Keywords: Diagnosis/Prediction, Uterus, endometrial cancer; lymph node; nomogram
Motivation: Routinely MRI can’t assess lymph node metastasis (LNM) status in endometrial cancer (EC) accurately.
Goal(s): This study aimed to investigate whether the MRI radiomics model can predict LNM status in EC.
Approach: 313 EC patients who underwent preoperative MRI were recruited with the status of LNM confirmed by pathology. 2880 radiomic features were extracted and three models including a clinical model, a radiomics model and a combined model were built.
Results: Area under the receiver operating characteristic curves showed all of the three models can predict LNM and the combined model showed the best discrimination ability on the training set and test set.
Impact: This study built an accurate preoperative and non-invasive model to assess lymph node metastasis status in endometrial cancer. It could help doctors to determine the extent of lymphadenectomy and provide useful information for prognosis prediction and treatment decision.
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