Investigation of a new input function validation approach for dynamic mouse microPET studies
Investigation of a new input function validation approach for dynamic mouse microPET studies
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DOI：
10.1016/j.mibio.2003.12.002
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发表时间：
2004-01-01
影响因子：
3.1
通讯作者：
Barrio, JR
中科院分区：
文献类型：
--
作者：
Huang, SC;Wu, HM;Barrio, JR
目的：在动态小鼠微正电子发射断层扫描（PET）研究中，图像衍生的输入函数对于量化生物功能是理想的，但由此衍生的输入函数需要进行验证。使用连续血液样本进行常规验证在小鼠中很困难。我们介绍了理论基础并使用计算机模拟来展示一种新方法的能力，该方法仅需要每只小鼠少量的血液样本，但使用多个动物。程序：对 10 至 20 只动物进行 2-脱氧-2-[F-18]氟-D-葡萄糖 (FDG) 动力学（60 分钟）模拟，每只动物可获得 3 至 6 个血液样本。假设血液测量中的各种量/类型的噪声/误差，并且将不同量/类型的误差添加到真实输入函数以模拟源自图像的输入函数。通过统计技术检查血液样本和导出的输入函数之间的偏差，以评估该方法检测导出的输入函数中的模拟误差的能力。结果：对于总共 60 个血液样本和 10% 的测量噪声，可以以类似于 0.9 的统计功效和 95% 的置信度检测到图像导出的输入函数中 5% 的污染误差。该方法的功效与图像导出的输入函数中的误差大小直接相关，并且与所采集的血液样本的总数有关，但与血液样本的测量噪声成反比。 结论：新的验证方法预计可用于验证动态小鼠 microPET 研究中基于图像的方法导出的输入函数。 (C) 2004 Elsevier Inc. 保留所有权利。
PURPOSE: Image-derived input functions are desirable for quantifying biological functions in dynamic mouse micro positron emission tomography (PET) studies, but the input function so derived needs to be validated.Conventional validation using serial blood samples is difficult in mice. We introduced the theoretical basis and used computer simulations to show the capability of a new approach that requires only a small number of blood samples per mouse but uses multiple animals.PROCEDURES: 2-Deoxy-2-[F-18]fluoro-D-glucose (FDG) kinetics (60 minutes) were simulated for 10 to 20 animals with three to six blood samples available per animal. Various amounts/types of noise/errors in the blood measurements were assumed, and different amounts/types of errors were added to the true input function to simulate image-derived input function. Deviations between blood samples and the derived input function were examined by statistical techniques to evaluate the capability of the approach for detecting the simulated errors in the derived input function.RESULTS: For a total of 60 blood samples and a 10% measurement noise, a 5% contaminating error in image-derived input function can be detected with a statistical power of similar to0.9 and with a 95% confidence. The power of the approach is directly related to the error magnitude in the image-derived input function, and is related to the total number of blood samples taken, but is inversely related to the measurement noise of the blood samples.CONCLUSION: The new validation approach is expected to be useful for validating input functions derived with image-based methods in dynamic mouse microPET studies. (C) 2004 Elsevier Inc. All rights reserved.