Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

Journal: AJR. American journal of roentgenology
Published Date: Dec 12, 2018

Abstract

OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination, thus providing a proof of concept for potentially using deep learning to diagnose nodal involvement.

Authors

  • Hiram Shaish
    1 Department of Radiology, Columbia University Medical Center, 630 W 168th St, New York, NY 10016.
  • Simukayi Mutasa
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Jasnit Makkar
    1 Department of Radiology, Columbia University Medical Center, 630 W 168th St, New York, NY 10016.
  • Peter Chang
    Department of Urology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Lawrence Schwartz
    1 Department of Radiology, Columbia University Medical Center, 630 W 168th St, New York, NY 10016.
  • Firas Ahmed
    1 Department of Radiology, Columbia University Medical Center, 630 W 168th St, New York, NY 10016.

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