ArticleDiagnostic and interventional radiology (Ankara, Turkey)2023
Multivariate analysis based on the maximum standard unit value of
Article in Diagnostic and interventional radiology (Ankara, Turkey), 2023. 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.
- CT-based nomogram for estimating visceral pleural invasion in solid pulmonary adenocarcinoma nodules with pleural contact: a retrospective single-center study.BMC medical imaging · 2026Article
- Integrating radiomics features and CT semantic characteristics for predicting visceral pleural invasion in clinical stage Ia peripheral lung adenocarcinoma.Discover oncology · 2025Article
- Effect of respiratory phase on three-dimensional quantitative parameters of pulmonary subsolid nodules in low-dose computed tomography screening for lung cancer.Journal of thoracic disease · 2025Article
- AI-driven 3D CT imaging prediction model for improving preoperative detection of visceral pleural invasion in early-stage lung cancer.PloS one · 2025Article
- CT imaging-based nomogram for predicting pleural invasion in non-small cell lung cancer.American journal of translational research · 2025Article
- Preoperative nomogram for predicting spread through air spaces in clinical-stage IA non-small cell lung cancer usingJournal of cancer research and clinical oncology · 2024Article
- Using the length of pleural tag to predetermine pleural invasion by lung adenocarcinomas.Frontiers in oncology · 2024Article
- Predicting visceral pleural invasion in lung adenocarcinoma presenting as part-solid density utilizing a nomogram model combined with radiomics and clinical features.Thoracic cancer · 2024Article
- Correlations between iodine uptake, invasive CT features and pleural invasion in adenocarcinomas with pleural contact.Scientific reports · 2023Article
- Risk analysis of visceral pleural invasion in malignant solitary pulmonary nodules that appear touching the pleural surface.Therapeutic advances in respiratory diseaseArticle
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Authors and funding
6 authors.
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Abstract
purposePreoperative prediction of visceral pleural invasion (VPI) is important because it enables thoracic surgeons to choose appropriate surgical plans. This study aimed to develop and validate a multivariate logistic regression model incorporating the maximum standardized uptake value (SUV
methodsA total of 140 patients with subpleural clinical stage IA peripheral lung adenocarcinoma were recruited and divided into a training set (n = 98) and a validation set (n = 42), according to the positron emission tomography/CT examination temporal sequence, with a 7:3 ratio. Next, VPI-positive and VPI-negative groups were formed based on the pathological results. In the training set, the clinical information, the SUV
resultsThe size of the solid component, the consolidation-to-tumor ratio, the solid component pleural contact length, the SUVmax, the density type, the pleural indentation, the spiculation, and the vascular convergence sign demonstrated significant differences between VPI-positive (n = 40) and VPI-negative (n = 58) cases on univariate analysis in the training set. A multivariate logistic regression model incorporated the SUV
conclusionThe nomogram integrating the SUV
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