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体内磁共振动态对比增强成像测量钆扩散系数:人源异种移植瘤的临床前研究。

In vivo measurement of gadolinium diffusivity by dynamic contrast-enhanced MRI: a preclinical study of human xenografts.

机构信息

Department of Oncologic Imaging, National Cancer Center, Singapore, Singapore.

出版信息

Magn Reson Med. 2013 Jan;69(1):269-76. doi: 10.1002/mrm.24246. Epub 2012 Mar 22.

Abstract

Compartmental tracer kinetic models currently used for analysis of dynamic contrast-enhanced MRI data yield poor fittings or parameter values that are unphysiological in necrotic regions of the tumor, as these models only describe microcirculation in perfused tissue. In this study, we explore the use of Fick's law of diffusion as an alternative method for analysis of dynamic contrast-enhanced MRI data in the necrotic regions. Xenografts of various human cancer cell lines were implanted in 14 mice that were subjected to dynamic contrast-enhanced MRI performed using a spoiled gradient recalled sequence. Tracer concentration was estimated using the variable flip angle technique. Poorly perfused and necrotic tumor regions exhibiting delayed and slow enhancement were identified using a k-means clustering algorithm. Tracer behavior in necrotic regions was shown to be consistent with Fick's diffusion equation and the in vivo gadolinium diffusivity was estimated to be 2.08 (±0.88) × 10(-4) mm(2)/s. This study proposes the use of gadolinium diffusivity as an alternative parameter for quantifying tracer transport within necrotic tumor regions.

摘要

目前用于分析动态对比增强 MRI 数据的房室示踪剂动力学模型在肿瘤坏死区域产生较差的拟合或非生理的参数值,因为这些模型仅描述了灌注组织中的微循环。在这项研究中,我们探索了使用菲克扩散定律作为替代方法来分析动态对比增强 MRI 数据在坏死区域中的应用。将各种人癌细胞系的异种移植物植入 14 只接受使用扰相梯度回波序列进行的动态对比增强 MRI 的小鼠中。使用可变翻转角技术估计示踪剂浓度。使用 k-均值聚类算法识别出灌注不良和坏死的肿瘤区域,这些区域表现出延迟和缓慢的增强。示踪剂在坏死区域的行为与菲克扩散方程一致,并且体内钆扩散系数估计为 2.08(±0.88)×10(-4)mm(2)/s。本研究提出使用钆扩散系数作为替代参数来量化坏死肿瘤区域内示踪剂的转运。

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