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MSCT灌注成像在乳腺肿瘤诊断中的应用
引用本文:王建华,赵志清,罗帝林,候瑜,杨茂洪,专庆春.MSCT灌注成像在乳腺肿瘤诊断中的应用[J].实用全科医学,2008,6(8):856-857.
作者姓名:王建华  赵志清  罗帝林  候瑜  杨茂洪  专庆春
作者单位:广东医学院附属深圳沙井医院放射科,深圳市518104
基金项目:广东省深圳市宝安区科技局科技计划项目
摘    要:目的评价MSCT灌注测量对乳腺肿块病变的诊断价值。方法对21例体检或钼靶检查发现乳腺肿块性病变者(28个)行多层螺旋CT灌注扫描,使用Dynamic CT perfusion system软件包,对生成的动态图像数据和图像强度随时间变化的相关信息进行分析,考察各种与灌注相关的参数情况,并进行统计学分析。结果乳腺癌组血流量(BF):(36.34±15.28)ml/(min·100g),血容量(BV):(14.56±8.43)ml/100g,平均通过时间(MTT):(28.58±13.45)s;血管表面通透性(PS):(17.23±11.54)ml/(min·100g),良性肿块组BF:(16.63±9.76)ml/(min·100g);BV:(4.95±3.14)ml/100 g;MTT:(26.12±10.18)s;PS:(4.15±2.38)ml/(min·100g),2组BF、BV、PS之间差异有统计学意义(P〈0.05)。结论乳腺恶性肿块的血流量和血容量明显高于良性肿块,在乳腺肿块性病变的良、恶性鉴别诊断中有较高的参考价值。

关 键 词:乳腺肿瘤  MSCT  灌注

Application of Multislice Computed Tomography Perfusion Imaging in Diagnosis of Breast Tumor
Institution:WANG Jian-hua, ZHAO Zhi-qing ,LUO Di-lin, et al.( Department of Radiology, Sharing Affiliated Hospital, Guangzhou Medical College, Guangdong 518104,China)
Abstract:Objective To evaluate the diagnostic value of muhislice computed tomography(MSCT) perfusion imaging in the diagnosis of breast mass. Methods 21 cases with breast mass( 28 lumps) founded by health examination or mammography were scanned by MSCT perfusion. Dynamic CT perfusion system software were used analyze the data of creating dynamic picture and the relative information of image intention changes with time change. Every parameters related to perfusion were studied and analyzed by statistics. Results The BF, BV,MTT and PS was (36.34±15.28) ml/( min·100 g), ( 14.56±8.43 ) ml/100 g, (28.58±13.45 ) s and ( 17.23±11.54) ml/( min·100 g) respectively in the breast cancer group, and ( 16.63±9.76) ml/ (min·100 g), (4.95 ± 3.14) ml/100 g, (26.12 ± 10.18)s, (4.15 ±2.38)ml/( min·100 g) respectively in the benign mass group. There were significant difference in BF, BV and PS between the two groups ( P 〈 0.05 ). Conclusions The BV and BF of malignant mass were higher than that of benign mass. This character can be used to differentiate the nature of breast lesions.
Keywords:Breast tumor  Muhislice computed tomography  Perfusion
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