Bansal Richa, Shah Viral, Aggarwal Bharat
Department of Radiodiagnosis, Max Super Speciality Hospital, New Delhi, India.
Indian J Radiol Imaging. 2015 Oct-Dec;25(4):397-403. doi: 10.4103/0971-3026.169455.
To distinguish between benign and malignant breast lesions on the basis of their signal intensity on diffusion-weighted imaging and their apparent diffusion coefficient (ADC) values at 3 T MRI, along with histopathological correlation.
A retrospective analysis of 500 patients who underwent 3 T MRI between August 2011 and May 2013 was done. Of these, 226 patients with 232 lesions that were proved by histopathology were included in the study. ADC values were calculated at b values of 0, 1000, and 1500 s/mm(2) after identification on contrast-enhanced images and appropriate ROI(Region of interest) placement. ADC value and histopathology correlation was analyzed.
Out of 232 lesions, 168 lesions were histologically malignant and 64 were histologically benign. With an ADC cut-off value of 1.1 ×10(-3) mm(2)/s for malignant lesions, a sensitivity of 92.80% and specificity of 80.23% was obtained. Out of 12/232 false-negative lesions, 6 were mucinous carcinoma in which a high ADC value of 1.8-1.9 ×10(-3) mm(2)/s was obtained. Purely DCIS (Ductal carcinoma in situ) lesions presenting as non-mass-like enhancement had a high ADC value of 1.2-1.5 ×10(-3) mm(2)/s, thereby reducing specificity.
Diffusion-weighted Imaging and quantitative assessment by ADC values may act as an effective parameter in increasing the diagnostic accuracy and specificity of contrast-enhanced breast MRI in characterization of breast lesions.
基于乳腺病变在3T磁共振成像(MRI)扩散加权成像上的信号强度及其表观扩散系数(ADC)值,结合组织病理学相关性,区分乳腺良恶性病变。
对2011年8月至2013年5月期间接受3T MRI检查的500例患者进行回顾性分析。其中,纳入226例有232个经组织病理学证实的病变的患者进行研究。在对比增强图像上识别病变并放置合适的感兴趣区(ROI)后,计算b值为0、1000和1500 s/mm²时的ADC值。分析ADC值与组织病理学的相关性。
232个病变中,168个病变组织学为恶性,64个为组织学良性。对于恶性病变,ADC截止值为1.1×10⁻³ mm²/s时,敏感性为92.80%,特异性为80.23%。在232个病变中有12个假阴性病变,其中6个为黏液癌,其ADC值较高,为1.8 - 1.9×10⁻³ mm²/s。表现为非肿块样强化的单纯导管原位癌(DCIS)病变ADC值较高,为1.2 - 1.5×10⁻³ mm²/s,从而降低了特异性。
扩散加权成像及通过ADC值进行定量评估可作为提高对比增强乳腺MRI对乳腺病变特征诊断准确性和特异性的有效参数。