Does alignment alone predict mechanical complications after adult spinal deformity surgery? A machine learning comparison of alignment, bone quality, and soft tissue.

Journal: Neurosurgical focus
Published Date:

Abstract

OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surgery. While achieving ideal spinal alignment in ASD surgery is critical, alignment alone may not fully explain all mechanical complications. The authors sought to determine which combination of inputs produced the most sensitive and specific machine learning model to predict mechanical complications using postoperative alignment, bone quality, and soft tissue data.

Authors

  • Sameer Sundrani
    Modeling and Simulation/Clinical Pharmacology, Genentech, South San Francisco, CA.
  • Derek J Doss
    1Departments of Biomedical Engineering.
  • Graham W Johnson
    1Departments of Biomedical Engineering.
  • Harsh Jain
    College of Computing Sciences and IT, Teerthanker Mahaveer University, Moradabad, 244001, India.
  • Omar Zakieh
    4Orthopedic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee; and.
  • Adam M Wegner
    5OrthoVirginia, Arlington, Virginia.
  • Julian G Lugo-Pico
    3Departments of Neurological Surgery and.
  • Amir M Abtahi
    3Departments of Neurological Surgery and.
  • Byron F Stephens
    3Departments of Neurological Surgery and.
  • Scott L Zuckerman
    Department of Orthopaedics, Columbia University Medical Center, The Och Spine Hospital at New York-Presbyterian, New York, NY, USA.