Accuracy of Cervical Spine CT for Detection of Craniocervical Junction Ligamentous Injury in Children

Stephen F Kralik1, Yasmin Akbari2, Thierry A G M Huisman2

  • 1From the Texas Children's Hospital, Baylor College of Medicine, Division of Neuroradiology, Edward B. Singleton Department of Radiology, Houston, Texas and Swedish Radia Hospital, Seattle, WA. sfkralik@texaschildrens.org.

Insights

Combining CT findings significantly improves diagnostic accuracy for pediatric craniocervical junction ligamentous injuries. This approach offers high sensitivity and specificity for detecting these critical injuries in children.

Area of Science:

  • Radiology
  • Pediatric Imaging
  • Orthopedic Surgery

Background:

  • Craniocervical junction (CCJ) ligamentous injuries in children are challenging to diagnose.
  • Cervical spine CT is widely used in trauma, but its accuracy for CCJ ligamentous injury requires evaluation.

Purpose of the Study:

  • To assess the diagnostic accuracy of cervical spine CT in detecting ligamentous injuries of the craniocervical junction in pediatric patients.
  • To compare CT findings with MRI as the gold standard for CCJ ligamentous injury diagnosis.

Main Methods:

  • Retrospective review of pediatric trauma patients (<21 years) with cervical spine CT and MRI.
  • Analysis of CCJ measurements on CT (e.g., BDI, ADI, PAAD) and presence of fractures/hemorrhage.
  • Calculation of diagnostic accuracy using MRI-confirmed ligamentous injury as the gold standard.

Main Results:

  • 193 pediatric patients included; 28% had CCJ ligamentous injury on MRI.
  • Individual CT measurements, fractures, and hemorrhage showed low sensitivity but high specificity.
  • Combining one or more abnormal CT findings yielded high diagnostic accuracy (AUC=0.86-0.91), with 84-96% sensitivity and 78-95% specificity.

Conclusions:

  • The combination of CT measurements, fracture, and hemorrhage significantly enhances diagnostic accuracy for traumatic CCJ ligamentous injuries in children.
  • This multimodal CT approach provides excellent diagnostic performance for detecting these injuries.
Abstract

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