摘要
目的探讨乳腺癌在锥光束乳腺CT(Cone Beam Breast CT,CBBCT)的主要影像学表现,探索这一新的成像技术对于诊断的辅助意义。方法回顾性分析2020年6月至2021年3月于解放军总医院第一医学中心行CBBCT检查且病理结果为乳腺癌的30例患者的影像学资料。对于病变影像特征进行分析,包括肿块或非肿块,以及其钙化、形态、边缘、内部强化方式、分布特征等,并统计报告的BI-RADS分类。结果肿块性病变为26例(86.7%),非肿块病变为4例(13.3%);肿块类病变中发现不定型钙化8例(30.7%),形态不规则14例(53.8%),边缘毛刺9例(34.6%),增强扫描环形强化6例(23.1%),混杂强化19例(73.1%),均匀强化1例(3.8%)。BI-RADS分类结果27例为5类,2例为4类,1例为3类,漏诊率为3.33%。结论乳腺癌在CBBCT上的表现是多种多样的,可以表现为肿块及非肿块两大类表现,其中恶性的钙化、毛刺边缘及环形强化、节段性分布等特征有助于诊断;CBBCT诊断乳腺癌的漏诊率低,可以作为乳腺癌筛查的重要手段。
Objective To investigate the main imaging findings of breast cancer in cone beam breast CT(CBBCT)and explore the clinical significance of this new imaging technique for diagnosis.Methods The imaging data of 30 patients with breast cancer who examined with CBBCT in the first medical center of Chinese PLA general hospital from June 2020 to March 2021 were retrospectively analyzed.The imaging features of lesions were analyzed,including the calcification,morphology,margin,internal enhancement,and distribution characteristics of mass and non-mass.The breast imaging reporting and data system(BI-RADS)classification was statistically analyzed.Results Mass lesions were found in 26 cases(86.7%),non-mass lesions in 4cases(13.3%).Among the masses,amorphous calcification was found in 8 cases(30.7%),irregular morphology in 14 cases(53.8%),marginal burr in 9 cases(34.6%),circular enhancement scanning in 6 cases(23.1%),mixed reinforcement in 19 cases(73.1%),and homogeneous enhancement in 1 case(3.8%).The results of BI-RADS classification showed that 27 cases were classified into 5 categories,2 cases were classified into 4 categories,and 1 case was classified into 3 categories.The missed diagnosis rate was 3.33%.Conclusion The manifestations of breast cancer on CBBCT are varied,including tumor and non-tumor manifestations,among which malignant calcification,burr edge and ring enhancement are helpful for diagnosis.The CBBCT has high diagnostic accuracy for breast cancer and can be used as an important means for breast cancer screening.
作者
刘铁芳
张艳君
张雨
付岩宁
李颖
LIU Tiefang;ZHANG Yanjun;ZHANG Yu;FU Yanning;LI Ying(Department of Diagnostic Radiology,The First Medical Center of Chinese PLA General Hospital,Beijing 100853,China;Department of Breast Surgery,The First Medical Center of Chinese PLA General Hospital,Beijing 100853,China)
出处
《中国医疗设备》
2022年第2期74-77,共4页
China Medical Devices
基金
国家重点研发计划(2017YFC0112604)。
关键词
锥光束乳腺CT
BI-RADS分类
乳腺癌
cone beam breast CT
breast imaging reporting and data system classification
breast cancer
