DCE和DWI在3T MRI鉴别乳腺良恶性肿块中的作用:一项横断面研究

A. Pavithra, P. Arasu, N. Jayaprakash, S. Kumar
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摘要

简介:动态对比增强磁共振成像(DCE-MRI)成像是表征乳房肿块的主要乳房MRI技术。弥散加权成像(DWI)是一种辅助MRI技术,用于区分乳腺良性和恶性肿块。目的:评价乳腺MRI结合dce和DWI鉴别乳腺良恶性肿块的诊断价值,并与组织病理学进行比较。材料和方法:本横断面研究于2013年7月至2015年4月在印度钦奈巴拉特扫描私人有限公司放射学和影像学部门进行。对51例经乳腺x线和/或超声检查发现可疑乳腺肿块的患者,采用通用电气(GE) 3型特斯拉磁共振成像(Tesla Magnetic Resonance Imaging)对其进行DCE-MRI和DWI评估。结果与组织病理学比较。计算DCE-MRI和DCE-MRI联合DWI的敏感性、特异性、阳性预测值(Positive Predictive Value, PPV)和阴性预测值(Negative Predictive Value, NPV)。采用SPSS 17.0版统计软件包和Open Epi软件进行统计分析。p值<0.05认为有统计学意义。结果:51例肿块中,良性26例,恶性25例。DCE-MRI表现为I型17例,II型11例,III型18例,良恶性鉴别的敏感性为88%,特异性为73.08%。DWI显示扩散受限26个,平均表观扩散系数(ADC)为1.108×10-3 mm2/s;无扩散受限25个,平均ADC为1.656 ×10-3 mm2/s。在DCE-MRI+DWI联合评估中,27个肿块为恶性,24个肿块为良性,与单独DCE-MRI或DWI相比,敏感性提高了96%,特异性提高了88.46%。结论:磁共振动态增强成像对乳腺肿块良恶性鉴别灵敏度高,特异性低。多参数MRI结合DWI和DCE-MRI增加了敏感性和特异性,从而提高了乳腺肿块评估的诊断效能。
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Role of DCE and DWI in Differentiating between Benign and Malignant Breast Masses using 3T MRI: A Cross-sectional Study
Introduction: Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) imaging is the mainstay of breast MRI techniques in characterising breast masses. Diffusion-weighted Imaging (DWI) is an adjunct MRI technique to differentiate between benign and malignant breast masses. Aim: To evaluate the diagnostic efficacy of breast MRI by combining DCE-MRI and DWI to differentiate benign from malignant breast masses and compare it with histopathology. Materials and Methods: The present cross-sectional study was conducted in the Department of Radiology and Imaging, Bharat Scans private limited, Chennai, India, from July 2013 to April 2015. A total of 51 patients with suspicious breast masses detected by mammography and/or ultrasonography were evaluated by DCE-MRI and DWI using General Electric (GE) 3 Tesla Magnetic Resonance Imaging. The results were compared with histopathology. Sensitivity, specificity, Positive Predictive Value (PPV) and Negative Predictive Values (NPV) were calculated for DCE-MRI and for the combined method using DCE-MRI with DWI. Statistical analysis was done using Statistical Package for the Social Sciences (SPSS) software version 17.0 and Open Epi software. A p-value <0.05 was considered statistically significant. Results: Out of the 51 masses, 26 were benign and 25 were malignant on histopathology. DCE-MRI showed a type I curve in 17 masses, type II curve in 11, and type III curve in 18, with a sensitivity of 88% and specificity of 73.08% in differentiating benign from malignant masses. In DWI, 26 masses showed diffusion restriction with a mean Apparent Diffusion Coefficient (ADC) value of 1.108×10-3 mm2/s and 25 masses showed the absence of diffusion restriction with a mean ADC value of 1.656x10-3 mm2/s. In the combined evaluation (DCE-MRI+DWI), 27 masses were classified as malignant and 24 masses were classified as benign with improved sensitivity of 96% and specificity of 88.46% as compared with DCE-MRI or DWI alone. Conclusion: Dynamic contrast-enhanced magnetic resonance imaging has high sensitivity in differentiating benign from malignant breast masses, but has low specificity. Multiparametric MRI combining DWI with DCE-MRI increases the sensitivity and specificity, hence improving the diagnostic efficacy for breast mass evaluation.
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