HUANG Junlin, LIN Qing, CUI Chunxiao, et al. Correlation between imaging features and molecular subtypes in very young women with breast cancer[J]. China Oncology, 2020, 30(10): 812-820.
HUANG Junlin, LIN Qing, CUI Chunxiao, et al. Correlation between imaging features and molecular subtypes in very young women with breast cancer[J]. China Oncology, 2020, 30(10): 812-820. DOI: 10.19401/j.cnki.1007-3639.2020.10.013.
Correlation between imaging features and molecular subtypes in very young women with breast cancer
背景与目的:乳腺癌在30岁以下的青年女性中很罕见,但近几年乳腺癌趋向年轻化并且发病率逐年增高,而早期乳腺癌免疫组织化学分子亚型的识别可以完善治疗方案。该研究旨在探讨青年女性(≤30岁)乳腺癌的超声、数字乳腺X线摄影(digital mammography,DM)及数字乳腺断层合成摄影(digital breast tomosynthesis,DBT)特征与免疫组织化学分子亚型的相关性。方法:回顾并分析2013年12月—2019年7月于青岛大学附属医院进行过乳腺超声、DM和DBT检查,且经手术后病理学检查证实为乳腺癌,年龄≤30岁的139例青年女性患者。影像学特征参照第5版乳腺影像报告及数据系统(Breast Imaging Reporting and Data System,BI-RADS)进行评估及分类。对肿块样病变,3种检查方法均评估了病变的形状、边缘,DM和DBT对肿块密度另加以评估,超声对病变内部回声、后方回声、血流信号另加以评估;对异常钙化评估其形态及分布;依据BI-RADS评估了乳腺纤维腺体构成;分子亚型根据2015年修订的St. Gallen国际专家共识建议确定。结果:病变多表现为可触及肿块(89.9%)、临床T
Background and purpose: Breast cancer is rare in young women under 30 years old
but in recent years breast cancer patients have become younger a
nd its incidence has increased year by year. The identification of early breast cancer immunohistochemical molecular subtypes can improve the treatment plan. The primary purpose of the present study was to analyze the ultrasonography (US)
digital mammography (DM) and digital breast tomosynthesis (DBT) features of breast cancer in very young women (≤30 years old) and the correlation with molecular subtypes. Methods: We performed a retrospective review of imaging and pathological features of consecutive young women under 30 years old who were treated in the Affiliated Hospital of Qingdao University and were diagnosed and histopathologically confirmed with breast cancer from Dec. 2013 to Jul. 2019. Three imaging techniques were used to assess the features of the lesions. DM
DBT and US were available for 139 patients. The imaging findings were evaluated according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon. For mass lesions
the three examination methods all evaluated the shape and margin. DM and DBT were used to evaluate the density of the mass
and US was used to evaluate the echogenicity
posterior feature and vascularity. The morphology and distribution were evaluated for isolated microcalcifications. The composition of mammary fibrous glands was evaluated according to BI-RADS lexicon. The molecular subtypes were defined according to the 2015 revised St. Gallen International Expert Consensus Recommendation. There were four molecular subtypes: luminal A
luminal B
HER2 enriched and triple-negative breast cancer (TNBC). Results: The lesions mostly showed as a palpable mass (89.9%)
clinical T
2
(50.4%)
histological grade Ⅱ (58.3%)
axillary lymph node metastasis (59.7%)
luminal B type (44.6%)
and BI-RADS were mostly 4 or 5 categories. Irregular shapes were the most common imaging features (P0.001). In all examination
the luminal A type and TNBC type were mostly shown as mass alone lesions
luminal B was more common mass with microcalcification
and HER2 enriched type was most
ly shown with microcalcifications alone lesions (P0.001). Using both DM and DBT
negative diagnosis was more common in luminal A type tumors (P0.001). For mass lesion
the most common findings on DM were indistinct margins (71.9%)
whereas DBT detected spiculated margins (51.8%) which were related to luminal A type and luminal B type tumors (P0.01). Benign morphological features on imaging may be correlated with TNBC type tumors
such as an oval or round shape (P0.001) and circumscribed margin (P0.01). The HER2 enriched type and TNBC type were larger than the luminal A type and luminal B type in the mass lesions (P=0.003). Conclusion: Some imaging features of breast cancer in young women ≤30 years old can be used to predict certain tumor molecular subtypes. The cancer detection rate of DBT was higher than that of DM
which has a wide application value for young women with dense breasts.
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