Maura Miccò, Benedetta Gui, Luca Russo, Luca Boldrini, Jacopo Lenkowicz, Stefania Cicogna, Francesco Cosentino, Gennaro Restaino, Giacomo Avesani, Camilla Panico, Francesca Moro, Francesca Ciccarone, Gabriella Macchia, Vincenzo Valentini, Giovanni Scambia, Riccardo Manfredi, Francesco Fanfani
OBJECTIVE: To develop and validate magnetic resonance (MR) imaging-based radiomics models for high-risk endometrial cancer (EC) prediction preoperatively, to be able to estimate deep myometrial invasion (DMI) and lymphovascular space invasion (LVSI), and to discriminate between low-risk and other categories of risk as proposed by ESGO/ESTRO/ESP (European Society of Gynaecological Oncology-European Society for Radiotherapy & Oncology and European Society of Pathology) guidelines. METHODS: This retrospective study included 96 women with EC who underwent 1...
November 7, 2022: Journal of Personalized Medicine