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磁共振T1灌注成像在乳腺良恶性肿瘤鉴别中的价值
引用本文:李莉,李洪福.磁共振T1灌注成像在乳腺良恶性肿瘤鉴别中的价值[J].中国基层医药,2012,19(19):2885-2886,I0001.
作者姓名:李莉  李洪福
作者单位:东营市人民医院放射科, 山东省东营,257091
摘    要:目的 探讨磁共振灌注成像在乳腺良恶性肿瘤鉴别中的价值.方法 选择经磁共振灌注成像诊断为乳腺病变患者68例,将诊断结果与病理检查对照分析.结果 经磁共振灌注成像行并行手术治疗,68例乳腺病变患者中,经病理证实良性肿瘤32例及恶性肿瘤36例;良性肿瘤Ⅰ型(流入型)、Ⅱ型(平台型)和Ⅲ型(廓清型)分别为78.1% (25/32)、18.7% (6/32)、3.2% (1/32),恶性肿瘤分别为2.8%(1/36)、33.3%(12/36)、63.9%(23/36),两组差异有统计学意义(P<0.05).结论 磁共振T1灌注成像对乳腺良恶性肿瘤鉴别有较高应用价值,且具有操作简单、无创的优点.

关 键 词:磁共振成像  乳腺  肿瘤  诊断

The value of magnetic resonance T1 perfusion imaging in differentiating benign and malignant breast tumors
LI Li , LI Hong-fu.The value of magnetic resonance T1 perfusion imaging in differentiating benign and malignant breast tumors[J].Chinese Journal of Primary Medicine and Pharmacy,2012,19(19):2885-2886,I0001.
Authors:LI Li  LI Hong-fu
Institution:(Department of Radiology, Dongying People's Hospital, Dongying , Shandong 257091, China)
Abstract:Objective To investigate the value of magnetic resonance perfusion imaging in differentiating benign and malignant breast tumors. Methods The subjects were confirmed by magnetic resonance perfusion imaging in the diagnosis of breast lesions in 68 patients, and histopathologic examination of the control and analysis of its results. Results After perfusion weighted magnetic resonance imaging line parallel operation therapy ,68 cases breast lesions in patients with pathologically confirmed,32 eases of benign tumor and .m~d~ :o'nant tumor in 36 eases ;further observa- tions on lesions of the morphology and dynamic enhanced performance,rendering their time-signal intensity curve,be- nign tumor type (inflow) ,type II (platform) and type III (clearance type) were 78.1% (25/32) ,18.7% (6/32), 3.2% (1/32) ,malignant tumor were 2.8% (1/36) ,33.3% (12/36) ,63.9% (25/36) ,two groups had significant difference ( P 〈 0.05 ). Conclusion Mr T1 perfusion imaging for differentiating benign and malignant breast tumors have high application value, and has the advantages of simple operation, noninvasive advantages, worthy of clinical application.
Keywords:MR imaging  Breast  Tumor  Diagnosis
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