Developing a Radiomics-Based Model to Differentiate Uterine Sarcoma and Myoma Using CT Scans Single-Center Observational Study

What this Trial Is About

Researchers are studying uterine sarcomas and uterine myomas to improve diagnosis before surgery. Uterine sarcomas are rare and aggressive tumors with a high risk of recurrence and death, while uterine myomas are common benign tumors that may require treatment if symptomatic. Current imaging methods like MRI and CT have limitations in distinguishing these two conditions preoperatively, and accurate diagnosis usually happens after surgery with histological examination. This study explores using radiomics, a technique that extracts detailed data from CT images, to help differentiate between sarcoma and myoma before surgery and guide personalized treatment decisions. The study involves analyzing CT scans taken within 30 days before surgery from patients diagnosed with either uterine sarcoma or myoma. Radiomics features will be extracted from these images to develop a model for differential diagnosis. Patients are followed according to the clinical care pathway at the study center, and informed consent is obtained. No new treatments or interventions are administered as this is an observational study focusing on imaging data analysis. Participants will have preoperative CT scans evaluated for quality and diagnostic features. Researchers will perform ROC analysis to assess how well the radiomics model can distinguish between sarcomas and myomas. Data will be collected and analyzed over six months to measure diagnostic accuracy. The study does not involve additional procedures beyond routine imaging and clinical follow-up, and patients continue their usual care during and after the study period.

Construction of a Model for the Differential Diagnosis of SArcoma/myoma Based on the RAdiomics Features: Single-center Observational Study