Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo.

Erik N Taylor, Yao Ding, Leon Lin, George E Aninwene, Matthew P Hoffman, Clifton D Fuller, Richard J Gilbert
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Abstract

Current approaches for studying tumor activity in patients involve molecular characterization in excised tissue or biopsied samples. Recognizing that tumors are composed of heterogeneous arrays of cells and their environment, there is a compelling rationale to explore the macroscopic organization of tumor tissue. We present a novel methodology for probing the micro-structural constituents of tumors in vivo utilizing generalized Q-space MRI. This approach employs varying magnetic field gradients and diffusion sensitivities to yield voxel-scale probability distribution functions of proton diffusivity, and then maps multi-voxel cellular alignment with tractography. Using this methodology, we describe the presence of macroscopic organizational features in patients with head and neck cancers, specifically depicting regional differences between the geometrically coherent periphery and incoherent core region. Such methods may comprise a method for assessing attributes of tumor biology in vivo and for predicting the response of such tumors to various drugs and interventions.

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广义q空间MRI显示体内肿瘤结构的宏观模式。
目前研究患者肿瘤活性的方法包括在切除组织或活检样本中进行分子表征。认识到肿瘤是由异质细胞阵列及其环境组成的,有一个令人信服的理由来探索肿瘤组织的宏观组织。我们提出了一种利用广义q空间MRI探测体内肿瘤微观结构成分的新方法。该方法利用不同的磁场梯度和扩散灵敏度来获得质子扩散率的体素尺度概率分布函数,然后利用束状图绘制多体素细胞排列图。使用这种方法,我们描述了头颈癌患者宏观组织特征的存在,特别是描绘了几何上连贯的外围和不连贯的核心区域之间的区域差异。这种方法可以包括用于评估体内肿瘤生物学属性和用于预测这种肿瘤对各种药物和干预的反应的方法。
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Generalized Q-space MRI reveals macroscopic patterns of tumor architecture in vivo. A Simulation Study on a Single-Unit Wireless EEG Sensor. A Low Power, Parallel Wearable Multi-Sensor System for Human Activity Evaluation. SIFT-Based Indoor Localization for Older Adults Using Wearable Camera. Assessing Physical Performance in Free-Living Older Adults with a Wearable Computer.
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