Left ventricular global myocardial strain assessment: Are CMR feature-tracking algorithms useful in the clinical setting?
- 3 March 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in La radiologia medica
- Vol. 125 (5), 444-450
- https://doi.org/10.1007/s11547-020-01159-1
Abstract
Objectives Myocardial strains can be calculated using cardiovascular magnetic resonance (CMR) feature-tracking (FT) algorithms. They show excellent intra- and inter-observer agreement but rather disappointing inter-vendor agreement. Currently, it is unknown how well CMR-FT-based strain values agree with manually obtained strain values. Methods In 45 subjects (15 controls, 15 acute myocardial infarction, 15 non-ischemic dilated cardiomyopathy), end-systolic manually derived strains were compared to four CMR-FT software packages. Global radial strain (GRS), global circumferential strain (GCS) and global longitudinal strain (GLS) were determined. Intra- and inter-observer agreement and agreement between manual and CMR-FT analysis were calculated. Statistical analysis included Bland–Altman plots, intra-class correlation coefficient (ICC) and coefficient of variation (CV). Results Manual contouring yielded excellent intra-observer (ICC 0.903 (GRS) to 0.995 (GCS)) and inter-observer agreement (ICC 0.915 (GRS) to 0.966 (GCS)) with CV ranging 4.7% (GCS) to 20.7% (GRS) and 12.7% (GCS) to 20.0% (GRS), for intra-observer and inter-observer agreement, respectively. Agreement between manual and CMR-FT strain values ranged from poor to excellent, with best agreement for GCS (ICC 0.857–0.935) and intermediate for GLS (ICC 0.591–0.914), while ICC values for GRS ranged widely (ICC 0.271–0.851). In particular, two software packages showed a strong trend toward systematic underestimation of myocardial strain in radial and longitudinal direction, correlating poorly to moderately with manual contouring, i.e., GRS (ICC 0.271, CV 25.2%) and GLS (ICC 0.591, CV 17.6%). Conclusion Some CMR-FT values agree poorly with manually derived strains, emphasizing to be cautious to use these software packages in the clinical setting. In particular, radial and longitudinal strain tends to be underestimated when using manually derived strains as reference.Keywords
This publication has 25 references indexed in Scilit:
- Cardiovascular magnetic resonance feature-tracking assessment of myocardial mechanics: Intervendor agreement and considerations regarding reproducibilityClinical Radiology, 2015
- Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal valuesEuropean Heart Journal – Cardiovascular Imaging, 2015
- Use of Myocardial Strain Imaging by Echocardiography for the Early Detection of Cardiotoxicity in Patients During and After Cancer ChemotherapyJournal of the American College of Cardiology, 2014
- Prognostic implications of global LV dysfunction: a systematic review and meta-analysis of global longitudinal strain and ejection fractionHeart, 2014
- Intertechnique agreement and interstudy reproducibility of strain and diastolic strain rate at 1.5 and 3 tesla: A comparison of feature‐tracking and tagging in patients with aortic stenosisJournal of Magnetic Resonance Imaging, 2014
- Comparison of magnetic resonance feature tracking for systolic and diastolic strain and strain rate calculation with spatial modulation of magnetization imaging analysisJournal of Magnetic Resonance Imaging, 2014
- Elastic Image Registration to Quantify 3-D Regional Myocardial Deformation from Volumetric Ultrasound: Experimental Validation in an Animal ModelJapanese Journal of Clinical Oncology, 2013
- Cardiac Motion and Deformation Estimation from Tagged MRI Sequences Using a Temporal Coherent Image Registration FrameworkLecture Notes in Computer Science, 2013
- Inter-study reproducibility of cardiovascular magnetic resonance myocardial feature trackingJournal of Cardiovascular Magnetic Resonance, 2012
- Magnetic Resonance Derived Myocardial Strain Assessment Using Feature TrackingJournal of Visualized Experiments, 2011