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Abstract #3891

Classification of Benign Ovarian Lesions and Epithelial Ovarian Cancer Subtypes Using MRI Cytometry-Derived Microstructural Parameters

Wenyi Yue1, Ruxue Han2, Dandan Zheng3, Hua Li2, and Qi Yang1
1Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 2Department of Gynecology and Obstetrics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China, 3Clinical & Technique Support, Philips Healthcare, Beijing, China

Synopsis

Keywords: Microstructure, Cancer, Ovarian Cancer

Motivation: Preoperative differentiation between benign ovarian lesions and epithelial ovarian cancers (EOCs), and further subclassification type I and II EOCs, is essential for guiding treatment.

Goal(s): To evaluate MRI cytometry-derived microstructural parameters for noninvasive differentiating benign ovarian lesions and EOCs, and between type I and II EOCs.

Approach: MRI cytometry extracted microstructural parameters, including diameter, intracellular volume fraction, cellularity and extracellular diffusivity. Diagnostic abilities were evaluated using unpaired two-tailed t-tests, linear regression, AUC, sensitivity and specificity.

Results: Microstructural parameters showed significant differences and strong diagnostic performance for distinguishing benign ovarian lesions from EOCs and differentiating type I and II EOCs.

Impact: For the first time, MRI cytometry demonstrated high feasibility and diagnostic accuracy for non-invasively distinguishing benign ovarian lesions from epithelial ovarian cancers (EOCs) and further differentiating between type I and II EOCs.

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