Key result
Using bipolar readout gradients with GIRF correction at 3T, in vivo proton-density fat fraction of epicardial adipose tissue was significantly lower than subcutaneous fat (80.4% vs 92.5%, P<0.0001).
Why the study?
To obtain motion-resolved high-resolution proton-density fat fraction maps of epicardial fat, a free-running cardiac CSE-CMR framework with gradient imperfection correction at 3T was proposed.
Does GIRF correction improve the accuracy of PDFF quantification in free-running cardiac CSE-CMR with bipolar readout gradients?
Cross-Sectional (n=13)
Does GIRF correction improve the accuracy of PDFF quantification in free-running cardiac CSE-CMR with bipolar readout gradients?
Absolute Event Rate: 80.4% vs 92.5%
p-value: p=<0.0001
Trajectory correction using GIRF enables accurate quantification of epicardial adipose tissue PDFF using free-running cardiac CSE-CMR at 3T.
Enables motion-resolved epicardial PDFF mapping by CSE-CMR; leaves open clinical utility in metabolic disease pending prospective validation.
BACKGROUND: Metabolic diseases can negatively alter epicardial fat accumulation and composition, which can be probed using quantitative cardiac chemical shift encoded (CSE) cardiovascular magnetic resonance (CMR) by mapping proton-density fat fraction (PDFF). To obtain motion-resolved high-resolution PDFF maps, we proposed a free-running cardiac CSE-CMR framework at 3T. To employ faster bipolar readout gradients, a correction for gradient imperfections was added using the gradient impulse response function (GIRF) and evaluated on intermediate images and PDFF quantification. METHODS: Ten minutes free-running cardiac 3D radial CSE-CMR acquisitions were compared in vitro and in vivo at 3T. Monopolar and bipolar readout gradient schemes provided 8 echoes (TE1/ΔTE = 1.16/1.96 ms) and 13 echoes (TE1/ΔTE = 1.12/1.07 ms), respectively. Bipolar-gradient free-running cardiac fat and water images and PDFF maps were reconstructed with or without GIRF correction. PDFF values were evaluated in silico, in vitro on a fat/water phantom, and in vivo in 10 healthy volunteers and 3 diabetic patients. RESULTS: In monopolar mode, fat-water swaps were demonstrated in silico and confirmed in vitro. Using bipolar readout gradients, PDFF quantification was reliable and accurate with GIRF correction with a mean bias of 0.03% in silico and 0.36% in vitro while it suffered from artifacts without correction, leading to a PDFF bias of 4.9% in vitro and swaps in vivo. Using bipolar readout gradients, in vivo PDFF of epicardial adipose tissue was significantly lower compared to subcutaneous fat (80.4 ± 7.1% vs 92.5 ± 4.3%, P < 0.0001). CONCLUSIONS: Aiming for an accurate PDFF quantification, high-resolution free-running cardiac CSE-MRI imaging proved to benefit from bipolar echoes with k-space trajectory correction at 3T. This free-breathing acquisition framework enables to investigate epicardial adipose tissue PDFF in metabolic diseases.
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Daudé et al. (2024) conducted a cross-sectional in Metabolic diseases (n=13). Bipolar readout gradients with GIRF correction vs. Uncorrected/monopolar gradients was evaluated on Proton-density fat fraction (PDFF) of epicardial adipose tissue versus subcutaneous fat (p=<0.0001). Using bipolar readout gradients with GIRF correction at 3T, in vivo proton-density fat fraction of epicardial adipose tissue was significantly lower than subcutaneous fat (80.4% vs 92.5%, P<0.0001).
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