Imaging study reveals the feasibility of integrated diffusion MRI for differentiating breast cancer subtypes, highlighting a noninvasive approach to evaluate tumor prognostic factors.
Breast cancer exhibits a wide spectrum of molecular subtypes and, which has important implications in treatment strategies. In this study, we used an integrated diffusion-weighted imaging approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity – DISMANTLE – to predict molecular subtypes and prognostic factors of breast cancer. We investigated the feasibility of using the histogram features of the cellularity-, vascularity-, and heterogeneity-related parameters of DISMANTLE for differentiation between luminal-A and luminal-B and HER2+ and HER2- breast cancer.
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Karaman et al. (2024) studied this question.
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