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Abstract #4281

Automatically Quantitative Intratumoral Susceptibility Signal in Predicting the Expression of Ki-67 in Ovarian cancer

Li Hao1, Ailian Liu2, Ye Li2, Qingling Song2, Yuting Shi3, Qingwei Song2, Hongkai Wang4, and Mingrui Zhuang4
1Department of Radiology, Dalian Municipal Central Hospital, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Dalian Medical University, Dalian, China, 4Dalian University of Technology, Dalian, China

Synopsis

Keywords: Pelvis, Tumor, Ki-67 antigen

Motivation: The high expression of Ki-67 in ovarian cancer was associated with lower survival rate, but its expression was only obtained after postoperative immunohistochemical staining analysis

Goal(s): Automatically quantitative Intratumoral Susceptibility Signal (ITSS) can reflect the new growth inside the tumor vascular and bleeding conditions,ITSS can obtain the expression of Ki-67 before operation, which can help clinical provide treatment plan

Approach: Automatically quantitative ITSS in predicting the expression of Ki-67 in ovarian cancer,by using AS (AnatomySketch 1.0) software (Dalian University of Technology)

Results: The rate of ITSS in patients with high Ki-67 expression was significantly higher than that in patients with low Ki-67 expression

Impact: Automatic quantitative ITSS is expected to be applied to the study of ovarian tumors and more sites in the future. ITSS can effectively predict the expression of Ki-67 in ovarian cancer and provide valuable information for making treatment plan

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