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

Share

  • 1

    A multimodal ultrasound model was developed to predict axillary lymph node metastasis in breast cancer using tumor radiomics and lymph node morphology.

  • 2

    The study included 583 patients with confirmed breast cancer, divided into training and testing cohorts for model validation.

  • 3

    The combined model achieved an AUC of 0.90 for predicting ALN metastasis, significantly improving upon the radiomics model's AUC of 0.79.

  • 4

    Ki-67 was identified as an independent predictor, with the combined model performing well across Ki-67 subgroups.

  • 5

    The proposed model aims to enhance noninvasive prediction of ALN metastasis and tumor burden, supporting individualized treatment planning.

Original Source(s)

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

Related Content

25HC regulates the polarization of CD163+ macrophages in the immune microenvironment of triple-negative breast cancer through the interferon pathway

Diagnosis and treatment of breast cancer metastasis to thyroid: a case report and literature review

HiGATE: hierarchical graph attention for multi-scale tissue encoder in computational pathology