ArticleOncotarget2017
Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Incidence and risk factors for malignancy in patients with incidental solitary pulmonary nodules: a systematic review and meta-analysis.Annals of medicine · 2026Pooled it
- The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- The Epidemiology of Ground Glass Opacity Lung Adenocarcinoma: A Network-Based Cumulative Meta-Analysis.Frontiers in oncology · 2020Pooled it
- The effect of radio-frequency ablation in treating pulmonary ground glass nodule patients and its influence on pulmonary function.African health sciences · 2024Trial
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- Optimizing Layer Thickness in Multi-Planar Volume Reconstruction for Distinguishing Invasive Adenocarcinoma from Non-Invasive and Minimally Invasive Lesions in Pulmonary Nodules (≤15 mm): A Comparative Study with Conventional Lung Window Settings.Diagnostics (Basel, Switzerland) · 2026Article
- Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model.NPJ digital medicine · 2025Article
- Bio-interpretable ensemble learning model for invasive pulmonary adenocarcinoma grade using CT and histopathology images.NPJ precision oncology · 2025Article
- Effect of spatial resolution on the diagnostic performance of machine-learning radiomics model in lung adenocarcinoma: comparisons between normal- and high-spatial-resolution imaging for predicting invasiveness.Japanese journal of radiology · 2025Article
- Assessment of intratumor heterogeneity for preoperatively predicting the invasiveness of pulmonary adenocarcinomas manifesting as pure ground-glass nodules.Quantitative imaging in medicine and surgery · 2025Article
- Developing a predictive model and uncovering immune influences on prognosis for brain metastasis from lung carcinomas.Frontiers in oncology · 2025Article
- Radiologic Parameters Predicting the Histologic Invasiveness of Pure Ground-Glass Nodules.Annals of thoracic surgery short reports · 2024Article
- Growth assessment of pure ground-glass nodules on CT: comparison of density and size measurement methods.Journal of cancer research and clinical oncology · 2023Article
- [Diagnostic Study of Multi-spectral Intelligent Analyzer in Diagnosis of the Infiltration Degree of Lung Adenocarcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Article
- CT-based three-dimensional invasiveness analysis of adenocarcinoma presenting as pure ground-glass nodules.Translational cancer research · 2023Article
- A narrative review of the clinical approach to subsolid pulmonary nodules.Annals of translational medicine · 2023Review
- Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas.Insights into imaging · 2023Article
- Article
- CT imaging indications correlate with the degree of lung adenocarcinoma infiltration.Frontiers in oncology · 2023Article
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15 authors.
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Abstract
purposeTo construct a preoperative nomogram to differentiate invasive pulmonary adenocarcinomas (IPAs) from preinvasive lesions in patients with solitary pure ground-glass nodules (GGN).
methodsA primary cohort of patients with pathologically confirmed pulmonary solitary pure GGN after surgery were retrospectively studied at five institutions from January 2009 to September 2015. Half of the patients were randomly selected and assigned to a model-development cohort, and the remaining patients were assigned to a validation cohort. A nomogram predicting the invasive extent of the solitary GGNs was constructed based on the independent risk factors. Predictive performance was evaluated by concordance index (C-index) and calibration curve.
resultsOut of 898 cases included in the study, 501 (55.8%) were preinvasive lesions and 397 (44.2%) were IPAs. In the univariate analysis, lesion size (p < 0.001), lesion margin (p = 0.041), lesion shape (p < 0.001), mean computed tomography (CT) value (p = 0.018), presence of pleural indentation (p = 0.017), and smoking status (p = 0.014) were significantly associated with invasive extent. In multivariate analysis, lesion size (p < 0.001), lesion margin (p = 0.042), lesion shape (p < 0.001), mean CT value (p = 0.014), presence of pleural indentation (p = 0.026), and smoking status (p = 0.004) remained the predictive factors of invasive extent. A nomogram was developed and validation results showed a C-index of 0.94, demonstrating excellent concordance between predicted and observed results.
conclusionsWe established and validated a novel nomogram that can identify IPAs from preinvasive lesions in patients with solitary pure GGN.
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