A Deep Learning Model for Comprehensive Automated Bone Lesion Detection and Classification on Staging Computed Tomography Scans.

Journal: Academic radiology
Published Date: Jul 8, 2025

Abstract

RATIONALE AND OBJECTIVES: A common site of metastases for a variety of cancers is the bone, which is challenging and time consuming to review and important for cancer staging. Here, we developed a deep learning approach for detection and classification of bone lesions on staging CTs.

Authors

  • Benjamin D Simon
    Molecular Imaging Branch, NCI, NIH, Bethesda, Maryland, USA (B.D.S., K.M.M., S.A.H., E.C.Y., P.L.C., B.T.); Institute of Biomedical Engineering, Department Engineering Science, University of Oxford, UK (B.D.S.).
  • Stephanie A Harmon
    Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, USA.
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Mason J Belue
    Medical Research Scholars Program Fellow, Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Ziyue Xu
    Center for Infectious Disease Imaging (CIDI), Radiology and Imaging Science Department, National Institutes of Health (NIH), Bethesda, MD 20892, United States.
  • Jesse Tetreault
    NVIDIA Corporation, Bethesda, Maryland, USA.
  • Peter A Pinto
    Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Bradford J Wood
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Deborah E Citrin
    Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
  • Ravi A Madan
    Genitourinary Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA (W.L.D., R.A.M.).
  • Daguang Xu
    NVIDIA, Santa Clara, CA, USA.
  • Peter L Choyke
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • James L Gulley
    Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Keywords

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