A multimodal ultrasound-based model combining tumor radiomics and axillary lymph node morphologic classification for predicting axillary nodal burden in breast cancer - Scorecard - MDSpire

A multimodal ultrasound-based model combining tumor radiomics and axillary lymph node morphologic classification for predicting axillary nodal burden in breast cancer

  • By

  • Renjie Lu

  • Taiyu Yang

  • Linlin Pan

  • Linlin Shao

  • Lili Zhang

  • Fangfang Sun

  • Jie Du

  • Lirong Zhao

  • June 4, 2026

  • 0 min

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Clinical Scorecard: An Integrated Ultrasound Model Utilizing Tumor Radiomics and Axillary Lymph Node Morphological Assessment for Predicting Nodal Involvement in Breast Cancer

At a Glance

CategoryDetail
Condition
Key MechanismsIntegration of tumor radiomics and axillary lymph node morphological assessment (source needed)
Target PopulationPatients with pathologically confirmed breast cancer (source needed)
Care Setting

Key Highlights

  • Developed a multimodal ultrasound-based model for predicting axillary nodal metastasis burden (source needed)
  • Achieved AUC of 0.90 for predicting ALN metastasis with combined model (source needed)
  • Identified Ki-67 as an independent predictor of nodal burden (source needed)
  • Model performed consistently across Ki-67 subgroups (source needed)

Guideline-Based Recommendations

Diagnosis

  • Utilize ultrasound imaging for assessment of axillary lymph node involvement (source needed)
  • Incorporate radiomic features and ALN morphological classification in evaluations (source needed)

Management

  • Consider omitting axillary lymph node dissection in selected patients with limited nodal burden (source needed)

Monitoring & Follow-up

  • Monitor axillary nodal status preoperatively to guide treatment decisions (source needed)

Risks

  • Be aware of complications from sentinel lymph node dissection, including numbness and lymphedema (source needed)

Patient & Prescribing Data

583 patients with pathologically confirmed breast cancer

Integration of imaging features may improve preoperative risk assessment

Clinical Best Practices

  • Employ multimodal approaches for accurate preoperative assessment of ALN status (source needed)
  • Utilize non-invasive imaging techniques (source needed)

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Original Source(s)

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