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动态增强MRI鉴别乳腺良恶性病变的价值
引用本文:汪晓红,耿道颖,顾雅佳,彭卫军,杨天锡. 动态增强MRI鉴别乳腺良恶性病变的价值[J]. 放射学实践, 2005, 20(8): 662-666
作者姓名:汪晓红  耿道颖  顾雅佳  彭卫军  杨天锡
作者单位:200032,上海,复旦大学附属肿瘤医院放射诊断科
摘    要:目的:探讨动态增强MRI对乳腺良恶性病变的鉴别诊断价值。方法:对147例经手术病理证实的乳腺疾病患者行MRI平扫和动态增强检查。分析比较乳腺良恶性病变的MRI征象。包括形态学、内部信号及其动态增强特征等,计算病灶峰值增强率Emax,峰值时间Tmax,最大强化速率Slope max,并根据病变最高强化区ROI测量值,绘制病灶的时间-信号强度曲线。结果:147例患者共计病灶152个。其中恶性87个,良性65个。分析比较病变的形态学及动态增强表现,发现乳腺良性病变多呈类圆形或分叶状.边缘光整,无毛刺、边界多清晰,强化均匀或伴有内部分隔等,动态强化参数Emax多大于90%,Tmax多大于240s。Slopemax。多大于3%/s;恶性病变则多为不规则形。边缘可伴毛刺,与周围结构分界不清,强化不均匀,病灶常呈环形强化,导管样强化,Emax多大于90%,Tmax多大于240s。而Slopemax多大于3%/s。时间-信号曲线类型恶性病变多表现为Ⅱ或Ⅲ型,良性病变则多为Ⅰ或Ⅳ型。结论:乳腺MRI不仅提供了病灶丰富的形态学信息,而且还通过动态增强进一步揭示病变的血流动力学特征,从而有助于对乳腺病变作出准确的定性诊断,更有效地鉴别诊断乳腺良恶性病变。

关 键 词:乳腺肿瘤  磁共振成像  乳腺X线摄影术
文章编号:1000-0313(2005)08-0662-05
收稿时间:2004-12-28
修稿时间:2005-05-17

The Dynamic-Contrast MRI Manifestation of Breast Lesions
Wang XiaoGong;Geng DaoYing;Gu YaJia;Peng WeiJun;Yang TianXi. The Dynamic-Contrast MRI Manifestation of Breast Lesions[J]. Radiologic Practice, 2005, 20(8): 662-666
Authors:Wang XiaoGong  Geng DaoYing  Gu YaJia  Peng WeiJun  Yang TianXi
Abstract:Obiective:To investigate the value of contrasted MRI on diagnosis of breast lesions.Methods:147 patients were enrolled in this study who were confirmed as breast lesions verified by surgery and histopathology.All the lesions were evaluated by plain and contrasted MRI.The lesion detectability of T_1WI,T_2WI,and contrasted series,the signal intensity character,enhancement pattern,morphology manifestation of the lesions were observed.Results:147 patients had 87 malignant and 65 benign lesions.There were significant difference between benign and malignant tumors on enhancement homogenity,morphology and margin characteristics (P<0.05).According to the morphology character and enhancement pattern,the rate of sensitivity,specifity and accuracy were 95.5%,83.9%,90.2%.Conclusion:Enhanced MRI is better than plain exam on lesion detection.Benign and malignant breast tumors can be differentiated according to the morphology characteristic and enhancement pattern.
Keywords:Breast neoplasms   Magnetic resonance imaging   Mammography
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