Cervical Computed Tomography Angiography Rarely Leads to Intervention in Patients With Cervical Spine Fractures

Conor John Dunn1, Stuart Changoor1, Kimona Issa1

  • 1Department of Orthopaedic Surgery, St. Joseph's University Medical Center, Paterson, NJ, USA.

Global Spine Journal
|September 3, 2020
PubMed

Insights

Computed tomography angiography (CTA) helps identify vertebral artery injury (VAI) in cervical spine fractures. Upper cervical fractures (C1-C3) are associated with higher VAI risk, though interventions remain rare.

Area of Science:

  • Radiology
  • Neurosurgery
  • Trauma Surgery

Background:

  • Cervical spine fractures pose significant risks, including potential vertebral artery injury (VAI).
  • Computed tomography angiography (CTA) is a key imaging modality for evaluating these injuries.
  • Identifying high-risk fractures for VAI is crucial for appropriate patient management.

Purpose of the Study:

  • To assess the utility of CTA in managing trauma patients with cervical spine fractures.
  • To identify patient subgroups at higher risk for VAI.
  • To determine the rate of subsequent surgical or procedural interventions following VAI diagnosis.

Main Methods:

  • Retrospective cohort study of trauma patients with cervical spine fractures who underwent CTA.
  • Inclusion based on institutional protocol (modified Denver criteria) and scout CT findings.
  • Analysis of VAI presence, fracture location, and neurological deficits; statistical analysis including odds ratios.

Main Results:

  • 144 patients included; 17.4% had VAI.
  • VAI was significantly associated with upper cervical fractures (C1-C3) (80% of VAI cases).
  • Only 1.4% of patients with VAI underwent intervention; 31.3% with VAI and neurological deficits had deficits attributable to VAI.

Conclusions:

  • CTA is valuable for detecting VAI in cervical spine fractures.
  • Upper cervical fractures (C1-C3) are strong predictors of VAI.
  • VAI should be considered in unexplained neurological deficits, but interventions are infrequent.
Abstract

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