Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

Key Points

• The deep learning model shows high diagnostic performance for identifying benign lesions and distinguishing them from malignant ones, improving accuracy in breast cancer diagnostics.
• Promising results indicate that the model can aid in the radiological assessment of breast lesions, facilitating better clinical decision-making across healthcare settings.
• Multiparametric MRI and dynamic contrast-enhanced imaging were utilized, enhancing the algorithm's ability to analyze breast lesions effectively.
• Further validation through prospective studies and multicenter trials is essential to confirm the model's effectiveness and reliability in diverse populations.