Abstract
Objectives
The cardiac cycle might impair the reproducibility of radiomics features of cardiac magnetic resonance (CMR) cine images, yet this issue has not been addressed in the previous research. We aim to evaluate whether radiomics features of CMR cine images vary during the cardiac cycle and investigate the reproducibility of radiomics features of CMR cine images.
Methods
This retrospective study enrolled 59 healthy adults who underwent CMR examination. Two observers segmented the myocardium on a 4D stack of three consecutive mid-ventricular short-axis cine images covering the cardiac cycle. A total of 352 radiomics features were extracted. The coefficient of variation and intraclass correlation coefficient were used to assess the feature variability through the cycle and inter-observer reproducibility, respectively.
Results
Approximately 55% of radiomics features showed large variability through the cardiac cycle. The original features showed more variability than the Laplacian of Gaussian-filtered features (73.8% vs. 48%). The features of 4D stack cine images had a higher proportion of reproducible features (92.0%, 87.7%, and 76.1%) compared with the end-diastolic (77.8%, 62.2%, and 41.7%) and the end-systolic images (81.5%, 74.1%, and 58.8%) for intraclass correlation cut-off values of 30.80, > 0.85, and > 0.90, respectively.
Conclusions
Radiomics features of CMR cine images greatly vary during the cardiac cycle. The radiomics features of 4D stack of cine images are more robust compared with end-diastolic and end-systolic cine images in terms of reproducibility. The impact of the cardiac cycle on the reproducibility of the features should be considered when employing CMR cine images radiomics.
Key Points
• There is limited evidence on the impact of cardiac motion on radiomics features of CMR cine images and the reproducibility of the radiomics features of CMR cine images.
• Radiomics features of non-enhanced CMR cine images greatly vary during the cardiac cycle, and the number of “reproducible” features shows significant variations according to the cardiac phases.
• The impact of cardiac cycle on the reproducibility of the radiomics features should be considered when employing CMR cine images radiomics.
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Abbreviations
- CMR:
-
Cardiac magnetic resonance
- COV:
-
Coefficient of variation
- DSC:
-
Dice similarity coefficient
- GLCM:
-
Gray level co-occurrence matrix
- GLDM:
-
Gray level dependence matrix
- GLSZM:
-
Gray level size zone matrix
- GRLM:
-
Gray level run length matrix
- ICC:
-
Intraclass correlation coefficient
- IQR:
-
Interquartile range
- LoG:
-
Laplacian of Gaussian
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The scientific guarantor of this publication is Deniz Alis.
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Two authors (D.A. and M.Y.) have significant statistical expertise.
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Institutional Review Board approval was obtained from Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital ethics committee.
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• retrospective
• cross-sectional study/experimental
• performed at one institution
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Alis, D., Yergin, M., Asmakutlu, O. et al. The influence of cardiac motion on radiomics features: radiomics features of non-enhanced CMR cine images greatly vary through the cardiac cycle. Eur Radiol 31, 2706–2715 (2021). https://doi.org/10.1007/s00330-020-07370-y
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DOI: https://doi.org/10.1007/s00330-020-07370-y