Research progress on the application of machine learning-based magnetic resonance imaging radiomics in pa-tients with tongue squamous cell carcinoma
Tongue squamous cell carcinoma is a subtype of oral squamous cell carcinoma with a high incidence.Because this region involves complex anatomical structure and rich lymphatic reflux,it has a high rate of cervical lymph node me-tastasis and a poor prognosis.As a solid tumor,conventional imaging methods often can not reflect its internal heterogene-ity clearly.Radiomics can reflect the intra-tumor heterogeneity by extracting advanced quantitative imaging features in a high-through manner,and can be used for further analysis by integrating machine learning,which is used to develop im-age feature classification or prediction models related to tumor phenotype or gene-protein features,aiding clinical deci-sion making.In this paper,the research progress on the application of machine learning-based magnetic resonance imag-ing(MRI)radiomics was reviewed,concerning the prediction of the degree of pathological differentiation,cervical lymph node metastasis,effect and prognosis of tongue squamous cell carcinoma in recent years,in order to provide refence for precision medicine of patients with tongue squamous cell carcinoma.
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