Does free-breathing GRE-based CMR produce high-quality images for characterizing cardiac function in a swine heart failure model?
9 male Yucatan mini swine weighing 48.7 ± 1.6 kg at 58.2 ± 3.1 weeks old, undergoing closed chest left anterior descending coronary artery (LAD) occlusion/reperfusion to create a heart failure model.
Cardiac magnetic resonance (CMR) utilizing smart-signal gradient recalled echo (GRE)-based array sequences in a free-breathing setting.
Baseline imaging (before myocardial infarction).
Characterization of cardiac function (LVEF, EDV) and production of clinical-grade images with high spatial and temporal resolution.surrogate
Free-breathing GRE-based CMR produces clinical-grade images with high spatial and temporal resolution for assessing cardiac function in a swine model of heart failure.
In swine models, there are well-established protocols for creating a closed-chest myocardial infarction (MI) as well as protocols for characterization of cardiac function with cardiac magnetic resonance (CMR). This methods manuscript outlines a novel technique in CMR data acquisition utilizing smart-signal gradient recalled echo (GRE)-based array sequences in a free-breathing swine heart failure model allowing for both high spatial and temporal resolution imaging. Nine male Yucatan mini swine weighing 48.7 ± 1.6 kg at 58.2 ± 3.1 weeks old underwent the outlined imaging protocol before and 1-month after undergoing closed chest left anterior descending coronary artery (LAD) occlusion/reperfusion. The left ventricular ejection fraction (LVEF) at baseline was 59.3 ± 2.4% and decreased to 48.1 ± 3.7% 1-month post MI (P = 0.029). The average end-diastolic volume (EDV) at baseline was 55.2 ± 1.7 ml and increased to 74.2 ± 4.2 ml at 1-month post MI (P = 0.001). The resulting images from this novel technique and post-imaging analysis are presented and discussed. In a Yucatan swine model of heart failure via closed chest left anterior descending coronary artery (LAD) occlusion/reperfusion, we found that CMR with GRE-based array sequences produced clinical-grade images with high spatial and temporal resolution in the free-breathing setting.
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Craig Morris
United States Consumer Product Safety Commission
Jacob Ref
University of Arizona
Satya Ranjan Acharya
Entrepreneurship Development Institute of India
SHILAP Revista de lepidopterología
Scientific Reports
Northwestern University
University of Arizona
University of Miami
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Morris et al. (Tue,) studied this question.
synapsesocial.com/papers/69da09be0f32475823a3cc05 — DOI: https://doi.org/10.1038/s41598-022-07611-8
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