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腹膜后节细胞神经瘤的CT影像学特点
引用本文:周坤,齐永海,孙昊,金征宇. 腹膜后节细胞神经瘤的CT影像学特点[J]. 癌症进展, 2018, 16(5): 587-590. DOI: 10.11877/j.issn.1672-1535.2018.16.05.15
作者姓名:周坤  齐永海  孙昊  金征宇
作者单位:黑龙江省佳木斯市中心医院CT室,黑龙江 佳木斯 154002;中国医学科学院北京协和医学院北京协和医院放射科,北京 1007300;黑龙江省佳木斯市中心医院CT室,黑龙江 佳木斯,154002;中国医学科学院北京协和医学院北京协和医院放射科,北京,1007300
基金项目:卫生公益性行业科研专项项目(201402019)
摘    要:目的 探讨腹膜后节细胞神经瘤(GN)的CT影像学特点,以加深对腹膜后GN的认识和了解.方法回顾性分析15例腹膜后GN患者的临床资料,全部患者均行腹部增强CT检查,研究腹膜后GN的影像学特点,包括病灶大小、形态、边缘、密度、增强后病灶的强化方式及与周围血管的关系.结果15例腹膜后GN患者的平均病灶长径为(5.5±2.7)cm,边界多光整,多数呈楔形或锥形,较大病灶可见钻缝样生长,平扫多数呈较低密度,平均平扫CT值为(29.5±11.8)HU.15例腹膜后GN患者中,有钙化灶者3例(20.0%),无钙化灶者12例(80.0%).病灶多呈轻度均匀强化,15例腹膜后GN患者中,呈延时强化者8例(53.3%),静脉期出现峰值者3例(20.0%),动脉期出现峰值者2例(13.3%),各期强化均不明显者2例(13.3%).较大病灶可对周围结构产生推挤,病灶对相邻血管包绕或推挤的患者共有12例(80.0%),血管管径未见明显狭窄,管壁无毛糙受侵样改变.结论腹膜后GN的CT影像学特点为平扫密度较低且均匀,多无钙化,静脉期或延迟期强化较明显,周围血管受肿块包绕而未受肿块侵犯.结合腹膜后GN患者的CT表现和临床资料可作出较为准确的诊断.

关 键 词:腹膜后  节细胞神经瘤  CT  钙化  延迟期

The CT imaging features of retroperitoneal ganglioneuroma
ZHOU Kun,QI Yonghai,SUN Hao,JIN Zhengyu. The CT imaging features of retroperitoneal ganglioneuroma[J]. Oncology Progress, 2018, 16(5): 587-590. DOI: 10.11877/j.issn.1672-1535.2018.16.05.15
Authors:ZHOU Kun  QI Yonghai  SUN Hao  JIN Zhengyu
Abstract:Objective To investigate the CT imaging features of retroperitoneal ganglioneuroma (GN) in order to get a better understanding of the disease. Method The clinical data of 15 patients with GN were retrospectively analyzed. All the patients had abdominal enhanced CT exam. The imaging features of GN were analyzed, including lesions'size, contour, margin, density, enhanced characteristics and relationship with peripheral vessels. Result There were 15 cases included in this study. The longitudinal diameter of lesions was (5.5±2.7) cm with relatively clear margin. Most of lesions were wedges or tapered, while large lesions could be seen in the growth of drilling seam. The lesions were with low densi-ty of (29.5 ± 11.8) HU in unenhanced CT, with or without calcification in 3 cases (20.0%) and 12 cases (80.0%). The le-sions were mildly and homogeneously enhanced with 2 (13.3%), 3 (20%), and 8 (53.3%) cases enhancing in the peak of the arterial, portal and delay phases, respectively, while 2 (13.3%) cases were not significantly increased in each phases. Large lesions can cause a squeeze on the surrounding structures. There were 12 cases (80%) which adjacent blood vessels were wrapped or extruded by the large lesions, but the vessels'diameter were not obviously narrow and the vascular wall were not invaded. Conclusion The CT imaging features of GN include homogeneous low density, mostly without calcifi-cation, enhancing in the peak of the portal and delay phases and the adjacent blood vessels were wrapped without in-vades. Most of GN can be accurately diagnosed by CT imaging features combined with the clinical data.
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