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Abstract #2560

Time-dependent diffusion MRI for microstructural mapping to distinguish high-grade serous ovarian cancer and serous borderline ovarian tumor

Yuwei Cao1, Yao Lu1, Shan Huang2, Xiance Zhao2, Feiyun Wu1, and Ting Chen1
1The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Philips Healthcare, Shanghai, China

Synopsis

Keywords: Microstructure, Diffusion/other diffusion imaging techniques, microstructure, IMPULSED

Motivation: The intraoperative frozen sections have shortcomings in distinguishing between high-grade serous ovarian cancer (HGSOC) and serous borderline ovarian tumor (SBOT). Time-dependent diffusion MRI (td-dMRI) can depict the microstructural parameters of tumors and might play a role in preoperative differentiation of HGSOC from SBOT.

Goal(s): To investigate the value of td-dMRI in discriminating HGSOC from SBOT.

Approach: Td-dMRI uses the combination of oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) sequences. Td-dMRI signals were fitted by the IMPULSED model, to extract microstructural parameters. The diagnostic performance was evaluated.

Results: Microstructural parameters derived from td-dMRI had good diagnostic performance in differentiating HGSOC from SBOT.

Impact: Time-dependent diffusion MRI can depict the microstructural parameters of tumors. It may further assist in preoperative diagnosis and treatment decision-making in clinical practice in the future.

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