Application of radiomics in head and neck squamous cell carcinoma.

[ 61 ] were among the first to explore the use of texture features derived from gray-level co-occurrence matrices (GLCM) to predict radiation-induced trismus and achieved favorable diagnostic performance (AUC = 0.78), although the results did not reach statistical significance.

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