首页> 外文会议>Ultrasonic Imaging and Signal Processing; Progress in Biomedical Optics and Imaging; vol.7 no.33 >Breast Tumor Angiogenesis Analysis Using 3-D Power Doppler Ultrasound
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Breast Tumor Angiogenesis Analysis Using 3-D Power Doppler Ultrasound

机译:使用3-D功率多普勒超声检查乳腺癌肿瘤血管生成

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Angiogenesis is the process that correlates to tumor growth, invasion, and metastasis. Breast cancer angiogenesis has been the most extensively studied and now serves as a paradigm for understanding the biology of angiogenesis and its effects on tumor outcome and patient prognosis. Most studies on characterization of angiogenesis focus on pixel/voxel counts more than morphological analysis. Nevertheless, in cancer, the blood flow is greatly affected by the morphological changes, such as the number of vessels, branching pattern, length, and diameter. This paper presents a computer-aided diagnostic (CAD) system that can quantify vascular morphology using 3-D power Doppler ultrasound (US) on breast tumors. We propose a scheme to extract the morphological information from angiography and to relate them to tumor diagnosis outcome. At first, a 3-D thinning algorithm helps narrow down the vessels into their skeletons. The measurements of vascular morphology significantly rely on the traversing of the vascular trees produced from skeletons. Our study of 3-D assessment of vascular morphological features regards vessel count, length, bifurcation, and diameter of vessels. Investigations into 221 solid breast tumors including 110 benign and 111 malignant cases, the p values using the Student's t-test for all features are less than 0.05 indicating that the proposed features are deemed statistically significant. Our scheme focuses on the vascular architecture without involving the technique of tumor segmentation. The results show that the proposed method is feasible, and have a good agreement with the diagnosis of the pathologists.
机译:血管生成是与肿瘤生长,侵袭和转移相关的过程。乳腺癌血管生成已得到最广泛的研究,现在已成为理解血管生成生物学及其对肿瘤预后和患者预后的影响的范例。大多数关于血管生成特征的研究更多地关注像素/体素计数,而不是形态分析。然而,在癌症中,血流很大程度上受形态变化的影响,例如血管数量,分支模式,长度和直径。本文提出了一种计算机辅助诊断(CAD)系统,该系统可以使用3-D功率多普勒超声(US)量化乳腺肿瘤的血管形态。我们提出了一种从血管造影术中提取形态学信息并将其与肿瘤诊断结果联系起来的方案。首先,3-D细化算法有助于将血管缩小到其骨骼中。血管形态的测量极大地依赖于骨骼产生的血管树的遍历。我们对血管形态特征的3-D评估研究涉及血管计数,长度,分叉和血管直径。在对包括110例良性和111例恶性病例在内的221例实体乳腺肿瘤进行的调查中,使用Student t检验对所有特征进行的p值均小于0.05,表明所提出的特征被认为具有统计学意义。我们的计划集中在不涉及肿瘤分割技术的血管结构上。结果表明,该方法是可行的,与病理学家的诊断具有良好的一致性。

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