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May 27, 2024Radiation OncologyOpen Access

A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features

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Authors

RCRanze CaiLDLi DengHZHua Zhang

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Cite This Study

Cai et al. (2024) studied this question.

synapsesocial.com/papers/68e68498b6db64358760d413https://doi.org/10.1186/s13014-024-02453-2
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine learning prediction of axillary lymph node metastasis using multimodal ultrasound in breast cancer2026
  2. 2Integration of multi-imaging technique and immunohistochemistry for the development of a predictive nomogram for axillary lymph node metastasis in breast cancer2025
  3. 3Prediction of axillary lymph node metastasis in breast cancer based on radiomics: a multicenter study2026
  4. 4A preoperative prediction model for ipsilateral axillary lymph node metastasis of breast cancer based on clinicopathological and ultrasonography features: a prospective cohort study2025 · 2 citations
  5. 5 Prediction of axillary lymph node metastasis with the ultrasound and Magnetic Resonance Imaging features in breast cancer2024