Wenjun JUN Hu1, Ailian Liu1, Ye Li1, Hongkai Wang2, Mingrui Zhuang2, and Qingwei Song1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian University of Technology, Dalian, China
R2* and automatically
quantitative ITSS had good performance in differentiating between
MOTs and OOTs. The combination of the two parameters improved the differential
diagnosis efficiency.
Figure 2. A 47-year-old female with left
ovarian cancer. (1a) T2WI image; (1b) R2* map; (1c) phase map; (1d) tumor was
delineated around the edge of the tumor; (1e) AS software recognized
quantitatively and automatically ITSS ratio by reading phase maps. ITSS
recognized were covered in green.
Table
2. Area under curve (AUC), sensitivities, specificities of R2*, ITSS and the combination
of the two parameters for differentiation between MOTs and OOTs groups