患者均为女性,发病年龄为33~78岁,中位年龄53岁,病灶均发生于单侧。42.9%(9/21)患者筛状结构达100%,23.8%(5/21)患者筛状结构为50%~99%,33.3%(7/21)患者筛状结构<50%;3例伴腋窝淋巴结转移。超声声像图表现:病灶内部均为低回声,5例内伴点状钙化,90%边界不清晰或欠清晰,95%形态不规则或欠规则,71.4%内部和(或)周边可测及血流信号。95.2%(20/21)患者超声诊断为乳腺影像报告和数据系统(breast imaging reporting and data system,BI-RADS)4A类及以上,1例诊断为BI-RADS 3类。
结论:
通过掌握乳腺ICC的超声表现及临床病理学特点,有望提高对该疾病的认识及诊断水平。
Abstract
Objective:
To study the ultrasonographic appearances and clinical features of invasive cribriform carcinoma (ICC) of breast for improving the understanding and diagnosis results of the disease.
Methods:
Twenty-one cases of ICC confirmed by pathol-ogy examination after surgery in International Peace Maternity and Child Health Hospital from Jan. 2008 to Aug. 2018 were collect-ed
and their ultrasonographic features and clinicopathological data were analyz
ed.
Results:
All patients were females. The age of onset was 33-78 years and the median age was 53 years old. All the lesions occurred unilaterally. 42.9% (9/21) cases had 100% sieve structure
23.8% (5/21) cases had 50%-99% sieve structure and 33.3% (7/21) cases had less than 50% sieve structure. Three cases combined with axillary lymph node metastasis. Ultrasonographic features: all lesions manifest as hypoechoic nodules. Combined with punctate calcification in 5 cases. About 90% lesions showed unclear boundaries and about 95% lesions showed irregular shapes. Blood flow signals could be detected internally and (or) peripherally in 71.4% lesions. Ultrasound diagnosis results: 95.2% (20/21) cases were diagnosed as breast imaging reporting and data system (BI-RADS) 4A or above
and 1 case was diagnosed as BI-RADS 3.
Conclusion:
By reviewing the ultrasonographic features and clinicopathological features of ICC
we could improve the understand-ing and diagnosis results of this disease.
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Related Author
Yicheng ZHU
Yuan ZHANG
Zheqin YANG
Yu FU
Yan HUANG
Jun SHAN
Quan JIANG
Jiaojiao HU
Related Institution
Department of Ultrasound, Shanghai Pudong New Area People's Hospital
Department of Radiology, The First Affiliated Hospital of Soochow University
Department of Ultrasound, Gongli Hospital, Shanghai Pudong New Area
Institute of Medical Imaging, Soochow University
Department of Ultrasound, The First Hospital of Qinhuangdao