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中国癌症防治杂志 ›› 2017, Vol. 9 ›› Issue (6): 491-493.doi: 10.3969/j.issn.1674-5671.2017.06.16

• 临床经验 • 上一篇    下一篇

乳腺癌3.0T MRI动态增强及扩散加权成像特点

  

  1. 南宁市第二人民医院MRI室
  • 出版日期:2017-12-25 发布日期:2018-01-29

Imaging features of 3.0T MRI dynamic enhanced scanning and diffusion-weighted imaging in breast cancer 

  • Online:2017-12-25 Published:2018-01-29

摘要:

目的 分析乳腺癌3.0 T MRI动态增强及扩散加权成像(DWI)的表现特征。方法 回顾性分析经病理检查证实的36例乳腺癌的3.0T MRI影像资料,分析其表现。结果 乳腺癌MRI表现:平扫T1WI病灶呈等或稍低信号;T2WI呈等或稍高信号;肿块形状不规则,部分呈深浅不同程度分叶状,边界模糊,并见毛刺征。DWI像:所有病灶均呈高信号,ADC图呈低信号ADC值为(0.97±0.22)×10-3 mm2/s。动态增强示:不均匀强化,多呈斑点状、条片状或团状,部分病灶周围血管影增多;时间-信号强度曲线:流出型(Ⅲ型)曲线29例(80.6%);平台型(Ⅱ型)型曲线5例(13.9%); 流入型(Ⅰ型)曲线2例(5.5%)。36例中34例诊断为乳腺癌,2例误诊为纤维腺瘤,诊断符合率为94.4%。结论 乳腺癌具有一定MRI表现特征,结合3.0T MRI动态增强及DWI检查对乳腺癌的诊断具有较高的应用价值。

关键词: 乳腺肿瘤, 磁共振成像, 扩散加权成像

Abstract:

Objective To investigate the imaging features of breast cancer in 3.0T MRI dynamic enhanced scanning and diffusion-weighted imaging (DWI). Methods 3.0T MRI imaging data were analyzed for 36 patients with breast cancer confirmed by surgery and pathology in our hospital. Results Breast cancer presented an equal or slightly lower signal based on normal MRI and T1-weighted imaging;it presented equal or slightly higher signal on T2-weighted imaging.Tumor shape was irregular and showed different depth leaflets,fuzzy boundaries,and visible spicule signs. DWI showed all lesions as presenting high signal,while ADC presented low signal. Dynamic enhancement led to uneven reinforcement and always presented as motting,strip or mass. Peripheral vascular shadow around the partial lesion was increased. The time-signal intensity curve showed a type Ⅲ curve in 29 cases (80.6%),a type Ⅱ curve in 5 cases (13.9%),and a typeⅠ curve in only 2 cases (5.5%). A total of 34 of 36 cases were correctly diagnosed as breast cancer,while the remaining 2 cases were misdiagnosed as fibroadenoma. The diagnostic coincidence rate was 94.4%. Conclusion 3.0T MRI dynamic enhanced scanning and DWI correlate well for diagnosis of breast cancer.

Key words: Breast neoplasmas, Magnetic resonance imaging, Diffusion weighted imaging