Partain C L, Kulkarni M V, Price R R, Fleischer A C, Page D L, Malcolm A W, Winfield A C, James A E
Cardiovasc Intervent Radiol. 1986;8(5-6):292-9. doi: 10.1007/BF02552365.
Thirty-two patients with breast abnormalities and 10 normal volunteers were examined with magnetic resonance imaging (MRI) utilizing a 0.5-Tesla superconducting magnet imaging system. Sagittal, coronal, and transverse breast imaging with the 50-cm body coil and with a specialized 16 X 8 cm breast coil allowed the evaluation of a single breast. Soft-tissue contrast was clearly apparent using proton density-weighted, T1 weighted, calculated T1 images. In addition, the feasibility and potential clinical utility of three-dimensional color imaging was evaluated using computer-based interactive algorithms for edge detection of the breast and for abnormal structures within the breast. MR scan data were correlated with conventional xeromammography, ultrasound, clinical, data, and pathological specimens. In vivo and in vitro breast imaging was evaluated in a feasibility study. It was concluded that MR imaging is a most sensitive modality for the identification of breast lesions, especially when the adjacent normal tissue is primarily fat. There does appear to be significant overlap in soft-tissue contrast when the adjacent breast parenchymal tissue is fibrocystic in nature. The T1 parameter may be a relatively specific measure for identifying a malignant breast mass.
32例乳腺异常患者和10名正常志愿者接受了磁共振成像（MRI）检查，使用的是0.5特斯拉超导磁体成像系统。使用50厘米体线圈和专门的16×8厘米乳腺线圈进行乳腺矢状位、冠状位和横断位成像，以便对单个乳房进行评估。使用质子密度加权、T1加权、计算T1图像时，软组织对比度清晰可见。此外，使用基于计算机的交互式算法对乳房边缘和乳房内异常结构进行边缘检测，评估了三维彩色成像的可行性和潜在临床应用价值。MR扫描数据与传统干板乳腺摄影、超声、临床数据和病理标本进行了关联。在一项可行性研究中对体内和体外乳腺成像进行了评估。得出的结论是，MR成像是识别乳腺病变最敏感的方式，尤其是当相邻正常组织主要为脂肪时。当相邻乳腺实质组织本质上为纤维囊性时，软组织对比度似乎确实存在显著重叠。T1参数可能是识别乳腺恶性肿块的相对特异性指标。
