Reliability of 2D Magnetic Resonance Imaging Texture Analysis in Cerebral Gliomas: Influence of Slice Selection Bias on Reproducibility of Radiomic Features
Introduction:In this study, we aimed to investigate the reproducibility of two-dimensional (2D) texture features between adjacent magnetic resonance imaging (MRI) slices in patients with cerebral gliomas.Methods:For this retrospective methodological study, T2-weighted MRI and semi-automatic segmenta...
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Format: | Article |
Language: | English |
Published: |
Galenos Yayinevi
2019-09-01
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Series: | İstanbul Medical Journal |
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Online Access: |
http://imj.galenos.com.tr/archives/archive-detail/article-preview/reliability-of-2d-magnetic-resonance-maging-textur/30572
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Summary: | Introduction:In this study, we aimed to investigate the reproducibility of two-dimensional (2D) texture features between adjacent magnetic resonance imaging (MRI) slices in patients with cerebral gliomas.Methods:For this retrospective methodological study, T2-weighted MRI and semi-automatic segmentation data of 25 patients with lower-grade gliomas were obtained from a public database. Only two regions of interests were used in this study: (i), the largest slice and (ii) one of the adjacent slices. Using PyRadiomics, an open source software to extract radiomic features from medical images, a total of 1116 texture features from six different feature classes were extracted from original, Laplacian of Gaussian-filtered, and wavelet-transformed images. Intra-class correlation coefficient (ICC) values with and without 95% confidence interval (CI) were used for reliability analysis. The ICC threshold for excellent reproducibility was 0.9.Results:In the reliability analysis without considering the 95% CI for the ICC values, 28% of the texture features had excellent reproducibility. On the other hand, considering the 95% CI, only 10% of the texture features had excellent reproducibility. Neither a feature class (range of excellent reproducibility rates without 95% CI, 21.2%-34.4%; with 95% CI, 2.1%-18.3%) nor an image type (range of excellent reproducibility rates without 95% CI, 22.3%-41.9%; with 95% CI, 9.1%-14%) had considerable reliability in two adjacent MRI slices.Conclusion:2D MRI texture analysis of gliomas using T2- weighted sequence is substantially sensitive to slice selection bias, which may lead to non-reproducible results in radiomic works. |
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ISSN: | 2619-9793 2148-094X |