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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