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Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms

机译:X射线半举和先生自动图的乳房导管分支模式分类的比较

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We have analyzed the branching patterns of the breast ductal network visible in magnetic resonance (MR) autogalactograms - images of breast ducts which appear enhanced due to the presence of proteinacous or hemorrhagic material in the ducts. The enhanced portions of the ductal network were segmented separately in MRI slices acquired with a 3D GRASS sequence. A semi-automated region growing algorithm was used for segmentation. The ductal network was manually constructed from the segmented portions in each slice. The branching pattern was analyzed by calculating ramification (R-) matrices, whose elements represent the probabilities of branching at various levels of a ductal tree. The R-matrix elements have been used to classify the analyzed cases into those with and without radiological findings. The classification accuracy was estimated using the radiologists' reports as ground truth. An ROC analysis was performed to assess the classification accuracy. The classification of nine MR autogalactograms from eight women yielded an area under the ROC curve of A=0.73. This performance is comparable with our previous analysis of 25 2D x-ray galactograms from 15 women (A = 0.88). The observed results support our hypothesis that a relationship exists between the topological properties of the breast ductal network and the underlying breast pathology.
机译:我们已经分析了磁共振(MR)自动图中可见的乳房导管网络的分支图案 - 由于管道中存在蛋白质或出血材料而显得增强的乳房管道的图像。导管网络的增强部分分别在用3D草序列获取的MRI切片中分割。半自动区域生长算法用于分割。导管网络从每个切片中的分段部分手动构造。通过计算分枝(R-)矩阵来分析分支图案,其元素代表在导管树的各种水平下分支的概率。 R-Matrix元素已被用于将分析的病例分类为具有和无放射发现的人。使用放射科学家的报告估计分类准确性作为基本真理。进行ROC分析以评估分类准确性。八个女性的九名初学室的分类产生了A = 0.73的ROC曲线下的面积。这种性能与我们以前的25名X射线半举的分析相当(A = 0.88)。所观察结果支持我们的假设,即乳房导管网络的拓扑性质与潜在的乳房病理学之间存在关系。

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