Convolutional Neural Network of Multiparametric MRI Accurately Detects Axillary Lymph Node Metastasis in Breast Cancer Patients With Pre Neoadjuvant Chemotherapy.

Journal: Clinical breast cancer
Published Date: Jul 13, 2021

Abstract

BACKGROUND: Accurate assessment of the axillary lymph nodes (aLNs) in breast cancer patients is essential for prognosis and treatment planning. Current radiological staging of nodal metastasis has poor accuracy. This study aimed to investigate the machine learning convolutional neural networks (CNNs) on multiparametric MRI to detect nodal metastasis with 18FDG-PET as ground truths.

Authors

  • Thomas Ren
    Department of Radiology, Stony Brook School of Medicine, Stony Brook, NY.
  • Stephanie Lin
    Department of Radiology, Montefiore Medical Center and Albert Einstein College of Medicine, New York, NY.
  • Pauline Huang
    Department of Radiology, Stony Brook School of Medicine, Stony Brook, NY.
  • Tim Q Duong
    Department of Radiology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York, United States of America.

Keywords

External Resources

Popular Topics
Recent Journals