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作 者:赵静[1] 荆秀娟[1] 戴晨燕[1] Jing Zhao;Xiujuan Jing;Chenyan Dai(Gynecologic Center Ultrasound Department,Nanjing Drum Tower Hospital Affiliated to Nanjing University,Nanjing 210000,China)
机构地区:[1]南京大学医学院附属鼓楼医院妇产医学中心,210000
出 处:《中华医学超声杂志(电子版)》2024年第11期1011-1016,共6页Chinese Journal of Medical Ultrasound(Electronic Edition)
基 金:国家重点研发计划子课题骨干2022(2022YFB3804605)。
摘 要:目的探讨女性盆腔内神经鞘肿瘤的超声声像图及临床特征,以提高对神经鞘肿瘤的认识。方法选取2019年3月至2023年10月于南京大学医学院附属鼓楼医院妇产医学中心接受妇科超声检查、经手术治疗并经病理诊断为盆腔内神经鞘肿瘤的患者11例为研究对象,分析患者术前超声图像特征及临床资料,并进行随访。结果11例盆腔内神经鞘肿瘤中神经纤维瘤病1例,神经纤维瘤1例,神经鞘瘤9例,发病年龄29~68岁,多以无症状或体检偶然发现就诊,肿块大小差异大(最大直径为29~105 mm),内部回声以囊实性为主(5/9),形态多为规则(6/9),边界清晰(9/9),其中神经鞘瘤多见高回声包膜(7/9),彩色多普勒超声提示病灶内血流以I级为主(5/9)。结论女性盆腔内神经鞘肿瘤多表现为良性肿瘤的超声声像图特征,缺乏特异性征象,超声医师应提高对盆腔内神经鞘肿瘤的认识以提高术前诊断率。ObjectiveTo investigate the ultrasonographic imaging and clinical features of pelvic nerve sheath tumors in female patients, in order to improve their recognition.MethodsFrom March 2019 to October 2023, patients with pelvic nerve sheath tumors who underwent gynecological ultrasound, surgical treatment, and pathological examination at the Gynecologic Center Ultrasound Department of Nanjing Drum Tower Hospital Affiliated to Nanjing University were included. Their ultrasound findings and clinical data were reviewed retrospectively.ResultsA total of 11 cases were included, including 9 cases of schwannom and 1 case each of neurofibroma and neurofibromatosis, age of onset: 29-68 years old. Most of them were asymptomatic or found by physical examination. The size of the tumors varied (maximum diameter 29-105 mm), the masses were well-defined, the internal echo was mainly solid-cystic, the shape was mainly regular, and the presence of a hyperechogenic rim was mainly detected in schwannoa. Color Doppler showed that the blood flow in the lesions was mainly grade I.ConclusionPelvic never sheath tumors in female patients have the characteristics of benign tumors on ultrasonographic images and lack typical imaging features. Sonographers should improve their understanding of pelvic never sheath tumors to further improve the accuracy of preoperative diagnosis.
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