This research develops advanced restriction spectrum imaging models for ovarian cancer while improving diagnosis accuracy and enhancing surgical planning.
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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Batasin et al. (2025) studied this question.
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