论著摘要 |【Radiomics-PET】放射组学定量化:随机效应对纹理分析的影响意味着标准化的需求(双语版)

2018-01-25 15:02:30 admin 0
标签:   影像组学 PET 图像噪声 纹理特征

Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards.

发表日期: 2015.05.12   来源:Journal of Medical Imaging, 2015, 2 (4) :041002

作者:

Nyflot MJ11, Yang F11, Byrd D22, Bowen SR33 , Sandison GA11, Kinahan PE22.

作者介绍:

1. University of Washington , Department of Radiation Oncology, 1959 NE Pacific Street, Box 356043, Seattle, Washington 98195-6043, United States.

2. University of Washington , Department of Radiology, 1959 NE Pacific Street, Box 356043, Seattle, Washington 98195-6043, United States.

3. University of Washington , Department of Radiation Oncology, 1959 NE Pacific Street, Box 356043, Seattle, Washington 98195-6043, United States ; University of Washington , Department of Radiology, 1959 NE Pacific Street, Box 356043, Seattle, Washington 98195-6043, United States.

摘要

使用正电子发射断层扫描(PET)成像和其他方式进行图像异质性度量如纹理特征评估临床结果是一个非常活跃的领域。然而,我们对随机图像中的噪声对这些指标的影响了解甚少。我们通过生成具有逼真的噪声和分辨率属性的NEMA IQ体模的50个统计学上独立的PET图像来进行模拟研究。在病变周围的感兴趣区域内评估基于灰度强度直方图,同现矩阵,邻域差异矩阵和区域大小矩阵的异质性度量。评估随机变异性的影响与50个实现的平均值的差异百分比,临床试验的变异系数和估计样本量。此外,进行灵敏度研究以模拟患者多少和图像重建方法对这些度量的定量性能的影响。变异性的复杂趋势作为结构特征,病变大小,患者体重和重建参数的函数来揭示。总之,PET纹理特征对正常随机图像变化和成像参数的敏感性可能很大,同时是特征依赖的。需要标准来确保包含结构特征的前瞻性研究得到适当设计,以衡量可能影响临床结果的真实效果。

Abstact

Image heterogeneity metrics such as textural features are an active area of research for evaluating clinical outcomes with positron emission tomography (PET) imaging and other modalities. However, the effects of stochastic image acquisition noise on these metrics are poorly understood. We performed a simulation study by generating 50 statistically independent PET images of the NEMA IQ phantom with realistic noise and resolution properties. Heterogeneity metrics based on gray-level intensity histograms, co-occurrence matrices, neighborhood difference matrices, and zone size matrices were evaluated within regions of interest surrounding the lesions. The impact of stochastic variability was evaluated with percent difference from the mean of the 50 realizations, coefficient of variation and estimated sample size for clinical trials. Additionally, sensitivity studies were performed to simulate the effects of patient size and image reconstruction method on the quantitative performance of these metrics. Complex trends in variability were revealed as a function of textural feature, lesion size, patient size, and reconstruction parameters. In conclusion, the sensitivity of PET textural features to normal stochastic image variation and imaging parameters can be large and is feature-dependent. Standards are needed to ensure that prospective studies that incorporate textural features are properly designed to measure true effects that may impact clinical outcomes.

阅读原文:PMID: 26251842  PMCID: PMC4524811  DOI: 10.1117/1.JMI.2.4.041002


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