ArticleCancers2021
Risk Score Generated from CT-Based Radiomics Signatures for Overall Survival Prediction in Non-Small Cell Lung Cancer.
Article in Cancers, 2021. 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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The trial behind it
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
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Performance of Machine Learning Models Based on Medical Imaging in Predicting Pathological Grade of Clear Cell Renal Cell Carcinoma.Cancer medicine · 2026Pooled it
- An umbrella review of systematic evidence on the Low Dose Computed Tomography (LDCT) for lung cancer screening.Future oncology (London, England) · 2025Pooled it
- Quality and accuracy of radiomics models in predicting KRAS status in lung cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- A two-gene prognostic model for lung adenocarcinoma using summary-data-based Mendelian randomization analysis and Cox proportional hazards regression.Future science OA · 2026Article
- Integrated radiopathomics nomogram for predicting angiogenic microvascular patterns in NSCLC: a dual-center validation study.Annals of medicine · 2026Article
- Development and multicenter validation of a predictive model for malignant pleural effusion recurrence.iScience · 2026Article
- Multimodal artificial intelligence and machine learning in oncology: from data integration to precision cancer care.Frontiers in digital health · 2026Review
- Machine Learning Prediction of Prolonged Length of Stay in Older Patients with Lung Cancer: A Multicenter Study Using XGBoost with SHAP Interpretation.Cancer management and research · 2026Article
- Gradient Boosting Machine-Based Prognostic Model with SurvSHAP Analysis for Predicting Secondary Loss of Response to Infliximab Therapy in Crohn's Disease.Drug design, development and therapy · 2026Article
- Critical dialogue: Can AI-based imaging predict tumor biology? Infer metastasis, microvascular invasion, and growth patterns from pixels.Insights into imaging · 2025Article
- Readmission After Ischemic Stroke in Ningxia, China, From 2017 to 2021: Retrospective Cohort Study.Interactive journal of medical research · 2025Article
- Recurrence-free survival prediction for anal squamous cell carcinoma after chemoradiotherapy using planning CT-based radiomics model.The British journal of radiology · 2025Article
- Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy.Radiation oncology (London, England) · 2025Observational
- Development and Validation of a Nomogram Incorporating Nutritional and Lipid Metabolism Indices to Predict Survival in Non-Small Cell Lung Cancer Patients with Malignant Pleural Effusion.Cancer management and research · 2025Article
- Exploring the impact of individual components of the Life's Essential 8 on the relationship between atherogenic index of plasma and adverse cardiovascular events: a population-based cohort study in China.Frontiers in physiology · 2025Article
- CT-based radiomics for prediction of response to neoadjuvant immunochemotherapy in patients with esophageal carcinoma.Frontiers in oncology · 2025Article
- Delta-radiomics analysis based on magnetic resonance imaging to identify radiation proctitis in patients with cervical cancer after radiotherapy.Frontiers in oncology · 2025Article
- Radiomics Signatures Based on Computed Tomography for Noninvasive Prediction of CXCL10 Expression and Prognosis in Ovarian Cancer.Cancer reports (Hoboken, N.J.) · 2024Article
- Females with diabetes have a higher risk of ischemic stroke readmission: a retrospective cohort study.BMC public health · 2024Article
- Feasibility of ultrasound radiomics based models for classification of liver fibrosis due to Schistosoma japonicum infection.PLoS neglected tropical diseases · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
This study aimed to create a risk score generated from CT-based radiomics signatures that could be used to predict overall survival in patients with non-small cell lung cancer (NSCLC). We retrospectively enrolled three sets of NSCLC patients (including 336, 84, and 157 patients for training, testing, and validation set, respectively). A total of 851 radiomics features for each patient from CT images were extracted for further analyses. The most important features (strongly linked with overall survival) were chosen by pairwise correlation analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression model, and univariate Cox proportional hazard regression. Multivariate Cox proportional hazard model survival analysis was used to create risk scores for each patient, and Kaplan-Meier was used to separate patients into two groups: high-risk and low-risk, respectively. ROC curve assessed the prediction ability of the risk score model for overall survival compared to clinical parameters. The risk score, which developed from ten radiomics signatures model, was found to be independent of age, gender, and stage for predicting overall survival in NSCLC patients (HR, 2.99; 95% CI, 2.27-3.93;
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