卵巢甲状腺肿的影像学诊断
宁波市妇女儿童医院 放射科,浙江 宁波 315012
Imaging diagnosis of struma ovarii
Department of Radiology, Ningbo Women & Children’s Hospital, Ningbo, 315012
引用本文:
章瑜,梅海炳. 卵巢甲状腺肿的影像学诊断[J]. 温州医科大学学报, 2015, 45(9): 683-.
Cite this article:
ZHANG Yu,MEI Haibing.. Imaging diagnosis of struma ovarii[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2015, 45(9): 683-.
摘要 目的:总结卵巢甲状腺肿(SO)的影像学表现。方法:回顾性分析经手术病理证实的8例SO的MR、超声表现,结合病理表现,分析其影像学特征。结果:8例病例均为单侧,边界清楚,囊实性肿瘤。最大径范围5.1~19.3 cm。MR:实性区呈T2等信号、DWI高信号;囊性区不同囊腔信号不均等,所有病例均可见T2WI极低信号区,其在DWI图像上呈低信号。囊壁、囊间隔及实性区强化。超声于7例肿瘤实性部分发现“甲状腺肿突起”。结论:SO表现为边界光整肿块,MR上的T2极低信号区和超声图像上的“甲状腺肿突起”具有相对特征性,MR及超声检查对其诊断有重要价值。
关键词 :
卵巢甲状腺肿 ,
磁共振成像 ,
超声检查
Abstract :Objective: To analyze the MR and ultrasound (US) features of struma ovarii (SO). Methods: MR and US images of 8 patients with pathologically proved SO were retrospectively analyzed. Imaging features were compared with pathological results. Results: All tumors were unilateral, well-defined, mixed solid and cystic. The maximum sizes of the tumors ranged from 5.1 cm to 19.3 cm. MR appearances: The solid components were intermediate intensities on T2-weighted images and high intensities on diffusion-weighted images. The signal intensities of the cystic components were various. The areas of prominent low intensity on T2-weighted images were recognized in all cases, which were low intensities on diffusion-weighted images. Cyst walls, septa and solid components were well enhanced. Ultrasonographic appearances: The solid portion of tumors showed parenchymal echogenicity with “struma pearls” in 7 cases. Conclusion: Struma ovarii appeared as a smooth marginated mass with the areas of prominent low intensity on T2-weighted images on MR, and “struma pearls” on US images. The MR and US characteristic appearances of SO may be of great value for the diagnosis.
Key words :
struma ovarii
magnetic resonce imaging
ultrasonography
收稿日期: 2014-12-05
通讯作者:
章瑜(1982-),女,河南南阳人,主治医师,硕士。
[1] Robboy SJ. Pathology of the female reproductive tract[M].Beijing: Peking University Medical Press, 2005: 672-674.
[2] 赵书会, 强金伟, 邱海应, 等. 卵巢畸胎瘤的MRI诊断[J]. 放射学实践, 2011, 26(12): 1270-1273.
[3] Ikeuchi T, Koyama T, Tamai K, et al. CT and MR features of struma ovarii[J]. Abdom Imaging, 2012, 37(5): 904-910.
[4] Roth LM, Talerman A. The enigma of struma ovarii[J]. Pathology, 2007, 39(1): 139-146.
[5] Shen J, Xia X, Lin Y, et al. Diagnosis of struma ovarii with medical imaging[J]. Abdom Imaging, 2011, 36(5): 627-631.
[6] 温莉虹, 张虎祥, 郑向阳, 等. 卵巢恶性甲状腺肿临床病理分析[J]. 温州医科大学学报, 2014, 44(2): 141-144.
[7] 李伟大, 黄朝晖, 陈艳, 等. 卵巢甲状腺肿的CT和MR诊断[J]. 中华放射学杂志, 2012, 46(11): 1030-1032.
[8] Kim JC, Kim SS, Park JY, et al. MR findings of struma ovarii[J]. Clin Imaging, 2000, 24(1): 28-33.
[9] 欧卫谦, 赵继泉, 江浩, 等. 卵巢甲状腺肿的MR诊断与病理对照[J]. 影像诊断与介入放射学, 2012, 21(3): 183-186.
[10] Martine I, Dujardin, Priti S, et al. Struma ovarii: role of imaging?[J]. Insights Imaging, 2014, 5(1): 41-51.
[11] Savelli L, Testa AC, Timmerman D, et al. Imaging of gynecological disease(4): clinical and ultrasound characteristics of struma ovarii[J]. Ultrasound Obstet Gynecol, 2008, 32(2): 210-219.
[12] Bokhari A, Rosenfeld GS, Cracchiolo B. Cystic struma ovarii presenting with ascites and an elevated CA-125 level. A case report[J]. J Reprod Med, 2003, 48(1): 52-56.
[13] 石喻, 郭启勇, 李悦, 等. 超声联合增强CT诊断卵巢甲状腺肿[J]. 中国医学影像技术, 2014, 3(30): 441-445.
[14] 王鑫璐, 于诗嘉, 唐少珊, 等. 25例卵巢甲状腺肿的超声声像图分析[J]. 影像诊断与介入放射学, 2011, 8(2): 106-108.
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