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Abstract #0897

Diagnostic Value of Time-Dependent Diffusion MRI in Differentiating Endometrial Cancer

Jing Yang1, Qiu Bi1, Meining Chen2, Thorsten Feiweier 3, and Bo Wang1
1The First People’s Hospital of Yunnan Provence, Kunming, China, 2MR Research Collaboration, Siemens Healthineers Ltd, Chengdu, China, 3MR Research and Clinical Translation, Siemens Healthineers AG, Erlangen, Germany

Synopsis

Keywords: Diffusion Modeling, Microstructure, td-dMRI, OGSE, PGSE

Motivation: Precise diagnosis of endometrial cancer (EC) is essential to avoid unnecessary treatments and optimize patient outcomes. Current methods lack specificity in distinguishing benign from malignant lesions non-invasively.

Goal(s): This study assesses time-dependent diffusion MRI's ability to differentiate EC from normal endometrial tissue, focusing on microstructural imaging biomarkers.

Approach: A cohort of 22 patients underwent MRI using OGSE and PGSE sequences, and the diagnostic value of parameters like Vin and cellularity was evaluated.

Results: Vin showed the highest diagnostic performance (AUC 0.867), followed by cellularity (AUC 0.829), demostrating their potential as reliable indicators of EC.

Impact: Time-dependent diffusion MRI can non-invasively reveal microstructural characteristics of endometrial cancer, potentially improving diagnostic accuracy and informing preoperative planning, which may reduce invasive procedures and enhance treatment decision-making.

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Keywords