Radiomics in endometrial cancer and beyond - a perspective from the editors of the EJR

Affiliations

¹ Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Department of Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany. Electronic address: daniel.pinto-dos-santos@uk-koeln.de.

Editorial

Daniel Pinto Dos Santos. Eur J Radiol. 2022 May.

. 2022 May:150:110266.

doi: 10.1016/j.ejrad.2022.110266. Epub 2022 Mar 18.

¹ Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany; Department of Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany. Electronic address: daniel.pinto-dos-santos@uk-koeln.de.

No abstract available

Comment on

MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study.
Chen X, Wang X, Gan M, Li L, Chen F, Pan J, Hou Z, Yan Z, Wang C. Chen X, et al. Eur J Radiol. 2022 Jan;146:110072. doi: 10.1016/j.ejrad.2021.110072. Epub 2021 Nov 27. Eur J Radiol. 2022. PMID: 34861530
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients.
Mainenti PP, Stanzione A, Cuocolo R, Del Grosso R, Danzi R, Romeo V, Raffone A, Di Spiezio Sardo A, Giordano E, Travaglino A, Insabato L, Scaglione M, Maurea S, Brunetti A. Mainenti PP, et al. Eur J Radiol. 2022 Apr;149:110226. doi: 10.1016/j.ejrad.2022.110226. Epub 2022 Feb 21. Eur J Radiol. 2022. PMID: 35231806