Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Journal: Nature medicine
Published Date: Aug 13, 2018

Abstract

Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'. Although these disorders are often recognizable by their symptoms, the critical means of their diagnosis is rapid imaging. Computer-aided surveillance of acute neurologic events in cranial imaging has the potential to triage radiology workflow, thus decreasing time to treatment and improving outcomes. Substantial clinical work has focused on computer-assisted diagnosis (CAD), whereas technical work in volumetric image analysis has focused primarily on segmentation. 3D convolutional neural networks (3D-CNNs) have primarily been used for supervised classification on 3D modeling and light detection and ranging (LiDAR) data. Here, we demonstrate a 3D-CNN architecture that performs weakly supervised classification to screen head CT images for acute neurologic events. Features were automatically learned from a clinical radiology dataset comprising 37,236 head CTs and were annotated with a semisupervised natural-language processing (NLP) framework. We demonstrate the effectiveness of our approach to triage radiology workflow and accelerate the time to diagnosis from minutes to seconds through a randomized, double-blinded, prospective trial in a simulated clinical environment.

Authors

  • Joseph J Titano
    Department of Radiology, Icahn School of Medicine, New York, NY, USA.
  • Marcus Badgeley
    Icahn School of Medicine at Mount Sinai, New York, USA.
  • Javin Schefflein
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Margaret Pain
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Andres Su
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Michael Cai
    Department of Radiology, Icahn School of Medicine, New York, NY, USA.
  • Nathaniel Swinburne
    Department of Radiology, Icahn School of Medicine, New York, NY, USA.
  • John Zech
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Jun Kim
    Department of Orthopedic Surgery, Icahn School of Medicine, New York, NY, USA.
  • Joshua Bederson
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • J Mocco
    Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Burton Drayer
    Department of Radiology, Icahn School of Medicine, New York, NY, USA.
  • Joseph Lehar
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Samuel Cho
    Department of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
  • Anthony Costa
    From the Departments of Radiology (J.Z., J.T., J.S., A.S.) and Neurosurgery (M.P., M.B., A.C., J.B., E.K.O.), Icahn School of Medicine, 1 Gustave Levy Pl, New York, NY 10029; and Department of Bioengineering and Bioinformatics, Boston University, Boston, Mass (J.L.).
  • Eric K Oermann
    Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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