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Contrast-Enhanced Computed Tomography-Based Machine Learning Radiomics Predicts IDH1 Expression and Clinical Prognosis in Head and Neck Squamous Cell Carcinoma
Key Words Isocitrate dehydrogenase 1 Head and neck squamous cell carcinoma Radiomics Machine learning Prognosis INTRODUCTION Head and neck cancer (HNC) ranks as the sixth most common cancer worldwide, affecting over 890,000 individuals and contributing to 450,000 cancer-related deaths annually (1). HPV infections and tobacco and alcohol use are primary risk factors for HNC, with over 90% being squamous cell carcinomas (HNSCC) (2,3).
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