U.S., Aug. 20 -- ClinicalTrials.gov registry received information related to the study (NCT07129005) titled 'Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids' on Aug. 03.
Brief Summary: This retrospective case-control study aims to develop and validate a diagnostic model based on multimodal big data and artificial intelligence to differentiate uterine leiomyoma from uterine sarcoma. Investigators will extract historical case data from existing inpatient and outpatient records, including medical history, physical and gynecological examination findings, MRI imaging data, laboratory results, and pathological records. The study seeks to address the question of whether integrating diverse retrospective clinical ...