Investigating the robustness neighborhood gray tone difference matrix and gray level co-occurrence matrix radiomic features on clinical computed tomography systems using anthropomorphic phantoms: Evidence from a multivendor study Journal Article


Authors: Mahmood, U.; Apte, A. P.; Deasy, J. O.; Schmidtlein, C. R.; Shukla-Dave, A.
Article Title: Investigating the robustness neighborhood gray tone difference matrix and gray level co-occurrence matrix radiomic features on clinical computed tomography systems using anthropomorphic phantoms: Evidence from a multivendor study
Abstract: Objective: The aim of this study was to determine if optimized imaging protocols across multiple computed tomography (CT) vendors could result in reproducible radiomic features calculated from an anthropomorphic phantom. Methods: Materials with varying degrees of heterogeneity were placed throughout the lungs of the phantom. Twenty scans of the phantom were acquired on 3 CT manufacturers with chest CT protocols that had optimized protocol parameters. Scans were reconstructed using vendor-specific standards and lung kernels. The concordance correlation coefficient (CCC) was used to calculate reproducibility between features. For features with high CCC values, Bland-Altman analysis was also used to quantify agreement. Results: Themean Hounsfield unit (HU)was 32.93HU(141.7 to -26.5 HU) for the rubber insert and 347.2 HU (-320.9 to -347.7 HU) for the wood insert. Low CCC values of less than 0.9 were calculated for all features across all scans. Conclusions: Radiomic features that are derived from the spatial distribution of voxel intensities should be particularly scrutinized for reproducibility in a multivendor environment. Copyright © 2017 Wolters Kluwer Health, Inc. All rights reserved.
Keywords: comparative study; reproducibility; reproducibility of results; tomography, x-ray computed; lung; phantoms, imaging; computed tomography; computed tomography scanner; tomography scanners, x-ray computed; imaging phantom; humans; human; anthropomorphic phantom; x-ray computed tomography; radiomics
Journal Title: Journal of Computer Assisted Tomography
Volume: 41
Issue: 6
ISSN: 0363-8715
Publisher: Lippincott Williams & Wilkins  
Date Published: 2017-11-01
Start Page: 995
End Page: 1001
Language: English
DOI: 10.1097/rct.0000000000000632
PUBMED: 28708732
PROVIDER: scopus
PMCID: PMC5685887
DOI/URL:
Notes: Article -- Export Date: 4 September 2018 -- Source: Scopus
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  1. Amita Dave
    140 Dave
  2. Joseph Owen Deasy
    527 Deasy
  3. Aditya Apte
    205 Apte
  4. Usman Ahmad Mahmood
    48 Mahmood