• Bi Cong Yan, Ying Li, Feng Hua Ma, Feng Feng, Ming Hua Sun, Guang Wu Lin, Guo Fu Zhang, and Qiang Jin Wei JW 0000-0002-6327-1401 Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China..
• Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
• J Magn Reson Imaging. 2020 Dec 1; 52 (6): 1872-1882.

BackgroundHigh- and low-risk endometrial cancer (EC) differ in whether lymphadenectomy is performed. Assessment of high-risk EC is essential for planning surgery appropriately.PurposeTo develop a radiomics nomogram for high-risk EC prediction preoperatively.Study TypeRetrospective.PopulationIn all, 717 histopathologically confirmed EC patients (mean age, 56 years ± 9) divided into a primary group (394 patients from Center A), validation groups 1 and 2 (146 patients from Center B and 177 patients from Centers C-E).Field Strength/Sequence1.5/3T scanners; T2 -weighted imaging, diffusion-weighted imaging, apparent diffusion coefficient, and contrast enhancement sequences.AssessmentA radiomics nomogram was generated by combining the selected radiomics features and clinical parameters (metabolic syndrome, cancer antigen 125, age, tumor grade following curettage, and tumor size). The area under the curve (AUC) of the receiver operator characteristic was used to evaluate the predictive performance of the radiomics nomogram for high-risk EC. The surgical procedure suggested by the nomogram was compared with the actual procedure performed for the patients. Net benefit of the radiomics nomogram was evaluated by a clinical decision curve (CDC), net reclassification index (NRI), and integrated discrimination improvement (IDI).Statistical TestsBinary least absolute shrinkage and selection operator (LASSO) logistic regression, linear regression, and multivariate binary logistic regression were used to select radiomics features and clinical parameters.ResultsThe AUC for prediction of high-risk EC for the radiomics nomogram in the primary group, validation groups 1 and 2 were 0.896 (95% confidence interval [CI]: 0.866-0.926), 0.877 (95% CI: 0.825-0.930), and 0.919 (95% CI: 0.879-0.960), respectively. The nomogram achieved good net benefit by CDC analysis for high-risk EC. NRIs were 1.17, 1.28, and 1.51, and IDIs were 0.41, 0.60, and 0.61 in the primary group, validation groups 1 and 2, respectively.Data ConclusionThe radiomics nomogram exhibited good performance in the individual prediction of high-risk EC, and might be used for surgical management of EC.Level Of Evidence4 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1872-1882.© 2020 International Society for Magnetic Resonance in Medicine.

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