Resumen
BACKGROUND AND PURPOSE: Widening of the basion-dens interval is an important sign of cranioverterbral junction injury. The current literature on basion-dens interval in children is sparse and based on bony measurements with variable values. Our goal was to establish the normal values of a recently described new imaging parameter, the basion- cartilaginous dens interval in children. MATERIALS AND METHODS: Three hundred healthy pediatric patients (0 -10 years of age) were selected retrospectively. These patients were divided into 3 different groups: A (0-3 years), B (3-6 years), and C (6-10 years). The basion- cartilaginous dens interval was calculated on the sagittal MPR image of cervical spine CT in a soft-Tissue window. The mean, SD, and the upper limit of normal (mean2 SDs) of the 3 groups were calculated, and statistical tests were used to check for significant differences of the basion- cartilaginous dens interval among these 3 groups. RESULTS: The upper limits of the basion- cartilaginous dens interval for the 3 groups were 5.34mmin group A, 5.64mmin group B, and 7.24 mm in group C. There were statistically significant differences in the basion- cartilaginous dens interval values among the 3 groups. There was no statistically significant difference in basion- cartilaginous dens interval values between groups A and B; however, values in group C were significantly different from those in both A and B. There was no statistically significant difference in the basion- cartilaginous dens interval values between males and females. CONCLUSIONS: The basion- cartilaginous dens interval is a novel imaging parameter to assess cranioverterbral junction integrity in children, which includes the nonossified cartilage in the measurement.
| Idioma original | English (US) |
|---|---|
| Páginas (desde-hasta) | 2380-2384 |
| Número de páginas | 5 |
| Publicación | American Journal of Neuroradiology |
| Volumen | 38 |
| N.º | 12 |
| DOI | |
| Estado | Published - dic 1 2017 |
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Clinical Neurology
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