ArticleJournal of thoracic disease2021
Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.
Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- CT radiomics based model for differentiating malignant and benign small (≤20mm) solid pulmonary nodules.Frontiers in oncology · 2025Article
- Integrating multimodal features to predict the malignancy of pulmonary ground-glass nodules: a multicenter prospective model development and validation study.Frontiers in oncology · 2025Article
- A prediction model based on computed tomography characteristics for identifying malignant from benign sub-centimeter solid pulmonary nodules.Journal of thoracic disease · 2024Article
- Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules.Biomedical engineering online · 2023Article
- Radiomics and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly.Diagnostics (Basel, Switzerland) · 2023Article
- Feature selection methods and predictive models in CT lung cancer radiomics.Journal of applied clinical medical physics · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate evaluation of pulmonary nodule malignancy is important for lung cancer management. This current study aimed to develop risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.
methodsThis study enrolled 5-20 mm pulmonary nodules detected on thoracic high-resolution computed tomography (HRCT), which were all confirmed pathologically. There were 548 solid nodules (242 malignant
resultsLung cancer risk models were developed among four nodule groups: all nodules (410 benign
conclusionsPredictive models based on both clinical and radiomics features can be used to assess the malignancy of small solid and subsolid pulmonary nodules, even for nodules that are 10 mm or smaller.
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Registered trials
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