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女性乳腺癌MRI扩散特征与HER-2表达相关性初步研究 被引量:1

A Preliminary Study on the Correlation between MRI Diffusion Characteristics and HER-2 Expression in Female Breast Cancer
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摘要 目的:探讨女性乳腺癌MR扩散加权成像(DWI)表观扩散系数(ADC)与HER-2表达的相关性。方法:回顾性分析2018年至2019年于本院就诊并经手术证实的31例女性乳腺癌患者MR功能成像中病灶组织的扩散特征及ADC的范围,并使用免疫组织化学方法观察HER-2受体表达的情况。结果:乳腺癌组织在DWI图像b=0序列上呈等信号,而在b=800序列上呈高信号;所有病例病灶组织ADC的范围约为(0.78±0.18)×10^-3/mm^2;HER-2阳性表达的患者ADC范围约为(0.88±0.27)×10^-3/mm^2;HER-2阴性表达的患者ADC范围约为(0.77±0.19)×10^-3/mm^2。结论:HER-2阳性表达的患者ADC值较阴性表达者的ADC高,在ADC为(0.88±0.27)×10^-3/mm^2范围内HER-2阳性表达率较高,由此可见MR功能成像中ADC对女性乳腺癌患者的临床病理分型及术后治疗方案的选择有重要的参考意义。 Objective:To explore the correlation between MR diffusion weighted imaging(DWI)apparent diffusion coefficient(ADC)value and HER-2 expression in middle-aged and elderly women with breast cancer.Methods:Retrospective analysis of the diffusion characteristics and ADC values of lesion tissue in MR functional imaging of 31 female breast cancer patients who were treated in our hospital from 2018 to 2019 and confirmed by surgery.Body expression.Results:The middle-aged and elderly breast cancer tissues showed high signals on the DWI images(b=0,b=800),and the cancer tissue signals were higher on the b=800 sequence than on the b=0 sequence;the range of ADC values was approximately(0.76±0.10)×10^-3/mm^2;ADC value range of patients with HER-2 positive expression is approximately(0.83±0.10)×10^-3/mm^2;ADC value range of patients with HER-2 negative expression is approximately(0.71±0.10)×10^-3/mm^2.Conclusion:The ADC value of patients with HER-2 positive expression is higher than that of negative expression,and the HER-2 positive expression rate is higher within the range of ADC value(0.83±0.10)×10^-3/mm^2.It can be seen that the ADC value in MR functional imaging has important reference significance for the clinicopathological classification and postoperative treatment options of middle-aged and elderly female breast cancer patients.
作者 吕雪飞 胡少平 LV Xuefei;HU Shaoping(Union Wuhan Red Cross Hospital(Wuhan Red Cross Hospital),Wuhan,430000,China)
出处 《CT理论与应用研究(中英文)》 2020年第5期584-590,共7页 Computerized Tomography Theory and Applications
关键词 乳腺癌 MRI HER-2 breast cancer MRI HER-2
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