A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study

SIMPLE SUMMARY: Accurate prediction of the risk of endometrial cancer (EC) recurrence is crucial to identify the best treatment and achieve the most favorable outcome. Currently, no model is available to predict this recurrence risk using pre-surgical computed tomography (CT) scans. This pilot study...

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Detalles Bibliográficos
Autores principales: Coada, Camelia Alexandra, Santoro, Miriam, Zybin, Vladislav, Di Stanislao, Marco, Paolani, Giulia, Modolon, Cecilia, Di Costanzo, Stella, Genovesi, Lucia, Tesei, Marco, De Leo, Antonio, Ravegnini, Gloria, De Biase, Dario, Morganti, Alessio Giuseppe, Lovato, Luigi, De Iaco, Pierandrea, Strigari, Lidia, Perrone, Anna Myriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526953/
https://www.ncbi.nlm.nih.gov/pubmed/37760503
http://dx.doi.org/10.3390/cancers15184534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526953/
https://www.ncbi.nlm.nih.gov/pubmed/37760503
http://dx.doi.org/10.3390/cancers15184534

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