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经乳腺专用MRI诊断为BI.RADS4类病灶良恶性比例及“误诊”原因分析
引用本文:孙琨,陈克敏,柴维敏,严福华. 经乳腺专用MRI诊断为BI.RADS4类病灶良恶性比例及“误诊”原因分析[J]. 诊断学理论与实践, 2013, 0(6): 622-627
作者姓名:孙琨  陈克敏  柴维敏  严福华
作者单位:上海交通大学医学院附属瑞金医院放射科,上海200025
基金项目: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)
摘    要:目的:探讨经乳腺专用磁共振成像(DBMRI)诊断为BI-RADS4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-RADS4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-RADS4类。以病理结果作为金标准,分析诊断为BI-RADS4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-RADS4类病灶(BI-RADS4A类301个,BI-RADS4B类226个,BI-RADS4C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fBI-RADS4A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-RADS4B、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-RADS4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.一定要结合乳嚎Y线髓韶亩榆杏棍高苴诊断准确室

关 键 词:乳腺病变  磁共振成像  乳腺影像数据系统

Proportion of benign and mali2nancv in BI-RADS category 4 breast lesions dia8nosed by dedicated breast MRIand analysis of misdiagnosis cases
SUN Kun,CHEN Kemin,CHAI Weimin,YAN Fuhua. Proportion of benign and mali2nancv in BI-RADS category 4 breast lesions dia8nosed by dedicated breast MRIand analysis of misdiagnosis cases[J]. Journal of Diagnostics Concepts & Practice, 2013, 0(6): 622-627
Authors:SUN Kun  CHEN Kemin  CHAI Weimin  YAN Fuhua
Affiliation:. Department of Radiology, Ruiiin Hospital, Shanghai Jiaotong University School of Medicine ,Shanghai 200025, China
Abstract: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.
Keywords:Breast lesions  Magnetic resonance imaging  Breast imaging reporting and data system
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