摘要
目的:探讨经乳腺专用磁共振成像(DBMRI)诊断为BI-RADS 4类病灶中的良恶性比例,并分析其误诊原因。方法:收集我院经DBMRI诊断为BI-RADS 4类的781例患者的资料,参照美国放射学BI-RADS分类标准,结合我院临床经验,认为形态学及血流动力学两项指标,一项表现为非良性,则将病灶归为BI-RADS 4类。以病理结果作为金标准,分析诊断为BI-RADS 4类病灶中的良恶性比例及"误诊"原因。结果:DBMRI诊断的781例患者的781个BI-RADS 4类病灶(BI-RADS 4A类301个,BI-RADS 4B类226个,BI-RADS 4C类254个),病理结果均提示异常,检测灵敏度达100%。其中,病理证实为良性的病灶共457个,恶性病灶共324个。DBMRI考虑为良性(BI-RADS 4A类),而病理结果为恶性的病灶(27个)主要为浸润性导管癌(37.04%)和导管原位癌(33.33%);DBMRI考虑为恶性(BI-RADS 4B、4C类),而病理结果为良性的病灶(457个)主要为纤维腺瘤(32.24%)、乳腺腺病(27.87%)及导管内乳头状瘤(25.68%)。结论:DBMRI因其较高的空间分辨率及高对比度,能为临床BI-RADS 4类亚分类病灶的不同处理提供依据。然而DBMRI仍存在其局限性,对于非肿块样病灶性质的判定仍较困难。建议非肿块样强化病灶,一定要结合乳腺X线及超声检查,提高其诊断准确率。
Objective: To analyze the proportion of benign and malignancy in BI-RADS (breast imaging reporting and data system)category 4 breast lesions diagnosed by dedicated breast magnetic resonance imaging (DBMRI)and to investigate the reason for misdiagnosis. Methods: According to the American College of Radiology (ACR) breast imaging reporting and data system (BI-RADS) and our experience, morphological characteristics and blood flow kinetic features of breast lesions from 781 patients were analyzed retrospectively. If one of the features was non-benign, the lesion would be assessed as BI-RADS 4. Using pathological diagnosis as golden standard, the proportion of benign and malignancy in BI- RADS 4 breast lesions and the reason of misdiagnosis were analyzed. Results: All 781 cases of BI-RADS 4 breast lesions (including 301 cases of category 4A lesions,226 cases of category 4B lesions, 254 cases of category 4C lesions) had abnormal pathological results, with a sensitivity of 100%. Of them, 457 were confirmed as benign and 324 were confirmed as malignancy pathologically. The BI-RADS-diagnosed as benign while pathologically diagnosed as malignant lesions included infiltrative ductal carcinoma (IDC) (37.04%)and ductal carcinoma in situ (DCIS) (33.33%). The BI-RADS diagnosed as malignant while pathologically demonstrated as benign lesions included fibroadenoma (32.24%), adenosis (27.87%)and intraductal papilloma (25.68%). Conclusions: Because of its high-spatial-resolution and high-contrast resolution, DBMRI contributes a lot in the selection of management for BI-RADS 4 subcategory lesions. But it is very difficult for DBMRI to identify different types of non-mass lesions. For non-mass lesions, combined use of BI-RADS, mammography and uhrasonography may improve the diagnosis.
出处
《诊断学理论与实践》
2013年第6期622-627,共6页
Journal of Diagnostics Concepts & Practice
基金
国家自然科学基金面上项目(81071281)
上海市科委科研项目(10JC1410900)
上海市科委生药重点项目(10411953000)
关键词
乳腺病变
磁共振成像
乳腺影像数据系统
Breast lesions
Magnetic resonance imaging
Breast imaging reporting and data system