Assessment of Longitudinal Reproducibility of Mice LV Function Parameters at 11.7 T Derived from Self-Gated CINE MRI.
Zhi ZuoAnne SubgangAlireza AbaeiWolfgang RottbauerDetlef StillerGenshan MaVolker RaschePublished in: BioMed research international (2017)
The objective of this work was the assessment of the reproducibility of self-gated cardiac MRI in mice at ultra-high-field strength. A group of adult mice (n = 5) was followed over 360 days with a standardized MR protocol including reproducible animal position and standardized planning of the scan planes. From the resulting CINE MRI data, global left ventricular (LV) function parameters including end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and left ventricular mass (LVM) were quantified. The reproducibility of the self-gated technique as well as the intragroup variability and longitudinal changes of the investigated parameters was assessed. Self-gated cardiac MRI proved excellent reproducibility of the global LV function parameters, which was in the order of the intragroup variability. Longitudinal assessment did not reveal any significant variations for EDV, ESV, SV, and EF but an expected increase of the LVM with increasing age. In summary, self-gated MRI in combination with a standardized protocol for animal positioning and scan plane planning ensures reproducible assessment of global LV function parameters.
Keyphrases
- left ventricular
- contrast enhanced
- magnetic resonance imaging
- ejection fraction
- aortic stenosis
- diffusion weighted imaging
- computed tomography
- heart failure
- acute myocardial infarction
- hypertrophic cardiomyopathy
- randomized controlled trial
- blood pressure
- cardiac resynchronization therapy
- magnetic resonance
- mitral valve
- high fat diet induced
- left atrial
- cross sectional
- type diabetes
- atrial fibrillation
- electronic health record
- mass spectrometry
- high resolution
- dna methylation
- brain injury
- insulin resistance
- dual energy
- adipose tissue
- subarachnoid hemorrhage
- artificial intelligence
- skeletal muscle
- aortic valve