Development of an Algorithm To Differentiate Uterine Sarcoma From Fibroid Using MRI and LDH Levels
Abstract This study aimed to establish an evaluation method for detecting uterine sarcoma with 100% sensitivity using MRI and serum LDH levels. One evaluator reviewed the MRI images and LDH values of a total of 1801 cases, including 36 cases of uterine sarcoma and 1765 cases of uterine fibroids. The reproducibility of the algorithm was also examined using a test set of 61 cases, including 14 cases of uterine sarcoma, by four evaluators with different imaging experience and abilities. From the MRI images and LDH values of 1801 cases of uterine sarcoma and uterine fibroid, we found that all sarcomas were included in the group with high T2WI and either high T1WI, unclear margin, or high LDH value. In addition, when cases with DWI were examined, all sarcomas had high DWI. Among the 36 sarcoma cases, the group with positive findings in T2WI, T1WI, margin, and serum LDH levels all had a poor prognosis (p = 0.015). The reproducibility of the algorithm was examined by four evaluators, and the sensitivity of sarcoma detection ranged from 71–93%. We established an algorithm that is not uterine sarcoma if tumors in the myometrium with low T2WI and DWI.