Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study.

Journal: The American surgeon
Published Date: Dec 31, 2020

Abstract

BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; however, determining response to therapy is difficult. Artificial intelligence allows for novel analysis of images. We hypothesized that a deep learning model can predict tumor response to NAC.

Authors

  • Michael D Watson
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Maria R Baimas-George
    Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, 2351Atrium Health, Charlotte, NC, USA.
  • Keith J Murphy
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Ryan C Pickens
    Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, 2351Atrium Health, Charlotte, NC, USA.
  • David A Iannitti
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • John B Martinie
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Erin H Baker
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Dionisios Vrochides
    Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Lee M Ocuin
    Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, 2351Atrium Health, Charlotte, NC, USA.

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