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Erschienen in: Surgical and Radiologic Anatomy 2/2020

05.09.2019 | Original Article

The relationship between density variations of transverse ligament tubercles on multidetector computed tomography (MDCT) and age, gender, or laterality in a large cohort

verfasst von: Qinhua Luan, Yongguang Ban, Kai Liu, Bo Sun, Ximing Wang, Xiangtao Lin

Erschienen in: Surgical and Radiologic Anatomy | Ausgabe 2/2020

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Abstract

Background

Transverse ligament tubercles are unique structures that maintain the stability of the upper cervical spine. However, the density variations of tubercles in different clinical contexts or populations have not been carefully studied through multidetector computed tomography (MDCT).

Purpose

This study aimed to evaluate the relationship between density variations in the transverse ligament tubercles, as measured through multidetector computed tomography (MDCT), with age, gender, or laterality.

Methods

A cohort of 339 Chinese patients that underwent MDCT in the head or neck were recruited. The patients were divided into eight age groups. The densities of the bilateral transverse ligament tubercles were classified through MDCT, and the potential relationship between the density of the tubercles and the age, gender, or laterality was analyzed.

Results

Based on MDCT findings, four different density types of tubercles were identified (type 0–III). Our data suggest that the density of tubercles increased with age (χ2 = 637.7, p < 0.05). However, the density of tubercles did not correlate with laterality (male: t = 0.217, p > 0.05, female: t = 1.448, p > 0.05) or gender (χ2 = 5.706, p > 0.05).

Conclusions

The density of the transverse ligament tubercles, as measured through MDCT, shows a stereotyped dynamic pattern, i.e., it apparently increases with age, but neither gender nor laterality significantly contribute to these changes.
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Metadaten
Titel
The relationship between density variations of transverse ligament tubercles on multidetector computed tomography (MDCT) and age, gender, or laterality in a large cohort
verfasst von
Qinhua Luan
Yongguang Ban
Kai Liu
Bo Sun
Ximing Wang
Xiangtao Lin
Publikationsdatum
05.09.2019
Verlag
Springer Paris
Erschienen in
Surgical and Radiologic Anatomy / Ausgabe 2/2020
Print ISSN: 0930-1038
Elektronische ISSN: 1279-8517
DOI
https://doi.org/10.1007/s00276-019-02324-6

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