Wang T, Gao T, Guo H, et al. - This study was conducted to establish and distinguish the MRI-based radiomics nomogram for the preoperative prediction of parametrial invasion (PMI) in individuals with early-stage cervical cancer (ECC). Researchers included a total of 137 individuals with early-stage cervical cancer (ECC) (FIGO stages IB–IIA) who underwent T2WI and DWI scans before radical hysterectomy surgery. They estimated radiomics signatures with the radiomics features which were extracted from T2WI and DWI and selected by the least absolute shrinkage and selection operation regression. It was showed that the radiomics signatures generated an AUC of 0.797 vs 0.946, and 0.780 vs 0.921 respectively in the primary and validation cohorts for T2WI and joint T2WI and DWI. In individuals with ECC, the radiomics nomogram worked well for the preoperative prediction of PMI and may be applied as a supplementary tool to implement individualized treatment plans for patients with ECC.