The influence of cardiac motion on radiomics features: radiomics features of non-enhanced CMR cine images greatly vary through the cardiac cycle

• Published in: European radiology 2021-05, Vol.31 (5), p.2706-2715
• Main Authors: Alis, Deniz, Yergin, Mert, Asmakutlu, Ozan, Topel, Cagdas, Karaarslan, Ercan
• Format: Article
• Language: English
• Subjects: Adult; Artificial intelligence; Coefficient of variation; Correlation coefficient; Correlation coefficients; Diagnostic Radiology; Feature extraction; Heart; Heart - diagnostic imaging; Heart Ventricles - diagnostic imaging; Humans; Image enhancement; Imaging; Imaging Informatics and Artificial Intelligence; Internal Medicine; Interventional Radiology; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging, Cine; Medicine; Medicine & Public Health; Myocardium; Neuroradiology; Observer Variation; Radiology; Radiomics; Reproducibility; Reproducibility of Results; Retrospective Studies; Ultrasound; Ventricle
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-020-07370-y

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 3 0.80, > 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.