不同组织学类型和分子分型的乳腺黏液癌82例超声声像图特征表现

Ultrasonographic features of 82 cases of breast mucinous carcinoma with different histological types and molecular types

目的分析不同组织学类型和不同分子分型的乳腺黏液癌(MBC)的超声声像图特征。方法回顾性分析四川天府新区人民医院2013年6月至2021年6月经手术后证实为乳腺黏液癌的病人82例的临床和超声资料,根据超声乳腺影像报告和数据系统(BI-RADS)进行描述和分类,比较不同组织学类型和不同分子分型MBC的差异,并进行统计学分析。结果单纯型乳腺黏液癌(PMBC)和混合型乳腺黏液癌(MMBC)相比较,在非平行方位、毛刺状、声影、肿块内微钙化、结构扭曲、血管供应、腋窝淋巴结异常的发生率[71.4%(5/7)比21.3%(16/75)、100.0%(4/4)比9.1%(1/11)、66.7%(2/3)比13.0%(6/46)、58.3%(14/24)比12.7%(7/55)、37.1%(13/35)比17.0%(8/47)、38.1%(16/42)比12.5%(5/40)、50.0%(9/18)比18.7(12/64)]均显著升高(P<0.05)。Luminal B型与Luminal A型相比较,在不均匀背景回声、椭圆形、血管供应、BI-RADS 3类的发生率[70.0%(14/20)比23.7%(9/38)、100.0%(5/5)比36.4%(28/77)、78.9%(30/38)比40.0%(16/40)、100.0%(1/1)比23.5%(8/34)]均显著升高(P<0.05)。结论超声图像特征分析有助于推断MBC的潜在组织学类型和分子分型。

Objective To analyze the ultrasonographic features of mucinous breast carcinoma(MBC)with different histological types and molecular staging.Methods This was a retrospective analysis of the clinical and ultrasound data of 82 patients with confirmed MBC after surgery from June 2013 to June 2021 in the Sichuan Tianfu New Area People's Hospital.According to the Ultrasound Breast Imaging Reporting and Data System(BI-RADS),the differences between different histological types and different molecular subtypes of MBC were described and classified,and statistical analysis was performed.Results Compared with PMBC,the incidence of nonparallel orientation,bristle shape,acoustic shadowing,microcalcifications within the mass,structural distortion,vascular supply,and axillary lymph node abnormalities[71.4%(5/7)vs.21.3%(16/75),100.0%(4/4)vs.9.1%(1/11),66.7%(2/3)vs.13.0%(6/46),58.3%(14/24)vs.12.7%(7/55),37.1%(13/35)vs.17.0%(8/47),38.1%(16/42)vs.12.5%(5/40),50.0%(9/18)vs.18.7%(12/64)]were significantly increased(P<0.05).The incidence of Luminal B compared with Luminal A was significantly increased in the 3 categories of inhomogeneous background echo,ellipse,vascular supply,and BI-RADS[70.0%(14/20)vs.23.7%(9/38),100.0%(5/5)vs.36.4%(28/77),78.9%(30/38)vs.40.0%(16/40),100.0%(1/1)vs.23.5%(8/34)](P<0.05).Conclusion Ultrasonographic image feature analysis is helpful to infer the potential histological type and molecular staging of MBC.