摘要
目的:探讨乳腺癌4种分子分型,即Luminal A、Luminal B、人表皮生长因子受体2(human epidermal growth factor receptor 2,HER2)过表达型、三阴性乳腺癌(triple-negative breast cancer,TNBC)数字乳腺体层合成(digital breast tomosynthesis,DBT)图像特征差异及其相关性。方法:收集广东省妇幼保健院经病理学检查证实为乳腺癌的患者209例。术前均行DBT检查及免疫组织化学染色,分析肿块大小、形态、边缘毛刺征、微钙化及腋窝淋巴结转移情况。根据免疫组织化学结果将患者分为Luminal A、Luminal B、HER2过表达型和TNBC,分析DBT影像学征象与乳腺癌分子分型相关性。结果:209例乳腺癌患者中Luminal A、Luminal B、HER2过表达型、TNBC分别有41例(19.62%)、109例(52.15%)、28例(13.40%)、31例(14.83%)。不同分子分型乳腺癌DBT影像学征象在肿块大小、形态、微钙化方面差异有统计学意义(P<0.05),在患者的年龄、毛刺征及腋窝淋巴结转移方面差异无统计学意义(P>0.05)。结论:Luminal B最常见,HER2过表达型常伴有毛刺征、微钙化及形态多不规则,TNBC肿块大、形态规则、多无微钙化及毛刺征。DBT影像学特征可预测乳腺癌分子分型,为术前肿瘤生物学行为判断、预后评估及个体化治疗提供可靠的影像学依据。
Objective:To explore the difference and correlation between the four molecular types of breast cancer,Luminal A,Luminal B,human epidermal growth factor receptor 2(HER2)overexpression,triple-negative breast cancer(TNBC),and digital breast tomosynthesis(DBT)image characteristics.Methods:A total of 209 patients with breast cancer confirmed by pathology in Guangdong Province Hospital for Women and Children Healthcare were collected.DBT examination and immunohistochemistry were performed before operation to analyze the size,shape,edge burr sign,microcalcification and axillary lymph node metastasis.According to the results of immunohistochemistry,patients were divided into Luminal A,Luminal B,HER2 overexpression type and TNBC,and the correlation between DBT imaging signs and molecular classification of breast cancer was analyzed.Results:Among 209 breast cancer patients,Luminal A,Luminal B,HER2 overexpression type,and TNBC patients were 41 cases(19.62%),109 cases(52.15%),28 cases(13.40%),31 cases(14.83%),respectively.Different molecular types of breast cancer and DBT imaging signs had statistically significant differences in tumor size,morphology,and microcalcification(P<0.05).There were no statistically significant differences in patients age,burr signs,and axillary lymph node metastasis(P>0.05).Conclusion:Luminal B is the most common.HER2 overexpression type is often accompanied by burr signs,microcalcifications and multiple irregularities.The TNBC has large lumps,regular morphology,and mostly no microcalcifications and burr signs.The imaging features of DBT can predict the molecular classification of breast cancer,and provide reliable imaging basis for the judgment of tumor biological behavior,prognosis evaluation and individualized treatment before clinical operation.
作者
李鸿恩
王伟
张丽
曾益辉
江魁明
张嫣
张婷
LI Hongen;WANG Wei;ZHANG Li;ZENG Yihui;JIANG Kuiming;ZHANG Yan;ZHANG Ting(Department of Radiology,Guangdong Province Hospital for Women and Children Healthcare,Guangzhou 511400,Guangdong Province,China;Department of Radiology,Dongguan Songshan Lake Central Hospital,Dongguan 523127,Guangdong Province,China)
出处
《肿瘤影像学》
2021年第5期354-361,共8页
Oncoradiology
基金
广州市科技计划项目(202002030217)。
关键词
乳腺癌
数字乳腺体层合成
分子分型
Breast cancer
Digital breast tomosynthesis
Molecular typing
