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October 2, 2025Frontiers in OncologyOpen Access

A preoperative prediction model for ipsilateral axillary lymph node metastasis of breast cancer based on clinicopathological and ultrasonography features: a prospective cohort study

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Authors

XGXinyi GuoCentral European Institute of TechnologyYLYue LingSichuan UniversityYPYulan PengSichuan University

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Implication

Prospective cohort study develops a nomogram for predicting axillary lymph node status, suggesting enhanced diagnosis accuracy.

Key Points

  • The nomogram demonstrated strong discrimination with an AUC of 0.854 in the training set, indicating reliable prediction of axillary lymph node metastasis.
  • Clinical features like tumor infiltration and lymph node characteristics were identified as independent predictors of axillary lymph node metastasis.
  • This prospective cohort study employed binary logistic regression analyses to develop a predictive model based on clinicopathological and ultrasonography features.
  • The developed nomogram provides good agreement between predicted and observed probabilities, enhancing clinical decision-making.

Cite This Study

Guo et al. (2025) studied this question.

synapsesocial.com/papers/68de6f3683cbc991d0a2232chttps://doi.org/10.3389/fonc.2025.1536984
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