Comparative analysis of multi-zone peritumoral radiomics in breast cancer for predicting NAC response using ABVS-based deep learning models.

Journal: Frontiers in oncology
Published Date: Jan 1, 2025

Abstract

BACKGROUND: Peritumoral characteristics demonstrate significant predictive value for neoadjuvant chemotherapy (NAC) response in breast cancer (BC) through tumor-stromal interactions. Radiomics analysis of peritumoral regions has shown robust capability in predicting treatment outcomes; however, the optimal peritumoral thickness for maximizing predictive accuracy remains undefined.

Authors

  • Minfang Wang
    Department of Ultrasound, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
  • Wanjun Chen
    Department of Ultrasound, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
  • Ruiping Ren
    Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
  • Yuanwei Lin
    Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
  • Jiawen Tang
    Department of Pathology, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
  • Meng Wu

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