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September 10, 2025BMC Medical ImagingOpen Access

A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI

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Authors

YYYunqing YangZWZhulin WangHWHaidong Wang

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Overview

Retrospective analysis predicts SLN metastasis in breast cancer patients, suggesting non-invasive alternatives to biopsy.

Key Points

  • The nomogram accurately predicts sentinel lymph node metastasis with an AUC of 0.847, indicating high discriminatory power.
  • Key predictors include tumor size on MRI, multifocality, and MRI-BIRADS classification, which were identified through logistic regression.
  • Risk stratification developed using recursive partitioning analysis categorized patients into low-, intermediate-, and high-risk groups.
  • This model may reduce unnecessary sentinel lymph node biopsies in low-risk patients, highlighting its clinical significance.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68c1cc4054b1d3bfb60f4ac6https://doi.org/10.1186/s12880-025-01890-z
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Also Consider

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

  1. 1Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging—a systematic review and meta-analysis2025
  2. 2Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging—a systematic review and meta-analysis2025 · 1 citations
  3. 3Predictors of Sentinel Lymph Node Metastasis and External Validation of the MSKCC Nomogram in Breast Cancer: A Retrospective Single-Center Cohort Study2026
  4. 4Predicting sentinel lymph node metastasis in breast cancer using an interpretable machine learning approach based on multi-domain clinical features2026
  5. 5A new prediction nomogram of non-sentinel lymph node metastasis in cT1-2 breast cancer patients with positive sentinel lymph nodes2024 · 5 citations