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Abstract #2696

Restriction Spectrum Imaging Models for Ovarian Cancer Using High-Resolution DWI

Summer Joyce Batasin1, Nidhi Patel1, Hon J Yu1, Stephane Loubrie1, Sheida Ebrahimi1, Catherine Moran2, Tyler Seibert3, Cynthia Santillan1, Michael McHale4, Ana Rodriguez-Soto5, and Rebecca Rakow-Penner1,5
1Radiology, UC San Diego, La Jolla, CA, United States, 2Radiology, Ohio State University, Columbus, OH, United States, 3Radiation Oncology, UC San Diego, La Jolla, CA, United States, 4Obstetrics, Gynecology, & Reproductive Sciences, UC San Diego, La Jolla, CA, United States, 5Bioengineering, UC San Diego, La Jolla, CA, United States

Synopsis

Keywords: Cancer, Pelvis, Ovaries

Motivation: Diffusion-weighted Imaging (DWI) has been added to standard ovarian MRI protocols to improve lesion characterization. Restriction spectrum imaging (RSI) is an advanced DWI model which may improve pre-surgical evaluation of ovarian lesions.

Goal(s): To develop ovarian-specific, multi-exponential RSI models which differentiate benign, borderline, and malignant ovarian lesions.

Approach: Bi-, tri-, and tetra-exponential RSI models were calculated using high-resolution DWI data from 12 pathology-confirmed ovarian lesions. Relative Bayesian Information Criterion (ΔBIC), fitting residuals, and compartment maps were used to identify the model which best characterized ovarian signal.

Results: The tetra-exponential RSI model best described ovarian diffusion signal across lesion types.

Impact: An ovarian-specific RSI model can enhance the utility of DWI in ovarian MRI, improve pre-surgical assessment, and most importantly, allow for the consideration of less radical surgical approaches for the management of ovarian lesions.

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