Imaging diagnosis of intra-osseous ganglia surrounding the ankle joint
10.3969/j.issn.1002-1671.2014.06.022
- VernacularTitle:踝周邻关节骨囊肿的影像学诊断
- Author:
Zekun ZHANG
;
Xiaoying JIA
;
Jingpin ZHAO
;
Yuqing LI
;
Wenjuan WU
- Publication Type:Journal Article
- Keywords:
intra-osseous ganglia;
radiography;
computed tomography;
magnetic resonance imaging
- From:
Journal of Practical Radiology
2014;(6):979-982
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the imaging features of intra-osseous ganglia surrounding the ankle joints and their diagnostic value.Methods Imaging features of 40 cases of intra-osseous ganglia proved by the pathology from 1 982 to 2012 were analyzed ret-rospectively.33 cases underwent radiography,26 cases underwent computed tomography (CT)and 13 cases underwent magnetic resonance imaging (MRI).Results Intra-osseous ganglia were detected at talus in 23 cases,distal tibia in 1 5 cases (8 cases in pos-terior melleolus,6 cases in medial melloulus and 1 case in anterior part of distal tibia),and lateral malleolus in 1 case.Multiple in-tra-osseous ganglia was detected in 1 case,which located in both talus and posterior malleolus.29 cases were oval,monolocular os-teolytic lesions.1 1 cases were multilocular lesions with separation.All cases were observed with slightly sclerous edge.Articular surface disruptions were observed in 1 5 cases,and lesions were connected with the joint space.① Oval cystic translucent areas with sharp and sclerous edge adjacent to the ankle joint were observed in 34 lesions of 33 cases on radiograph.Cracks were noted on the articular surface of 12 lesions.② Round translucent areas with sharp and sclerous edge were observed in 26 isolated lesions on CT images.Cracks were noted on the articular surface of 14 lesions.③ 14 lesions of 13 cases showed low to moderate signal on T1 WI and high signal on T2 WI.Cracks were observed in 4 lesions adjacent to the ankle joint,and soft tissue swelling was noted in 6 le-sions.Conclusion Intra-osseous ganglia can be diagnosed accurately based on the typical imaging features and special locations.
