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Radiology. 2007 Dec;245(3):684-91. doi: 10.1148/radiol.2453062061.
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Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.使用经验数学模型进行动态对比增强磁共振成像诊断可疑乳腺病变
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American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.美国癌症协会关于以MRI作为乳房X线摄影辅助手段进行乳房筛查的指南。
CA Cancer J Clin. 2007 Mar-Apr;57(2):75-89. doi: 10.3322/canjclin.57.2.75.
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Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies.动态对比增强磁共振成像(DCE-MRI)研究中房室模型和无模型分析稳健性的比较研究。
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8
Estimating the arterial input function using two reference tissues in dynamic contrast-enhanced MRI studies: fundamental concepts and simulations.在动态对比增强磁共振成像研究中使用两种参考组织估计动脉输入函数:基本概念与模拟
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9
Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time.
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动态对比增强磁共振成像(DCEMRI)中脉冲响应函数(IRF)分析的一种新方法:一项模拟研究。

A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

作者信息

Fan Xiaobing, Karczmar Gregory S

机构信息

Department of Radiology, University of Chicago, Chicago, IL 60637, USA.

出版信息

Magn Reson Med. 2009 Jul;62(1):229-39. doi: 10.1002/mrm.21995.

DOI:10.1002/mrm.21995
PMID:19449381
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2927981/
Abstract

The purpose of this research was to develop a novel numerical procedure to deconvolute the arterial input function (AIF) from contrast concentration vs. time curves and to obtain the impulse response functions (IRFs) from dynamic contrast-enhanced MRI (DCEMRI) data. Numerical simulations were performed to study variations of contrast concentration vs. time curves and the corresponding IRFs. The simulated contrast media concentration curves were generated by varying the parameters of an empirical mathematical model (EMM) within reasonable ranges based on a previous experimental study. The AIF was calculated from plots of contrast media concentration vs. time in muscle under assumption that they are well approximated by the "two-compartment model" (TCM). A general simple mathematical model of the IRF was developed, and the physiological meaning of the model parameters was determined by comparing them with the widely accepted TCM. The results demonstrate that the deconvolution procedure developed in this research is a simple, robust, and useful technique. In addition, "impulse response analysis" leads to the derivation of novel parameters relating to tumor vascular architecture, and these new parameters may have clinical utility.

摘要

本研究的目的是开发一种新的数值程序,用于从对比剂浓度与时间曲线中解卷积动脉输入函数(AIF),并从动态对比增强磁共振成像(DCEMRI)数据中获得脉冲响应函数(IRF)。进行了数值模拟以研究对比剂浓度与时间曲线以及相应IRF的变化。基于先前的实验研究,通过在合理范围内改变经验数学模型(EMM)的参数来生成模拟的对比剂浓度曲线。在假设肌肉中对比剂浓度与时间的曲线能很好地用“双室模型”(TCM)近似的情况下,从这些曲线计算AIF。开发了一个通用的简单IRF数学模型,并通过将模型参数与广泛接受的TCM进行比较来确定其生理意义。结果表明,本研究中开发的解卷积程序是一种简单、稳健且有用的技术。此外,“脉冲响应分析”可导出与肿瘤血管结构相关的新参数,这些新参数可能具有临床应用价值。