Dahua Cui1, Ailian Liu1, 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
The combination of quantitative ITSS and R2* was feasible to evaluate the histological grade of HCC automatically.
Figure 3. Receiving operating characteristic (ROC) analysis showed the performance of ITSS combined with R2* in evaluating HCC histological grading, with an AUC of 0.856, sensitivity of 88.89%, specificity of 69.44% .
Figure 2. A 62 year-old male with poorly-differentiated HCC in the right lobe of the liver. (a) T2WI image; (b) phase map; (c) tumor was delineated around the edge of the tumor; (d) AS software recognized quantitatively and automatically ITSS ratio by reading phase maps. ITSS recognized were covered in green.