...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Medical Imaging >Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics
【24h】

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics

机译：使用图像引导计算流体动力学的患者特异性表征乳腺癌血流动力学

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The overall goal of this study is to employ quantitative magnetic resonance imaging (MRI) data to constrain a patient-specific, computational fluid dynamics (CFD) model of blood flow and interstitial transport in breast cancer. We develop image processing methodologies to generate tumor-related vasculature-interstitium geometry and realistic material properties, using dynamic contrast enhanced MRI (DCE-MRI) and diffusion weighted MRI (DW-MRI) data. These data are used to constrain CFD simulations for determining the tumor-associated blood supply and interstitial transport characteristics unique to each patient. We then perform a proof-of-principle statistical comparison between these hemodynamic characteristics in 11 malignant and 5 benign lesions from 12 patients. Significant differences between groups (i.e., malignant versus benign) were observed for the median of tumor-associated interstitial flow velocity (P = 0.028), and the ranges of tumor-associated blood pressure (P = 0.016) and vascular extraction rate (P = 0.040). The implication is that malignant lesions tend to have larger magnitude of interstitial flow velocity, and higher heterogeneity in blood pressure and vascular extraction rate. Multivariable logistic models based on combinations of these hemodynamic data achieved excellent differentiation between malignant and benign lesions with an area under the receiver operator characteristic curve of 1.0, sensitivity of 1.0, and specificity of 1.0. This image-based model system is a fundamentally new way to map flow and pressure fields related to breast tumors using only non-invasive, clinically available imaging data and established laws of fluid mechanics. Furthermore, the results provide preliminary evidence for this methodology's utility for the quantitative characterization of breast cancer.
机译：本研究的总体目标是采用定量磁共振成像（MRI）数据来限制患者特异性，计算流体动力学（CFD）模型和乳腺癌中的间质运输。我们使用动态对比增强MRI（DCE-MRI）和扩散加权MRI（DW-MRI）数据，开发图像处理方法以产生与肿瘤相关的脉管间隙几何和现实材料特性。这些数据用于约束CFD模拟，以确定每个患者独特的肿瘤相关的血液供应和间隙传输特性。然后，我们在12名患者的11例恶性和5个良性病变中进行原则上的血流动力学特征之间的原则上的统计比较。对于肿瘤相关的间质流速（P = 0.028）的中位数，观察到群体（即恶性与良性）之间的显着差异，以及肿瘤相关血压的范围（P = 0.016）和血管提取率（P = 0.040）。这种含义是恶性病变倾向于具有更大的间质流速，血压和血管提取率的更高的异质性。基于这些血流动力学数据的组合的多变量逻辑模型在受到1.0的接收器操作员特征曲线下的一个区域的恶性和良性病变之间取得了良好的差异化，灵敏度为1.0，1.0的特异性。基于图像的模型系统是一种基本上使用非侵入性，临床可用的成像数据和既定的流体力学规则地映射与乳腺肿瘤相关的流动和压力场的新方法。此外，结果为该方法提供了乳腺癌的定量表征的初步证据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号