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

Mingzhe Xu; Ailing Wang; Dongqiu Shan; Xi Chen; Renzhi Zhang; Chunmiao Xu; J. Yuan; Jing Li; Guangguang An; Zhiwei Shen; Yue Wu; Funing Chu; Guang Yang; Jinrong Qu

doi:10.1186/s12880-026-02311-5

April 7, 2026BMC Medical ImagingOpen Access

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

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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.

Implication

Multimodal radiomics predicts pathological complete response in breast cancer, suggesting improved treatment personalization.

Abstract

Compared to single-modal imaging, our multimodal radiomics model provides more comprehensive biomarkers, thereby enabling personalized therapeutic decisions and optimizing NAC regimens to reduce overtreatment.

Discussion

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69d894ad6c1944d70ce05a93 https://doi.org/10.1186/s12880-026-02311-5

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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

Implication

Abstract

Discussion

Cite This Study

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

Implication

Abstract

Discussion

Cite This Study

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