What does this research mean for the field?

A multimodal deep learning approach integrating pre-treatment dynamic contrast-enhanced MRI and clinical data via contrastive alignment accurately predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and evaluate a multimodal deep learning model integrating pre-treatment dynamic contrast-enhanced MRI and clinical features to predict pathologic complete response prior to neoadjuvant chemotherapy in breast cancer.

August 29, 2026Journal of Digital ImagingOpen Access

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer

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Authors

MGManu GoyalMallinckrodt (United States)TSTanmay Shukla SHSaeed HassanpourDartmouth College

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Implication

Multi-cohort study demonstrates enhanced prediction of pathologic complete response in breast cancer patients, suggesting utility for guiding pre-treatment therapy choices.

Key Points

To develop and evaluate a multimodal deep learning model integrating pre-treatment dynamic contrast-enhanced MRI and clinical features to predict pathologic complete response prior to neoadjuvant chemotherapy in breast cancer.
Trained an AI architecture on N=1,491 patients across four clinical trial cohorts using expert tumor segmentations.
Combined attention-based multiple instance learning for MRI slice aggregation with a self-supervised contrastive learning objective to align imaging and clinical embeddings.
Achieved an AUC of 0.83 (95% CI 0.78–0.89) on a stratified hold-out test set.
Outperformed standard late fusion models lacking contrastive alignment as well as single-modality baselines.

Cite This Study

Goyal et al. (2026) studied this question.

synapsesocial.com/papers/6a9299088e5d7d1fc0c10c46 https://doi.org/10.1007/s10278-026-02188-4

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Implication

Multi-cohort study demonstrates enhanced prediction of pathologic complete response in breast cancer patients, suggesting utility for guiding pre-treatment therapy choices.

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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