Multimodal radiomics for early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer: integration of amide proton transfer weighted imaging in radiomics

Key Points

• This research aims to enhance the prediction of treatment outcomes in breast cancer using a multimodal radiomics approach.
• Developed a multimodal radiomics model integrating various imaging techniques.
• Compared the effectiveness of this model against traditional single-modal imaging.
• Analyzed biomarkers related to treatment response after neoadjuvant chemotherapy.
• The multimodal model significantly improved prediction accuracy compared to single-modal approaches.
• Early identification of patients likely to achieve a complete response was achieved.
• Findings support personalized therapy choices to reduce unnecessary treatments.

Abstract