Reduced field-of-view DWI‑derived clinical–radiomics model for the prediction of stage in cervical cancer

Abstract

Key points Radiomics features extracted from sagittal rFOV DWI were valuable in staging CC. Clinical factors including age and menopausal status were important predictors in staging CC. The clinical–radiomics model combining rFOV DWI-derived radiomics with clinical features is of great potential for staging CC, outperforming the radiological model.

Keywords

• Cervical cancer
• Diffusion-weighted imaging
• Tumor staging
• Radiomics