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December 8, 2025Frontiers in EndocrinologyOpen Access

Integration of multi-imaging technique and immunohistochemistry for the development of a predictive nomogram for axillary lymph node metastasis in breast cancer

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Authors

MZMengyao ZhaoZhejiang Sci-Tech University ZDZachary M. DongZhejiang Chinese Medical University PZPengzhao ZhangLishui University

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Implication

Retrospective analysis reveals a noninvasive nomogram predicts axillary lymph node metastasis in breast cancer, suggesting improved surgical planning.

Key Points

A noninvasive nomogram predicts axillary lymph node metastasis with high accuracy, enhancing surgical precision.
Model achieved AUC values of 0.854 in training and 0.826 in validation cohorts, demonstrating robust performance.
Analysis utilized multimodal imaging features and immunohistochemistry markers to identify independent predictors.
Findings support potential reduction of unnecessary axillary interventions, warranting further multicenter validation.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/693624984fa91c937236c11c https://doi.org/10.3389/fendo.2025.1659639

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Implication

Retrospective analysis reveals a noninvasive nomogram predicts axillary lymph node metastasis in breast cancer, suggesting improved surgical planning.

Integration of multi-imaging technique and immunohistochemistry for the development of a predictive nomogram for axillary lymph node metastasis in breast cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

Integration of multi-imaging technique and immunohistochemistry for the development of a predictive nomogram for axillary lymph node metastasis in breast cancer

Discussion

Member takes

Implication

Key Points

Cite This Study

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