Agoston A T, Daniel B L, Herfkens R J, Ikeda D M, Birdwell R L, Heiss S G, Sawyer-Glover A M
Lucas Magnetic Resonance Imaging Center, Department of Radiology, Stanford University, 1201 Welch Rd, Palo Alto, CA 94304, USA.
Radiographics. 2001 Jan-Feb;21(1):217-26. doi: 10.1148/radiographics.21.1.g01ja22217.
Contrast material-enhanced magnetic resonance (MR) imaging of the breast has variable specificity for differentiation of breast cancer from other enhancing conditions. Two principal strategies to improve its specificity are rapid dynamic MR imaging and high-spatial-resolution MR imaging. A method was developed of combining contemporaneously acquired dynamic and high-spatial-resolution MR imaging data into a single integrated display. Whole-breast rapid dynamic data were condensed into a color map by using pharmacokinetic analysis. The pharmacokinetic results were combined with the high-spatial-resolution images with a new technique that preserves underlying morphologic details. This new method was evaluated by five radiologists for eight breast lesions, and the results were compared with those of the standard method of overlaying parametric map data. The radiologists' ratings showed a statistically significant preference for the intensity-modulated parametric map display method over the overlaid parametric display method for 10 of the 12 evaluation criteria. The new method enabled simultaneous visualization of pharmacokinetic and morphologic information, facilitated assessment of lesion extent, and improved the suppression of noise in the pharmacokinetic data. The ability to simultaneously assess both dynamic and high-spatial-resolution features may ultimately improve the specificity of breast MR imaging.
乳腺对比剂增强磁共振（MR）成像在鉴别乳腺癌与其他强化病变方面具有不同的特异性。提高其特异性的两种主要策略是快速动态MR成像和高空间分辨率MR成像。已开发出一种方法，可将同时采集的动态和高空间分辨率MR成像数据合并到单个综合显示中。通过药代动力学分析将全乳腺快速动态数据浓缩成彩色图。药代动力学结果通过一种保留基础形态学细节的新技术与高空间分辨率图像相结合。五位放射科医生对八个乳腺病变采用这种新方法进行评估，并将结果与叠加参数图数据的标准方法进行比较。在12项评估标准中的10项上，放射科医生的评级显示，与叠加参数显示方法相比，强度调制参数图显示方法在统计学上具有显著优势。新方法能够同时显示药代动力学和形态学信息，便于评估病变范围，并改善药代动力学数据中的噪声抑制。同时评估动态和高空间分辨率特征的能力最终可能提高乳腺MR成像的特异性。
