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Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging

机译：扩散加权磁共振成像预测乳腺肿瘤恶性程度

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摘要

The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: (1) The design and construction of ultra-high gradient coils for MRI. (2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters (3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer.

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作者
Gareau, P. ; Rutt, B. K.;
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年度 2002
页码 1-12
总页数 12
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Magnetic resonance imaging; Malignancies; Breast cancer; Canada; Diagnosis(Medicine); Histology; Mammary glands; Perfusion; Angiogenesis;

机译：磁共振成像;恶性肿瘤;乳腺癌;加拿大;诊断（医学）;组织学;乳腺;灌注;血管生成;

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1. Feasibility of 7 Tesla breast magnetic resonance imaging determination of intrinsic sensitivity and high-resolution magnetic resonance imaging, diffusion-weighted imaging, and (1)H-magnetic resonance spectroscopy of breast cancer patients receiving neoadjuvant therapy. [J] . Korteweg MA, Veldhuis WB, Visser F, Investigative radiology . 2011,第6期

机译：7特斯拉乳腺磁共振成像测定固有灵敏度和高分辨率磁共振成像，扩散加权成像以及（1）H核磁共振波谱对接受新辅助治疗的乳腺癌患者的可行性。
2. Brain Tumors. A Multimodality Approach with Diffusion-Weighted Imaging, Diffusion Tensor Imaging, Magnetic Resonance Spectroscopy, Dynamic Susceptibility Contrast and Dynamic Contrast-Enhanced Magnetic Resonance Imaging. [J] . Brand?oL.A., ShiroishiM.S., LawM. Magnetic resonance imaging clinics of North America . 2013,第2期

机译：脑肿瘤。具有扩散加权成像，扩散张量成像，磁共振波谱，动态磁化率对比和动态对比增强磁共振成像的多模态方法。
3. Determination of malignancy and characterization of hepatic tumor type with diffusion-weighted magnetic resonance imaging: Comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived measurements [J] . DoblasS., WagnerM., LeitaoH.S., Investigative radiology . 2013,第10期

机译：弥散加权磁共振成像确定恶性肿瘤和肝肿瘤类型的表征：表观弥散系数与体素不相干运动衍生测量值的比较
4. An automatic tumor segmentation framework of cervical cancer in T2-weighted and diffusion weighted magnetic resonance images [C] . Yueying Kao, Wu Li, Huadan Xue, Conference on image processing . 2013

机译：T2加权和扩散加权磁共振图像中宫颈癌的自动肿瘤分割框架
5. Characterization of diffusion weighted magnetic resonance imaging for patients with brain tumors. [D] . Khayal, Inas Samir. 2009

机译：脑肿瘤患者的扩散加权磁共振成像的表征。
6. Role of diffusion-weighted magnetic resonance imaging in differentiating malignancies from benign ovarian tumors [O] . Xinhua Fan, Hongbin Zhang, Shuang Meng, 2015

机译：弥散加权磁共振成像在区分良性卵巢肿瘤恶性肿瘤中的作用
7. Comparison of apparent diffusion coefficient in diffusion-weighted magnetic resonance imaging and morphological assessment of breast tumors [O] . Tomasz Pawlik, Janusz Ryś 2017

机译：扩散加权磁共振成像中表观弥散系数与乳腺肿瘤形态学评估的比较

Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging

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