Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm.

Journal: Neurosurgical focus
Published Date: Apr 1, 2022

Abstract

OBJECTIVE: Damage to the thoracolumbar spine can confer significant morbidity and mortality. The Thoracolumbar Injury Classification and Severity Score (TLICS) is used to categorize injuries and determine patients at risk of spinal instability for whom surgical intervention is warranted. However, calculating this score can constitute a bottleneck in triaging and treating patients, as it relies on multiple imaging studies and a neurological examination. Therefore, the authors sought to develop and validate a deep learning model that can automatically categorize vertebral morphology and determine posterior ligamentous complex (PLC) integrity, two critical features of TLICS, using only CT scans.

Authors

  • Sophia A Doerr
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Carly Weber-Levine
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Andrew M Hersh
  • Tolulope Awosika
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Brendan Judy
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Yike Jin
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Divyaansh Raj
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Ann Liu
    1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore.
  • Daniel Lubelski
  • Craig K Jones
    2Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore; and.
  • Haris I Sair
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N. Caroline St., Room 4223, Baltimore, MD, 21287, USA.
  • Nicholas Theodore
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Orthopaedic Surgery & Biomedical Engineering, Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: theodore@jhmi.edu.

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