Added value of diffusion tensor magnetic resonance imaging in prediction of luminal versus non-luminal breast cancer: Correlation with pathological data

Key Points

• Luminal breast cancer distinctions were effectively predicted using diffusion tensor imaging alongside pathological data.
• Patients with differing breast cancer types showed a notable correlation of 85% in imaging outcomes.
• Assessment using diffusion tensor magnetic resonance imaging provided insights into structural differences in breast tissue.
• May enable improved diagnostic approaches in differentiating breast cancer subtypes; external validation needed.