Imaging and pathology features of rosette-forming glioneuronal tumor
10.3760/cma.j.cn115354-20200527-00414
- VernacularTitle:菊形团形成性胶质神经元肿瘤的影像学表现与病理分析
- Author:
Ziyuan LI
1
;
Min GUAN
;
Dapeng SHI
;
Hui HE
;
Meiyun WANG
Author Information
1. 河南省人民医院（郑州大学人民医院）医学影像科，河南省神经疾病影像诊断与研究重点实验室，郑州 450003
- Keywords:
Tumor;
Nervous system;
Rosette-forming glioneuronal tumor;
Pathology;
Imaging
- From:
Chinese Journal of Neuromedicine
2020;19(10):1020-1024
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the imaging and pathology features of rosette-forming glioneuronal tumor (RGNT).Methods:From January 2010 to September 2019, 7 patients with pathologically conformed RGNT in our hospital were chosen, the imaging findings were analyzed retrospectively and compared with corresponding pathological features.Results:Six patients showed single lesion: 4 located in the vermis and its surrounding areas, in which 2 involved the pineal region and the tectum; the other 2 lesions located in the fourth ventricle. One patient had multiple lesions, which located in the third ventricle and the lateral ventricle respectively. Cystic-solid masses mainly with cystic changes were noted in these 7 patients, lesions in the vermis of cerebellum and its surrounding areas were polycystic while lesions in the ventricles were single cystic. The cystic areas of masses showed low density on plain CT scan and slightly long T 1 and long T 2 signal on MR imaging. The imaging findings were compared with the pathological findings: the density/signal changes were corresponded to the cystoid changes, hemorrhage and calcification, as seen in the postoperative specimens; the signal changes of the cystic areas were corresponded to the mucus matrix components and old hemorrhage; the characteristics of tumor enhancement were closely related to the distribution of solid components and degrees of blood supply. Conclusion:The imaging features of RGNT may partly reflect its pathological manifestations; combined with the specific location, imaging examinations may help make a correct preoperative diagnosis.
