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用于体内受体生物化学估计的放射性药物动力学数据的自动制备。

Automatic preparation of radiopharmacokinetic data for in vivo estimation of receptor biochemistry.

作者信息

Xu J C, Vera D R, Stadalnik R C

机构信息

Department of Radiology, University of California, Davis Medical Center, Sacramento 95817, USA.

出版信息

J Nucl Med. 1996 Nov;37(11):1896-902.

PMID:8917199
Abstract

UNLABELLED

We present a fully automated region of interest (ROI) and motion correction program for the generation of heart and liver time-activity data resulting from a hepatic functional imaging study using [99mTc-]galactosyl-neoglycoalbumin (99mTc-NGA).

METHODS

The program automatically draws heart and liver ROI and corrects for lateral movement of the subject. Eighty-four 99mTc-NGA studies, consisting of 32 healthy subjects and 52 patients with liver disease, were processed and submitted to an automated kinetic analysis that estimates the subject's asialoglycoprotein receptor concentration [R]o.

RESULTS

When compared to time-activity data generated by operator-drawn ROIs without motion correction, the average reduced Chi-square of the kinetic analysis decreased significantly (p < 0.001) from 2.20 to 1.37 and the number of studies that satisfied quality control increased from 74 to 81 studies. Receiver operating characteristic of [R]o resulted in greater detectability (0.984 +/- 0.012 compared with 0.965 +/- 0.020) when automatic ROI generation was employed. Using the test criteria of 0.65 microM, the sensitivity of [R]o increased from 0.88 to 0.92 and the specificity increased from 0.96 to 0.97.

CONCLUSION

Automated definition of liver and heart ROIs with motion correction, that reduces observational noise, increased the success rate of the radiopharmacokinetic analysis from 88% to 96%.

摘要

未标注

我们展示了一种全自动的感兴趣区域(ROI)和运动校正程序,用于生成使用[99mTc-]半乳糖基新糖白蛋白(99mTc-NGA)进行的肝脏功能成像研究所得的心脏和肝脏时间-活性数据。

方法

该程序自动绘制心脏和肝脏ROI,并校正受试者的横向移动。对84项99mTc-NGA研究进行了处理,这些研究包括32名健康受试者和52名肝病患者,并进行了自动动力学分析,以估计受试者的去唾液酸糖蛋白受体浓度[R]o。

结果

与由操作人员绘制ROI且未进行运动校正所生成的时间-活性数据相比,动力学分析的平均约化卡方值从2.20显著降低至1.37(p < 0.001),并且满足质量控制的研究数量从74项增加到81项。当采用自动ROI生成时,[R]o的受试者工作特征曲线具有更高的可检测性(分别为0.984±0.012和0.965±0.020)。使用0.65 microM的测试标准,[R]o的敏感性从0.88提高到0.92,特异性从0.96提高到0.97。

结论

通过运动校正对肝脏和心脏ROI进行自动定义,减少了观测噪声,使放射性药物动力学分析的成功率从88%提高到96%。

相似文献

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Automatic preparation of radiopharmacokinetic data for in vivo estimation of receptor biochemistry.用于体内受体生物化学估计的放射性药物动力学数据的自动制备。
J Nucl Med. 1996 Nov;37(11):1896-902.
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Diagnostic performance of a receptor-binding radiopharmacokinetic model.一种受体结合放射性药物动力学模型的诊断性能
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