A 2D threshold of the condylar-C1 interval to maximize identification of patients at high risk for atlantooccipital

Vijay Ravindra1, Jay Riva-Cambrin2, Kevin Horn3

  • 1Division of Pediatric Neurosurgery, Department of Neurosurgery, Primary Children's Hospital, University of Utah, Salt Lake City, Utah

Insights

A new 2D measurement threshold for the occipital condyle-C1 interval (CCI) on CT scans can accurately identify children with atlantooccipital dislocation (AOD) while minimizing unnecessary imaging.

Area of Science:

  • Radiology
  • Pediatric Imaging
  • Trauma Imaging

Background:

  • Atlantooccipital dislocation (AOD) is a critical injury in pediatric trauma.
  • Accurate measurement of the occipital condyle-C1 interval (CCI) is vital for AOD diagnosis.
  • Existing diagnostic thresholds for CCI in pediatric trauma require refinement.

Purpose of the Study:

  • To identify a 2D measurement threshold for CCI on cervical spine CT scans that maximizes diagnostic yield in pediatric trauma patients.
  • To evaluate the effectiveness of this threshold in identifying AOD.
  • To correlate CCI measurements with patient age.

Main Methods:

  • Retrospective single-center study of pediatric patients undergoing cervical spine CT for trauma.
  • Bilateral CCI measurements recorded in coronal and sagittal planes.
  • Iterative method used to determine optimal 2D CCI cutoffs for AOD prediction.

Main Results:

  • A total of 597 pediatric patients (578 without AOD, 19 with AOD) were analyzed.
  • A significant correlation was found between CCI and age (p < 0.001), with younger children having higher CCIs.
  • A 2D threshold (sagittal CCI ≥ 2.5 mm and coronal CCI ≥ 3.5 mm) predicted AOD with 95% sensitivity and 99% negative predictive value, achieving 84% accuracy.

Conclusions:

  • Age-dependent differences in CCI exist in pediatric patients.
  • A 2D CCI threshold serves as an effective screening tool for AOD in pediatric trauma.
  • This threshold aids in identifying high-risk patients and reducing unnecessary imaging.

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