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卵巢甲状腺肿的超声图像特点及临床病理分析
强坤坤,宋清芸,罗红,杨太珠,文娟,张文,陈婷
0
(四川大学华西妇产儿童医院超声科·出生缺陷与妇儿疾病教育部重点实验室)
摘要:
目的 分析病理诊断为卵巢甲状腺肿(SO)患者的超声图像特征及临床病理特点,以期提高超声对本病的诊断水准。方法 回顾性分析我院2010年1月~2017年5月经病理证实为SO的94例患者术前超声表现和临床资料,并总结超声图像特点。结果 94例SO患者中,91例为良性卵巢甲状腺肿,3例为恶性卵巢甲状腺肿,其中良性卵巢甲状腺肿超声图像中77例(84.6%)呈囊性、分隔囊性或囊实性,86例(94.5%)边界清楚,70例(76.9%)形态规则,17例(18.7%)囊内有结节状突起,45例(49.5%)可探及血流信号;恶性卵巢甲状腺肿中,2例附件区囊实性(以囊性为主)占位,囊内壁可见稍强回声结节突起,囊壁、稍强回声及隔上均可探及血流信号。结论 卵巢甲状腺肿超声声像图特点各异,但仍具有一些共性,多表现为附件区或盆腔内边界清楚、形态规则的分隔囊性或囊实性肿块,部分囊内可见结节状突起,囊壁及隔上探及血流。分析超声图像特点有助于提高该病的诊断水平。
关键词:  卵巢甲状腺肿  超声检查  肿瘤标记物CA125  CA199
DOI:
基金项目:四川省科技厅应用基础研究项目(2016JY0099)
Ultrasonographic and clinical pathological manifestations of Struma Ovarii
QIANG Kunkun,SONG Qingyun,LUO Hong,YANG Taizhu,WEN Juan,ZHANG Wen,CHEN Ting
(Department of Ultrasonography,Key Laboratory of Obstetric, Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education,West China Second Hospital,Sichuan University)
Abstract:
Objective To investigate the ultrasonographic features and the corresponding clinical pathological manifestations of Struma Ovarii. Methods The clinical data and preoperative ultrasonographic findings of 94 patients with Struma Ovarii were analyzed retrospectively from January 2010 to May 2017 at West China Second Hospital. The characteristics of ultrasonographic images were summarized. Results 91 cases were benign Struma Ovarii. 3 cases were malignant Struma Ovarii.77 cases (84.6%) were cystic, separated cystic or mixed. The border of 86 cases (94.5%) were clear, 70 cases (76.9%) had regular shape. 45 cases (49.5%) can detect and 2 cases of malignant Struma Ovarii ultrasonography showed mixed echo with stronger echo nodules,blood flow signal.wereditected in the cystic wall,nodule and septum。Conclusion Ultrasonographic features of Struma Ovarii are diverse, but still have some characteristics, such as the performance of clear boundary,regular shape of the multicystic or cystic solid mass,solid nodule can be seen in part of the cyst, blood flow signal.were detected in the cystic wall and septum. Detailed analysis of ultrasound image features can improve the diagnosis of Struma Ovarii
Key words:  Struma Ovarii  Ultrasonography  Tumormaker CA-125  CA199

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