Predicting three or more metastatic nodes using contrast-enhanced lymphatic US findings in early breast cancer

  • 0Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.

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Summary

This summary is machine-generated.

A new nomogram accurately predicts axillary lymph node metastasis in early breast cancer using contrast-enhanced lymphatic ultrasound and grayscale findings of sentinel lymph nodes. This tool aids in preoperative assessment of axillary tumor burden for better treatment decisions.

Area Of Science

  • Oncology
  • Radiology
  • Surgical Oncology

Background

  • Accurate staging of axillary lymph nodes is crucial for early breast cancer treatment decisions.
  • Sentinel lymph node biopsy (SLNB) is standard, but predicting extensive nodal involvement preoperatively remains challenging.
  • Current methods may not sufficiently identify patients with significant axillary burden, potentially leading to overtreatment or undertreatment.

Purpose Of The Study

  • To develop and validate a predictive nomogram for ≥ 3 metastatic axillary lymph nodes (ALNs) in early breast cancer.
  • To integrate clinicopathologic data with contrast-enhanced (CE) lymphatic ultrasound and grayscale findings of sentinel lymph nodes (SLNs).
  • To improve preoperative assessment of axillary tumor burden in patients without palpable adenopathy.

Main Methods

  • A prospective cohort study involving women with T1-2N0 invasive breast cancer undergoing CE lymphatic ultrasound.
  • Development and validation cohorts established from two centers (Center 1: development/internal validation; Center 2: external validation).
  • Statistical analysis using logistic regression to identify predictors and assess nomogram performance via AUC and calibration curves.

Main Results

  • CE lymphatic ultrasound findings (no enhancement, diffuse/focal eccentric cortical thickening, absent hilum) were independently associated with ≥ 3 metastatic ALNs.
  • The developed nomogram achieved a high AUC of 0.88, outperforming grayscale or CE lymphatic US alone.
  • Excellent calibration (slope 1.0) was observed in validation cohorts, indicating reliable predictions.

Conclusions

  • A nomogram combining CE lymphatic and grayscale US findings of SLNs effectively identifies early breast cancer patients with high axillary tumor burden preoperatively.
  • This tool aids in multidisciplinary treatment decision-making, particularly relevant in the context of evolving axillary staging guidelines (e.g., Z0011 trial).
  • The nomogram demonstrates high diagnostic value and applicability for preoperative risk stratification.