There are many pathological types of ovarian tumors with obvious intratumoral heterogeneity.Various imaging techniques play a crucial part in the diagnosis of ovarian tumors.Radiomics-the high-throughput extraction of large amounts of image features from radiographic images,has been used in the diagnosis,staging and prognostic analysis of ovarian tumors.The nomogram models are widely used in oncology researches by integrating diverse predictors to quantify the risk of specific clinical events.The following is a systematic review of the application of nomogram model based on radiomics in the diagnosis of ovarian tumors at home and abroad,and we discussed the challenge and development prospect of this technique.