Radiomics is a promising methodology that automatically extracts high-dimensional features from imaging data for supplementary evaluation of prognosis. Herein, we developed radiomic signature based on pretreatment MRI, which can be used as a biomarker for risk stratification for disease-free survival (DFS) in patients with early-stage cervical cancer. This study provides a non-invasive and cost-effective preoperative predictive tool to identify the early stage cervical cancer patients with high possibility of recurrence or metastasis; and they may help to determine whether more intensive observation and aggressive treatment regimens should be administered, aim at assisting clinical treatment and healthcare decisions.
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