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用于动态对比增强MRI数据准确且可重复定量分析的新型混合技术。

New hybrid technique for accurate and reproducible quantitation of dynamic contrast-enhanced MRI data.

作者信息

Li Ka-Loh, Jackson Alan

机构信息

Department of Radiology, University of California-San Francisco, San Francisco, California, USA.

出版信息

Magn Reson Med. 2003 Dec;50(6):1286-95. doi: 10.1002/mrm.10652.

DOI:10.1002/mrm.10652
PMID:14648577
Abstract

The accuracy and precision of two major approaches for analyzing dynamic MRI data from the first passage of a Gd-DTPA contrast bolus are examined, using a Monte Carlo simulation. Method 1 fits the contrast concentration curve of the first pass to a two-compartment kinetic model to determine the tissue pharmacokinetic parameters. Method 2 decomposes intravascular and interstitial components of the first-pass curve based on a leakage profile (LP) model. Based on the results of these Monte Carlo simulations, a new "hybrid" method is proposed that combines both analytical approaches to optimize accuracy and precision of estimates of K(trans), v(e), and v(p). The new method was evaluated by computer simulation and used on experimental results from a patient with primary brain tumors. The new method has the potential to provide more accurate quantification of tissue plasma volume and vessel permeability.

摘要

利用蒙特卡罗模拟,研究了两种用于分析钆喷酸葡胺对比剂团注首次通过时动态磁共振成像(MRI)数据的主要方法的准确性和精确性。方法1将首次通过的对比剂浓度曲线拟合为双室动力学模型,以确定组织药代动力学参数。方法2基于渗漏曲线(LP)模型分解首次通过曲线的血管内和间质成分。基于这些蒙特卡罗模拟的结果,提出了一种新的“混合”方法,该方法结合了两种分析方法,以优化Ktrans、ve和vp估计值的准确性和精确性。通过计算机模拟对新方法进行了评估,并将其应用于一名原发性脑肿瘤患者的实验结果。新方法有可能更准确地量化组织血浆容量和血管通透性。

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