Low-order non-spatial effects dominate second-order spatial effects in the texture quantifier analysis of 18F-FDG-PET images.
Low-order non-spatial effects dominate second-order spatial effects in the texture quantifier analysis of 18F-FDG-PET images.
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DOI：
10.1371/journal.pone.0116574
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Grigsby PW
中科院分区：
文献类型：
--
作者：
Brooks FJ;Grigsby PW
应用图像纹理量化器来评估各种癌症的FDG-PET图像中观察到的肿瘤内异质性的兴趣越来越大。使用这些量化指标作为疾病结局和/或治疗反应的预后指标，结果不一致。我们研究了一些成熟的纹理量化器的FDG-PET独特的图像数据的普遍适用性。我们首先创建了计算机模拟的测试图像，其统计特性与宫颈癌的临床图像数据一致。我们特别隔离了二阶统计效应和低阶效应，并分析了常见纹理量化器响应人为图像变化的变化。然后，我们通过受试者工作特征（ROC）曲线和通过去趋势量化值的列联表分析，分析了为FIGOIIb宫颈癌计算的量化值。我们发现，图像纹理量化强烈依赖于低效应，如肿瘤体积和SUV分布。当控制低阶效应时，测试的图像纹理量化器不能仅辨别二阶效应。此外，临床肿瘤异质性研究的结果可以通过选择分析的患者人群进行调整。一些图像纹理量化器受到与研究人员表面上试图通过这些量化器评估的二阶效应不同的因素的强烈影响。
There is increasing interest in applying image texture quantifiers to assess the intra-tumor heterogeneity observed in FDG-PET images of various cancers. Use of these quantifiers as prognostic indicators of disease outcome and/or treatment response has yielded inconsistent results. We study the general applicability of some well-established texture quantifiers to the image data unique to FDG-PET. We first created computer-simulated test images with statistical properties consistent with clinical image data for cancers of the uterine cervix. We specifically isolated second-order statistical effects from low-order effects and analyzed the resulting variation in common texture quantifiers in response to contrived image variations. We then analyzed the quantifiers computed for FIGOIIb cervical cancers via receiver operating characteristic (ROC) curves and via contingency table analysis of detrended quantifier values. We found that image texture quantifiers depend strongly on low-effects such as tumor volume and SUV distribution. When low-order effects are controlled, the image texture quantifiers tested were not able to discern only the second-order effects. Furthermore, the results of clinical tumor heterogeneity studies might be tunable via choice of patient population analyzed. Some image texture quantifiers are strongly affected by factors distinct from the second-order effects researchers ostensibly seek to assess via those quantifiers.
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影响因子：
4.5
作者：
Hernandez, Benjamin;Olague, Gustavo;Romero, Eva
通讯作者：
Romero, Eva
影响因子：
3.7
作者：
Bagci U;Yao J;Miller-Jaster K;Chen X;Mollura DJ
通讯作者：
Mollura DJ
DOI：
10.1016/s0360-3016(02)02705-0
发表时间：
2002-06-01
影响因子：
7
作者：
Miller, TR;Grigsby, PW
通讯作者：
Grigsby, PW
DOI：
10.1109/tits.2010.2095499
发表时间：
2011-06-01
影响因子：
8.5
作者：
Tang, Isabelle;Breckon, Toby P.
通讯作者：
Breckon, Toby P.
DOI：
10.1007/s10032-011-0166-4
发表时间：
2012-09-01
影响因子：
2.3
作者：
Hanusiak, R. K.;Oliveira, L. S.;Sabourin, R.
通讯作者：
Sabourin, R.