Leveraging Artificial Intelligence and Radiomics for Improved Nasopharyngeal Carcinoma Prognostication.

Patients predicted to have LRR (high‐risk group) by LDA models utilising radiomics had significantly worse LRR‐free survival ( p = 0.04), and this was highly significant for a model combining both clinical and radiomics features ( p < 0.01) (Figure 4A ).

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Similarly, patients predicted to have LRR had poorer overall survival, where this only reached significance for the combined model ( p < 0.01) although a trend towards significance was observed for a model using only radiomics features ( p = 0.06) (Figure 4B ). 4.

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