论著摘要 |【Radiomics-PET】FDG-PET 影像学的稳定性特征:对测试重新测试和观察者间变异性的综合分析(双语版)

2018-02-06 10:45:59 admin 3
标签:   影像组学 PET FDG-PET 非小细胞肺癌 SUV 影响特征

Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.

发表日期: 2013.09.09   来源:Acta Oncol. 2013 Oct;52(7):1391-7.

作者:

Leijenaar RT1, Carvalho S1, Velazquez ER1 , van Elmpt WJ1, Parmar C1, Hoekstra OS1, Hoekstra CJ1, Boellaard R1, Dekker AL1, Gillies RJ1 , Aerts HJ1, Lambin P1.

作者介绍:

1. Department of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center (MUMC+) , Maastricht , The Netherlands.

摘要

Abstact

目的

除了从18F-FDG正电子发射断层扫描(PET)扫描获得的最大标准摄取值(SUV)max或SUVmean等基本测量值外,更先进的定量成像特征(即“影像组学”特征)越来越多地被用于治疗监测,结果预测或作为潜在的生物标志物。为了使得这些影像组学特征的得到预期应用,它们提供稳健可靠的测量值是必需的。因此,我们研究的目的是基于两次试验法和观察者间机构,对非小细胞肺癌(NSCLC)中大量PET衍生特征进行综合的稳定性分析。

Purpose

Besides basic measurements as maximum standardized uptake value (SUV)max or SUVmean derived from 18F-FDG positron emission tomography (PET) scans, more advanced quantitative imaging features (i.e. “Radiomics” features) are increasingly investigated for treatment monitoring, outcome prediction, or as potential biomarkers. With these prospected applications of Radiomics features, it is a requisite that they provide robust and reliable measurements. The aim of our study was therefore to perform an integrated stability analysis of a large number of PET-derived features in non-small cell lung carcinoma (NSCLC), based on both a test-retest and an inter-observer setup.

方法

11名非小细胞肺癌患者被纳入测试重组队列。患者在接受任何治疗前一天内进行重复PET成像。通过应用肿瘤内最大摄取值的50%的阈值来描绘病变。二十三名非小细胞肺癌患者被纳入观察员队列。患者接受了全身PET计算机断层扫描(CT)诊断。使用标准化的临床描述方案,基于融合的PET-CT手动描绘病变。由五名观察员独立进行划界,彼此独立。提取了15个一阶统计量,提取了39个强度体积直方图描述符,8个几何特征和44个纹理特征。对于每个特征,使用类内相关系数(ICC)和变异系数来评估两次测试法和观察者之间的稳定性,归一化为平均值和范围。使用Spearman等级相关系数评估测试重新测试和观察者间稳定性特征的相似性。

Methods

Eleven NSCLC patients were included in the test-retest cohort. Patients underwent repeated PET imaging within a one day interval, before any treatment was delivered. Lesions were delineated by applying a threshold of 50% of the maximum uptake value within the tumor. Twenty-three NSCLC patients were included in the inter-observer cohort. Patients underwent a diagnostic whole body PET-computed tomography (CT). Lesions were manually delineated based on fused PET-CT, using a standardized clinical delineation protocol. Delineation was performed independently by five observers, blinded to each other. Fifteen first order statistics, 39 descriptors of intensity volume histograms, eight geometric features and 44 textural features were extracted. For every feature, test-retest and inter-observer stability was assessed with the intra-class correlation coefficient (ICC) and the coefficient of variability, normalized to mean and range. Similarity between test-retest and inter-observer stability rankings of features was assessed with Spearman's rank correlation coefficient.

结果

结果表明,大多数评估特征在ICC方面具有很高的两次试验法的(71%)和观察者间(91%)的稳定性。总体而言,发现反复PET成像中更加稳定的特征对于观察者间变异性也更强。

Results

Results showed that the majority of assessed features had both a high test-retest (71%) and inter-observer (91%) stability in terms of their ICC. Overall, features more stable in repeated PET imaging were also found to be more robust against inter-observer variability.

结论

结果表明,进一步研究定量成像特征关于PET成像的进一步应用,比如用于治疗监测、结果预测或作为成像生物标志物,是可以保证的。

Conclusions

Results suggest that further research of quantitative imaging features is warranted with respect to more advanced applications of PET imaging as being used for treatment monitoring, outcome prediction or imaging biomarkers.

阅读原文:PMID: 24047337  PMCID: PMC4533992  DOI: 10.3109/0284186X.2013.812798


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