodsThis retrospective study included patients who underwent pulmonary resection for SCPNs at Shandong Provincial Hospital in China. Lesions were divided into five categories according to their morphological characteristics on CT: cotton ball, solid-filled with spiculation, solid-filled with smooth edges, mixed-density ground-glass, and vacuolar. We further analyzed lesion size, enhancement patterns, vascular aggregation, and SCPN traversing. Chi-square tests, Fisher's exact tests, and Welch's one-way analysis of variance were used to examine the correlation between CT imaging characteristics and pathological type.
resultsThere were statistically significant differences in the morphological distributions of SCPNs with different pathological types, including benign lesions and malignant lesions at different stages (p < 0.01). The morphological distributions of the four subtypes of invasive lung adenocarcinoma also exhibited significant differences (p < 0.01). In addition, size and enhancement patterns differed significantly among different pathological types of SCPNs.
conclusionDifferent pathological types of SCPNs exhibit significant differences based on their morphological category, size, and enhancement pattern on CT imaging. These CT characteristics may assist in the qualitative diagnosis of SCPNs.
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