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[基于直接积分线性最小二乘回归法的99mTc-GSA简单动力学分析:基于三室模型的肝血流及受体指数计算]

[Simple kinetic analysis of 99mTc-GSA by direct integral linear least square regression method: calculation of hepatic blood flow and receptor index based on three-compartment model].

作者信息

Katada R, Shuke N, Saitoh Y, Yamamoto W, Aburano T, Sato J, Ishikawa Y

机构信息

Department of Radiology, Asahikawa Medical College.

出版信息

Kaku Igaku. 1998 Feb;35(2):85-91.

PMID:9567033
Abstract

To obtain both hepatic blood flow and an index of asialoglycoprotein receptor amount by simple calculation in the asialoglycoprotein receptor imaging with 99mTc-DTPA-Galactosyl Human Serum Albumin (99mTc-GSA), we have tested the applicability of the direct integral linear least square regression (DILS) method based on a linear 3-compartment model (Bronqvist, 1984) to the kinetic analysis of 99mTc-GSA scintigraphy. DILS method can provide hepatic blood flow (k1) and the product of receptor amount and forward binding rate constant (k1k3/k2) as a receptor index, without requiring iterative calculation and initial estimates of the parameters. To compare DILS method with nonlinear least square regression (NLS) method as a standard, data from 35 patients with liver dysfunction were analyzed by both methods. The effect of the data noise to parameter estimate were simulated, and both DILS and NLS method could provide reliable parameter estimate which is relatively insensitive to the data noise. In estimated model parameters, both hepatic blood flow (k1) and the receptor index (k1k3/k2) showed significant correlation between 2 methods (r2 = 0.96, p < 0.0001; r2 = 0.99, p < 0.0001, respectively). We concluded that DILS method was comparable to NLS method in determination of the model parameters and could be useful in the asialoglycoprotein receptor imaging.

摘要

在使用99mTc-DTPA-半乳糖基人血清白蛋白(99mTc-GSA)进行去唾液酸糖蛋白受体显像时,为了通过简单计算同时获得肝血流量和去唾液酸糖蛋白受体量的指标,我们测试了基于线性三室模型(Bronqvist,1984)的直接积分线性最小二乘回归(DILS)方法在99mTc-GSA闪烁显像动力学分析中的适用性。DILS方法可以提供肝血流量(k1)以及受体量与正向结合速率常数的乘积(k1k3/k2)作为受体指标,无需进行迭代计算和参数的初始估计。为了将DILS方法与作为标准的非线性最小二乘回归(NLS)方法进行比较,我们用这两种方法分析了35例肝功能不全患者的数据。模拟了数据噪声对参数估计的影响,DILS和NLS方法都能提供对数据噪声相对不敏感的可靠参数估计。在估计的模型参数中,肝血流量(k1)和受体指标(k1k3/k2)在两种方法之间均显示出显著相关性(分别为r2 = 0.96,p < 0.0001;r2 = 0.99,p < 0.0001)。我们得出结论,DILS方法在确定模型参数方面与NLS方法相当,可用于去唾液酸糖蛋白受体显像。

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1
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