What question did this study set out to answer?

This research aims to determine whether radiomics and deep learning models can predict outcomes for advanced non-small cell lung cancer in patients treated with immunotherapy and stereotactic radiotherapy.

May 24, 2026Scientific ReportsOpen Access

Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy

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Authors

GKG. KothariPeter MacCallum Cancer Centre NHN. HardcastleThe University of Melbourne RPR. PereraThe University of Queensland

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Implication

Randomized trial investigates predictive power of radiomics and deep learning in advanced lung cancer treatment, suggesting differences in model performance.

Key Points

This research aims to determine whether radiomics and deep learning models can predict outcomes for advanced non-small cell lung cancer in patients treated with immunotherapy and stereotactic radiotherapy.
Utilized data from randomized trials: PEMBRO-RT, NIVORAD, and MDACC
Developed random forest and deep learning models to assess predictive outcomes based on radiomics features
Conducted external validation of models on different trial data sets.
Deep learning model achieved an AUC of 0.92 for predicting per-lesion progressive disease, surpassing the random forest model's AUC of 0.57.
Improvement in overall survival prediction with a concordance index of 0.67 after adding clinical features.
External validation resulted in reduced AUCs, indicating lower predictive performance in different datasets.

Cite This Study

Kothari et al. (2026) studied this question.

synapsesocial.com/papers/6a1295ae48a0ea1665671db3 https://doi.org/10.1038/s41598-026-53520-5

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Implication

Randomized trial investigates predictive power of radiomics and deep learning in advanced lung cancer treatment, suggesting differences in model performance.

Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy

Discussion

Member takes

Implication

Key Points

Cite This Study

Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy

Discussion

Member takes

Implication

Key Points

Cite This Study

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