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经乳腺专用MRI诊断为BI-RADS 4类病灶良恶性比例及“误诊”原因分析 被引量:2

Proportion of benign and malignancy in BI-RADS category 4 breast lesions diagnosed by dedicated breast MRI and analysis of misdiagnosis cases
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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
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参考文献13

  • 1American College of Radiology. Breast imaging reporting and data system, breast imaging atlas[M]. 4th ed. Reston, VA:American College of Radiology,2003:1-99.
  • 2顾雅佳.乳腺磁共振检查非肿块样强化的诊断与鉴别诊断[C].第八届中华放射学会全国心胸影像学术大会暨第二届广东省心胸年会论文集.2008:51-52.
  • 3李志,钱明理,汪登斌,阮玫,王丽君,柴维敏,严福华.乳腺专用磁共振成像、乳腺X线摄影及超声检查对乳腺癌诊断价值的对照研究[J].临床放射学杂志,2012,31(6):794-799. 被引量:39
  • 4Hillman BJ, Harms SE, Stevens G, et al. Diagnostic performance of a dedicated 1.5-T breast MR imaging system[J]. Radiology,2012,265(1):51-58.
  • 5Uematsu T, Kasami M. High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: an analysis of their features as significant predictors of malignancy [J]. AJR Am J Roentgenol,2012,198(5):1223-1330.
  • 6刘炳光,曹满瑞,张方景,杜牧,朱志军,赵弘.BI-RADS~-MRI4类乳腺癌阳性预测值与亚分类的初探[J].临床放射学杂志,2012,31(6):804-808. 被引量:4
  • 7Eiada R, Chong J, Kulkarni S, et al. Papillary lesions of the breast: MRI, ultrasound, and mammographic appearances[J]. A JR Am J Roentgenol,2012,198(2):264-271.
  • 8Baltzer PA, Benndorf M, Dietzel M, et aL False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study[J]. Am J Roentgeno1,20 10,194(6):1658-1663.
  • 9Siegmann Ke, Moron HD, Baur A, et al. Diagnostic value of a breast MRI score for the prediction of malignancy of breast lesions detected solely with MRI[J]. Rofo,2009,181 (6):556-563.
  • 10Demartini WB, Kurland BF, Gutierrez RL, et al. Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics[J]. Eur Radiol,2011,21 (8): 1609-1617.

二级参考文献37

  • 1顾雅佳,汪晓红,肖勤,杨文涛,曾炜,唐峰,毛健,郑晓静,彭卫军,冯晓源.乳腺导管原位癌及其微浸润的磁共振成像评价[J].中华放射学杂志,2007,41(3):248-253. 被引量:43
  • 2Rebecca S, Elizabeth W, Otis B, et al. The impact of eliminating so- cioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin,2011,61:212.
  • 3Ting-Kai Leung, Pai-Jung Huang, Chi-Ming Lee, et al. Can Breast Magnetic Resonance Imaging Demonstrate Characteristic Findings of Preoperative Ductal Carcinoma In Situ in Taiwan Residents Women? Asian Journal of Surgery ,2010,33 : 143.
  • 4American College of Radiology(ACR). Breast imaging reporting and data system (BI-RADS). 4thed, Reston : American Cofiege of Radiol- ogy, 2003,1.
  • 5Alexander H, Andrea T, Marcus S, et al. Preoperative assessment of breast cancer: sonography versus MR imaging. AJR,2002,179 : 1493.
  • 6Berg WA, Gutierrez L, NessAiver MS, et al. Diagnostic Accuracy of Mammography, Clinical Examination, US, and MR Imaging in Pre- operative Assessment of Breast Cancer. Radiology,2004,233:830.
  • 7Nothacker M, Duda V, Hahn M, et al. Early detection of breast cane-er: benefits and risks of supplemental breast ultrasound in asympto- matic women with mammographically dense breast tissue. A system- atic review. BMC Cancer,2009,9:335.
  • 8Nagao Y, Kawaguchi Y, Sugiyama Y, et al. Relationship between mammographie density and the risk of breast cancer in Japanese women : a case-control study. Breast Cancer,2003,10:228.
  • 9Ursin G, Ma H, Wu AH, et al. Mammographic density and breast cancer in three ethnic groups. Cancer Epidemiol Biomarkers Prev, 2003,12:332.
  • 10van Gils CH, Otten JD, Hendriks JH, et al. High mammographic breast density and its implications for the early detection of breast cancer. J Med Screen, 1999,6:200.

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