ArticleJCO clinical cancer informatics2025
Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non-Small Cell Lung Cancer.
Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Prognostic Significance of Preoperative PET-CT SUVmax in Resected Non-Small Cell Lung Cancer: A Single-Center Retrospective Study.Medicina (Kaunas, Lithuania) · 2026Article
- An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma viaBMC medical informatics and decision making · 2025Article
- Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks.BMC cancer · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo comprehensively analyze the association between preoperative maximum standardized uptake value (SUV PATIENTS AND
methodsThis retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest model were developed to predict postoperative recurrence. Model performance was evaluated using the receiver operating characteristic (ROC) AUC and concordance index (C-index). Shapley additive explanations (SHAP) and partial dependence plots (PDPs) were used to interpret model predictions and quantify feature importance. The relationship between SUV
resultsThe random forest model showed the highest predictive performance (ROC AUC, 0.90; 95% CI, 0.86 to 0.97). The SHAP analysis identified SUV
conclusionPreoperative SUV
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Registered trials
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