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Background
The purpose of this study was to explore preliminary the performance of radiomics machine learning models based on multimodal MRI to predict the risk of cervical lymph node metastasis (CLNM) for oral tongue squamous cell carcinoma (OTSCC) patients.
Methods
A total of 400 patients were enrolled in this study and divided into six groups according to the different combinations of MRI sequences...