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Updated: May 15, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
Published on: December 16, 2022
Comparison of dual-energy iodine and standard subtraction methods for myocardial extracellular volume quantification
Daniel A Lorenzatti1, Annalisa Filtz1, Pamela Piña2
1Montefiore Health System, New York, NY, USA.
Background:
Computed tomography (CT)-derived extracellular volume fraction (ECV) quantifies myocardial fibrosis noninvasively, comparable to cardiovascular magnetic resonance. The conventional subtraction method (ECV-conv) requires dedicated pre- and post-contrast acquisitions, while the dual-energy spectral method (ECV-spec) uses only the post-contrast phase. We aimed to compare these methods in patients undergoing CT planning for transcatheter aortic valve replacement (TAVR).
Methods:
We prospectively included patients undergoing CT-TAVR evaluation on a dual-energy dual-layer detector scanner. Baseline pre-contrast and equilibrium delay phase (at 5 min) prospectively ECG-triggered acquisitions were co-registered for ECV-conv calculation. Equilibrium phase spectral iodine maps were derived for ECV-spec measurement and compared with ECV-con maps using a mid-septal and a global mid-ventricular region of interest.
Results:
Overall, 78 patients (53 % female, mean age 77 years) were analyzed. There was a minor overestimation in global measurement by ECV-spec (31.8 ± 4.6 % vs 30.3 ± 5.3 %, p = 0.023. However, there were no significant differences between both methods for the mid-septal measurement (ECV-conv = 30.4 ± 5.3 % vs ECV-spec = 31.0 ± 5.6 %, p = 0.196).). Both methods demonstrated comparable 95 % limits of agreement, with a strong correlation for mid-septal (r = 0.75, p < 0.0001) and a moderate correlation for global measurements (r = 0.51, p < 0.0001).
Conclusions:
Myocardial CT-ECV estimation using dual-energy spectral maps was comparable to the conventional subtraction method without the need of a pre-contrast acquisition. This approach may help reduce imaging and processing times, as well as minimize radiation exposure.
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