Scientific Reports (Mar 2022)

Free-breathing gradient recalled echo-based CMR in a swine heart failure model

  • Craig C. Morris,
  • Jacob Ref,
  • Satya Acharya,
  • Kevin J. Johnson,
  • Scott Squire,
  • Tuschar Acharya,
  • Tyler Dennis,
  • Sherry Daugherty,
  • Alice McArthur,
  • Ikeotunye Royal Chinyere,
  • Jen Watson Koevary,
  • Joshua M. Hare,
  • Jordan J. Lancaster,
  • Steven Goldman,
  • Ryan Avery

DOI
https://doi.org/10.1038/s41598-022-07611-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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Abstract 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.