RT Journal Article
SR Electronic
T1 Reproducibility of 4D Flow MRI-based Personalized Cardiovascular Models; Inter-sequence, Intra-observer, and Inter-observer variability
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2024.06.13.597551
DO 10.1101/2024.06.13.597551
A1 Casas, Belén
A1 Tunedal, Kajsa
A1 Viola, Federica
A1 Cedersund, Gunnar
A1 Carlhäll, Carl-Johan
A1 Karlsson, Matts
A1 Ebbers, Tino
YR 2024
UL http://biorxiv.org/content/early/2024/06/15/2024.06.13.597551.abstract
AB Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but the parameter estimation may be hampered by the variability in the input data. In this study, we investigate the influence of inter-sequence, intra-observer, and inter-observer variability in input parameters on estimation of subject-specific model parameters using a previously developed approach for model-based analysis of data from 4D Flow MRI acquisitions and cuff pressure measurements. The parameters describe left ventricular time-varying elastance and aortic compliance. Parameter reproducibility with respect to variability in the MRI input measurements was assessed in a group of ten healthy subjects. The subject-specific parameters had coefficient of variations between 2.5% and 34.9% in the intra- and inter-observer analysis. In comparing parameters estimated using data from the two MRI sequences, the coefficients of variation ranged between 3.6% and 41%. The diastolic time constant of the left ventricle and the compliance of the ascending aorta were the parameters with the lowest and the highest variability, respectively. In conclusion, the modeling approach allows for estimating left ventricular elastance parameters and aortic compliance from non-invasive measurements with good to moderate reproducibility concerning intra-user, inter-user, and inter-sequence variability.Competing Interest StatementThe authors have declared no competing interest.