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Abstract #1084

Differentiation of Cervical Cancer and Pathological Type Using Quantitative Microstructural Parameters of MRI cytometry

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: Cancer, Uterus, Cervical Cancer

Motivation: Preoperative differentiation between cervical intraepithelial neoplasia (CIN) and cervical cancer (CC), along with identifying pathological type of CC, is crucial for guiding subsequent treatment.

Goal(s): To evaluate MRI cytometry-derived microstructural parameters for noninvasive differentiation of cervical lesions and prediction pathological type of CC.

Approach: MRI cytometry extracted microstructural parameters, including diameter, intracellular volume fraction (Vin), cellularity and extracellular diffusivity (Dex). Diagnostic accuracy was assessed using using one-way ANOVA, linear regression, AUC, sensitivity and specificity.

Results: Microstructural parameters showed significant differences and high diagnostic performance in identifying CIN, cervical squamous carcinoma (CSC), and adenocarcinoma (CA) groups.

Impact: For the first time, MRI cytometry demonstrated the feasibility and superior diagnostic capability in noninvasively differentiating cervical intraepithelial neoplasia (CIN) from cervical cancer (CC)and identifying CC pathological types.

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