Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence.

Journal: American journal of surgery
Published Date: Nov 1, 2021

Abstract

BACKGROUND: The presence of nodal metastases is important in the treatment of papillary thyroid carcinoma (PTC). We present our experience using a convolutional neural network (CNN) to predict the presence of nodal metastases in a series of PTC patients using visual histopathology from the primary tumor alone.

Authors

  • Antoinette R Esce
    Department of Surgery, Division of Otolaryngology Head and Neck Surgery, MSC10 5610, University of New Mexico, Albuquerque, NM, 87131, USA. Electronic address: AEsce@salud.unm.edu.
  • Jordan P Redemann
    Department of Pathology, MSC08 4640, University of New Mexico, Albuquerque, NM, 87131, USA.
  • Andrew C Sanchez
    Department of Pathology, MSC08 4640, University of New Mexico, Albuquerque, NM, 87131, USA.
  • Garth T Olson
    Department of Surgery, Division of Otolaryngology Head and Neck Surgery, MSC10 5610, University of New Mexico, Albuquerque, NM, 87131, USA.
  • Joshua A Hanson
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.
  • Shweta Agarwal
    Department of Pathology, MSC08 4640, University of New Mexico, Albuquerque, NM, 87131, USA.
  • Nathan H Boyd
    Department of Surgery, Division of Otolaryngology Head and Neck Surgery, MSC10 5610, University of New Mexico, Albuquerque, NM, 87131, USA.
  • David R Martin
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

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