Histogram Analysis of Apparent Diffusion Coefficient on DiffusionWeighted Magnetic Resonance Imaging in Differentiation between Lowand High Grade Serous Ovarian Cancer

作者：He Zhang, Xuefen Liu, Tianping Wang, Yida Wang, Jue Wang, Jun Jin, Guofu Zhang · 发表于：Current Medical Imaging Formerly Current Medical Imaging Reviews · 年份：2022 · DOI：10.2174/1573405618666220517101012 · 被引用次数：7 · 研究领域：Ovarian cancer diagnosis and treatment、MRI in cancer diagnosis、Endometrial and Cervical Cancer Treatments

BACKGROUND: Ovarian cancer is a leading cause of death in gynecological malignancies. Being the most common subtype in OEC, ovarian serous cancer also includes two subtypes: low grade serous ovarian cancer (LGSC) and high grade serous ovarian cancer (HGSC) (1). PURPOSE: The study aims to assess the capability of apparent diffusion coefficient (ADC) histogram analysis and conventional measurements on magnetic resonance imaging (MRI) in differentiating between LGSC and HGSC. METHODS: We retrospectively recruited 38 patients with pathologically proven ovarian serous epithelial cancer. The mean ADC value was measured by one technician using two methods on post-processed workstation. The ADC value and histogram parameter difference between LGSC and HGSC groups were compared. The correlation between the ADC value and the Ki-67 expression was calculated across both groups. RESULTS: significantly differed between both groups (p < 0.001). The value of ADC-area correlated inversely with ki-67 expression in the whole group (Pearson coefficient = -0.382, p = 0.02). The 3D computerized-diagnostic model had the best discriminative performance in determining HGSC than 2D and conventional ADC measurements. The 3D model yielded a sensitivity of 100%, a specificity of 95.45%, and an accuracy of 97.73%. CONCLUSION: In the present study, the 3D ADC histogram model help differentiate HGSC from LGSC with a better performance than conventional ADC measurements.