Preoperative Differentiation of Uterine Sarcoma from Leiomyoma: Comparison of Three Models Based on Different Segmentation Volumes Using Radiomics

This study aimed to explore that if the segmentation of different volume of interests (VOIs) may influence the diagnostic performance of radiomic model. We included 78 patients with pathologically confirmed uterine sarcomas or atypical leiomyomas. 3 different VOIs were manually drawn on images of ADC maps. Radiomic models were built based on three feature set. Features extracted from VOI covered the whole uterus had the best diagnostic performance than VOI covered the lesion or lesion and some surrounded tissue. It suggested VOI covered the whole uterus added relevant information for distinguishing uterine sarcoma from atypical leiomyoma.