Predictive Model for Breast Lesion Assessment Using Restriction Spectrum Imaging

Diffusion weighted imaging (DWI) holds great potential in improving specificity of findings detected on contrast enhanced breast MRI. Restriction spectrum imaging (RSI), an advanced diffusion imaging model, has potential in discriminating between malignant and fibroglandular breast tissue. In this abstract, we evaluate RSI’s performance, combined with a random forest model, in differentiating lesions requiring biopsies from lesions that do not. The model showed significant preliminary results.