相关实验视频

Updated: Jul 17, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

初级脑淋巴瘤的多参数MRI:扩散性皮质图像 (DKI),动态对比增强 (DCE) 和动态感应对比 (DSC) MRI技术之间的相关性

Valentina Ferrazzoli¹, Silvia Minosse², Eliseo Picchi³

¹Neuroradiology Unit, University Hospital of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

|December 4, 2024

概括

扩散曲解成像 (DKI) 参数通过与初级中枢神经系统淋巴瘤 (PCNSL) 中的动态对比增强 (DCE) 和动态敏感性对比 (DSC) -MRI perfusion metrics相关联来显示可靠性. 这些发现表明,DKI提供了超越标准传播模型的有价值信息.

科学领域:

神经成像是一种神经成像.
放射学放射学是一门学科.
在瘤学瘤学.

背景情况:

主要中枢神经系统淋巴瘤 (PCNSL) 的诊断和特征依赖于先进的MRI技术.
扩散曲解成像 (DKI) 提供了超越标准扩散权重成像 (DWI) 的组织微观结构的洞察力.
动态对比增强 (DCE) -MRI和动态敏感性对比 (DSC) -MRI的输液指标提供了关于瘤血管性的功能信息.

研究的目的:

通过将它们与DCE-MRI和DSC-MRI的 perfusion metrics相关联,来验证DKI参数的可靠性.
评估与PCNSL标准扩散模型相比,DKI的附加值.

主要方法:

在新诊断的爱斯坦-巴尔病毒阴性PCNSL患者中分析了15个病变.
使用5个b值 (0-2500秒/毫米2) 获取DKI.
进行了DCE-MRI (10分钟扫描,5秒时间分辨率) 和DSC-MRI (75秒扫描,40个动态体积). 使用了斯皮尔曼的Rho相关性 (p < 0.05显著性).

主要成果:

在明显扩散系数 (ADC) 和K_ep (Rho = -0.52,p = 0.049) 之间发现了强烈的反相关性.
观察到K和相对脑血量 (relCBV) (Rho = 0.62,p = 0.016) 之间存在显著的关系.
DKI参数与DCE和DSC指标都显示出相关性.

结论:

DKI参数与PCNSL中的DCE和DSC perfusion指标相关,这表明了增强的诊断信息.
与标准扩散模型相比,DKI提供了额外的见解,其与 perfusion 参数的相关性证明了这一点.
与DKI参数相比,ADC与K_ep的相关性不那么显著.

关键词:

扩散曲解成像 (DKI) 是一种扩散曲解成像技术.动态对比增强磁共振成像 (DCE-MRI) 技术动态灵敏度对比磁共振成像 (DSC-MRI) 的研究.主要中枢神经系统淋巴瘤 (PCNSL)

更多相关视频

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Multiplexed Fluorescent Immunohistochemical Staining, Imaging, and Analysis in Histological Samples of Lymphoma

Published on: January 9, 2019

Author Spotlight: Efficient Detection of Immune Cell-Infiltration in Cancer Tissues Using Fluorescent Immunohistochemistry

Author Spotlight: Efficient Detection of Immune Cell-Infiltration in Cancer Tissues Using Fluorescent Immunohistochemistry

Published on: January 26, 2024

相关概念视频

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...