Cancers, Vol. 16, Pages 1570: Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study

Conclusions: CECT images integrated with radiomics have great potential in differentiating uterine leiomyomas from leiomyosarcomas. Such a tool can be used to mitigate the risks of eventual surgical spread in the case of leiomyosarcoma and allow for safer fertility-sparing treatment in patients with benign uterine lesions.

Source: Cancers - April 19, 2024 Category: Cancer & Oncology Authors: Miriam Santoro Vladislav Zybin Camelia Alexandra Coada Giulia Mantovani Giulia Paolani Marco Di Stanislao Cecilia Modolon Stella Di Costanzo Andrei Lebovici Gloria Ravegnini Antonio De Leo Marco Tesei Pietro Pasquini Luigi Lovato Alessio Giuseppe Morganti Tags: Article Source Type: research