The value of radiomics models based on DTI and DWI sequences in identifying cervical adenocarcinoma and squamous cell carcinoma

Motivation: To explore the feasibility of differentiating pathological types of cervical adenocarcinoma and squamous cell carcinoma by radiomics models based on DTI and DWI sequences. Goal(s): To explore the value of radiomics models based on DTI and DWI sequences in differentiating pathological types of cervical adenocarcinoma and squamous cell carcinoma. Approach: Based on the DTI and DWI sequence images of cervical cancer patients , this study quantitatively analyzed the differences in the radiomics feature parameters of adenocarcinoma and squamous cell carcinoma. Results: The radiomics models based on DTI and DWI sequences are valuable in differentiating the pathological types of cervical adenocarcinoma and squamous cell carcinoma. Impact: Radiomics can transform images into data that can be mining, providing a non-invasive and effective auxiliary method for determining tumor heterogeneity before clinical treatment of cervical cancer, guiding clinical practice, and enabling patients to achieve personalized diagnosis and treatment.