司丽芳,刘小娟,杨开颜,马怡尘,王丽,蒋涛.不同方法测量扩散峰度成像和体素内不相干运动模型DWI参数诊断乳腺肿块性病变[J].中国医学影像技术,2019,35(5):706~710
不同方法测量扩散峰度成像和体素内不相干运动模型DWI参数诊断乳腺肿块性病变
Diffusion kurtosis imaging and intravoxel incoherent motion DWI parameters measured with different methods for breast masses
投稿时间:2018-11-11  修订日期:2019-03-05
DOI:10.13929/j.1003-3289.201811062
中文关键词:  乳腺肿瘤  扩散磁共振成像  诊断,鉴别
英文关键词:breast neoplasms  diffusion magnetic resonance imaging  diagnosis, differential
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作者单位E-mail
司丽芳 首都医科大学附属北京朝阳医院放射科, 北京 100020  
刘小娟 首都医科大学附属北京朝阳医院放射科, 北京 100020 liuxiaojuan668@aliyun.com 
杨开颜 首都医科大学附属北京朝阳医院放射科, 北京 100020  
马怡尘 首都医科大学附属北京朝阳医院放射科, 北京 100020  
王丽 首都医科大学附属北京朝阳医院放射科, 北京 100020  
蒋涛 首都医科大学附属北京朝阳医院放射科, 北京 100020  
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中文摘要:
      目的 探讨不同方法测量扩散峰度成像(DKI)及体素内不相干运动(IVIM)模型DWI参数鉴别诊断乳腺良恶性肿块性病变的价值。方法 收集经病理或随访证实的59例乳腺肿块性病变患者(62个病变)。MR检查包括动态增强MRI、IVIM DWI和DKI。分别于动态增强MRI强化最明显处设置ROI,测量其标准扩散系数(ADCstand)、慢速扩散系数(ADCslow)、平均峰度值(mean kurtosis,MK)和平均扩散系数(mean diffusion,MD);于病灶实性部分最大层面沿病变边缘勾画ROI,测量病灶整体的ADCstand-max、ADCslow-max、ADCfast-max、MK-max、MD-max,比较乳腺良恶性病变间各参数的差异,并绘制ROC曲线,比较AUC。结果 62个病变中,良性36个,恶性26个。良恶性病变间ADCstand、ADCstand-max、ADCslow、ADCslow-max、MK、MK-max、MD、MD-max差异均有统计学意义(P均<0.001)。ROC曲线结果显示ADCslow联合MK的AUC最大(0.915),诊断乳腺良恶性病变的敏感度和特异度分别为88.9%和84.6%。ADCstand与ADCstand-max(Z=1.465,P=0.143)、ADCslow与ADCslow-max(Z=1.013,P=0.311)、MK与MK-max(Z=1.021,P=0.307)、MD与MD-max(Z=1.428,P=0.153)间AUC差异均无统计学意义。结论 各DKI和IVIM DWI参数对鉴别乳腺良恶性肿块具有较高诊断价值,不同测量方法之间鉴别诊断效能无明显差异。
英文摘要:
      Objective To investigate the value of diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) parameters measured using different methods in differentiating benign and malignant breast mass lesions. Methods Totally 59 patients (62 mass lesions) with breast mass lesions verified by pathologic results or follow up were enrolled. All patients underwent MR scanning, including dynamic contrast-enhanced MRI, IVIM DWI and DKI. ROI were placed at the most enhanced location, and the parameters of standard ADC (ADCstand), slow ADC (ADCslow), mean kurtosis (MK) and mean diffusion (MD) were measured. The whole lesions on the maximum slice were drawn as ROI, and the ADCstand-max, ADCslow-max, ADCfast-max, MK-max, MD-max were obtained. The differences of these parameters between benign and malignant breast lesions were analyzed. The diagnostic performance of these parameters was evaluated by ROC curve, the AUC was compared between the two methods. Results There were 26 malignant lesions and 36 benign lesions. All the parameters (ADCstand, ADCstand-max, ADCslow, ADCslow-max, MK, MK-max, MD, MD-max) were significantly different between malignant and benign lesions (all P<0.001). AUC of ADCslow combined MK was the highest (0.915), with the sensitivity of 88.9% and specificity of 84.6%. The differences of AUC between ADCstand and ADCstand-max (Z=1.465, P=0.143), ADCslow and ADCslow-max (Z=1.013, P=0.311), MK and MK-max (Z=1.021, P=0.307), MD and MD-max (Z=1.428, P=0.153) were not statistically significant. Conclusion For breast mass lesions, all DKI and IVIM DWI parameters are helpful to differentiating malignancy from benign lesions, and these parameters measured with different methods show equal diagnostic efficiency.
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