3.0t dce-mri与dwi联合应用对乳腺良恶性肿块鉴别诊断的价值

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1、授予单位代码10089学号或申请号13397HT於(£搿大5HebeiMedicalUniversity硕士学位论文在职科学学位3.0TDCE-MRI与DWI联合应用对乳腺良恶性肿块鉴别诊断的价值学位申请人：唐竹晓导师：康立清教授专业：影像医学与核医学二级学院：沧州市中心医院2015年3月河北医科大学学位论文使用授权及知识产权归属承诺本学位论文在导师(或指导小组)的指导下，由本人独立完成。本学位论文研究所获得的研究成果，其知识产权归河北医科大学所有。河北医科大学有权对本学位论文进行交流、公开和使用。凡发表与学位论文主要内容相关的论文,第一署名为单位河北医科大学

2、，试验材料、原始数据、申报的专利等知识产权均归河北医科大学所河北医科大学研究生学位论文独创性声明本论文是在导师指导下进行的研究工作及取得的研究成果，除了文中特别加以标注和致谢等内容外，文中不包含其他人已经发表或撰写的研究成果，指导教师对此进行了审定。本论文由本人独立撰写,文责自负。

3、A2f研究生签名•导师签章：;『净【广年『月4目录中文摘要·············································································1英文摘要······························

4、···············································4英文缩写·············································································7研究论文3.0TDCE-MRI及DWI联合应用对乳腺良恶性肿块鉴别诊断的价值前言·············································································8材料与方法······························

5、······································8结果·············································································11附图·············································································14附表·············································································21讨

6、论·············································································23结论·············································································27参考文献·······································································27综述磁共振成像对乳腺良恶性肿瘤鉴别诊断价值的研究进展··········30致谢·····

7、··············································································36个人简历·············································································37中文摘要3.0TDCE-MRI与DWI联合应用对乳腺良恶性肿块鉴别诊断的价值摘要目的：探讨3.0T动态增强磁共振（Dynamiccontrastenhancementmagneticresonanceimaging,DCE-MRI）与扩散加

8、权成像(Diffusionweighedimaging,DWI)对乳腺良恶性肿块鉴别诊断的价值。方法：对88例乳腺钼靶X线摄影和/或超声检查发现的乳腺肿块性病变行3.0T磁共振常规平扫、DWI及6期连续动态增强扫描，并对其MRI图像信息进行分析。依据美国放射学会提出的乳腺影像报告和数据系统-MRI（2013BI-RADS-MRI）的标准，依次观察病变的形态特点、内部强化特征、TIC曲线类型、早期强化率及DWI表现。MRI检查均采用SIEMENSVERIO3.0T超导型磁共振扫描仪，应用12通道乳腺专用相控阵表面线圈，所有数据的测量及图像后处理均在本机自带的Me

9、anCurve软件包上完成。采用SPS