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Abstract #1464

Automatically Quantitative Intratumoral Susceptibility Signal In Evaluating The FlOG Staging Of Ovarian Cancer Patients

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: fMRI Analysis, Quantitative Imaging, ovarian tumor

Motivation: Accurate diagnosis and staging of ovarian cancer play a key role in the selection of treatment plan, surgical method and determination of the circumference

Goal(s): Tumor intratumoral susceptibility signal (ITSS) can reflect the new growth inside the tumor
Vascular and bleeding conditions, ITSS have been widely used in many departments
Although few studies have applied this technique to ovarian cancer

Approach: Automatically quantitative ITSS prediction of clinical FIGO staging of ovarian cancer was performed by using AS (AnatomySketch 1.0) software (Dalian University of Technology)

Results: The automatic quantitative ITSS rate was significantly higher in advanced ovarian cancer than in early ovarian cancer

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 FIGO type of ovarian cancer and provide valuable information for making treatment plan and judging prognosis

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