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September 10, 2025Cancer MedicineOpen Access

Multimodal Deep Learning Integrating Tumor Radiomics and Mediastinal Adiposity Improves Survival Prediction in Non‐Small Cell Lung Cancer: A Prognostic Modeling Study

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Prognostic modeling improves survival prediction in non-small cell lung cancer patients, suggesting a role for mediastinal adiposity.

The multimodal model significantly improves overall survival prediction in non-small cell lung cancer patients, enhancing current prognostic models.
The model achieved C-indices of 0.823 for overall survival and 0.803 for disease-free survival during internal validation.
Analysis utilized retrospective data from 702 NSCLC patients, combining tumor radiomics with mediastinal adiposity metrics for enhanced prediction.
Kaplan-Meier analysis indicated significant survival differences between high- and low-risk patient cohorts based on predicted outcomes.

Niu et al. (2025) studied this question.

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