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Updated: Nov 15, 2025

Ultrasonic Assessment of Myocardial Microstructure
Published on: January 14, 2014
Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging
Jihye Jang1, Hossam El-Rewaidy1, Long H Ngo1,2
1Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA.
Background:
Cardiac magnetic resonance (MR) images are often collected with different imaging parameters, which may impact the calculated values of myocardial radiomic features.
Purpose:
To investigate the sensitivity of myocardial radiomic features to changes in imaging parameters in cardiac MR images.
Study Type:
Prospective.
Population:
A total of 11 healthy participants/five patients.
Field Strength/ Sequence:
A 3 T/cine balanced steady-state free-precession, T1 -weighted spoiled gradient-echo, T2 -weighted turbo spin-echo, and quantitative T1 and T2 mapping. For each sequence, the flip angle, in-plane resolution, slice thickness, and parallel imaging technique were varied to study the sensitivity of radiomic features to alterations in imaging parameters.
Assessment:
Myocardial contours were manually delineated by experienced readers, and a total of 1023 radiomic features were extracted using PyRadiomics with 11 image filters and six feature families.
Statistical Tests:
Sensitivity was defined as the standardized mean difference (D effect size), and the robust features were defined at sensitivity < 0.2. Sensitivity analysis was performed on predefined sets of reproducible features. The analysis was performed using the entire cohort of 16 subejcts.
Results:
64% of radiomic features were robust (sensitivity < 0.2) to changes in any imaging parameter. In qualitative sequences, radiomic features were most sensitive to changes in in-plane spatial resolution (spatial resolution: 0.6 vs. flip angle: 0.19, parallel imaging: 0.18, slice thickness: 0.07; P < 0.01 for all); in quantitative sequences, radiomic features were least sensitive to changes in spatial resolution (spatial resolution: 0.07 vs. slice thickness: 0.16, flip angle: 0.24; P < 0.01 for all). In an individual feature level, no singular feature family/image filter was identified as robust (sensitivity < 0.2) across sequences; however, highly sensitive features were predominantly associated with high-frequency wavelet filters across all sequences (32/50 features).
Data Conclusion:
In cardiac MR, a considerable number of radiomic features are sensitive to changes in sequence parameters.
Evidence Level:
1 TECHNICAL EFFICACY: Stage 1.
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