@inbook{986199c55ed340b489a1130ab1e348e8,
title = "Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling",
abstract = "Heart failure is known to be associated with substantial changes in the mechanical properties of the heart muscle. Biomechanical parameters, such as myocardial stiffness, have the potential to help clinicians diagnose and determine and monitor treatment options. The impact of inter-observer variability of geometric modelling on the estimation of passive myocardial stiffness has not yet been systematically investigated. We aimed to examine the sensitivity of myocardial stiffness estimates with respect to inter-observer geometric model variability. Twenty-four subjects (5 controls, 19 patients with heart failure) underwent left heart catheterisation and cardiovascular magnetic resonance (CMR) imaging. Three expert analysts independently constructed three-dimensional geometric models of the left ventricle (LV), which were used to estimate myocardial stiffness using finite element simulations that combined cine CMR data and LV pressure measurements. Bland-Altman analysis was used to assess the inter-observer effects on the reproducibility of myocardial stiffness. The inter-observer variations were ±7.69 mL/m2 and ±9.78 g/m2 for the LV end-diastolic volume and mass indices, respectively. Meanwhile, the variability ranged by up to ±0.51 kPa for inter-observer analysis on the estimated intrinsic myocardial stiffness values. Findings from this pilot study highlight the importance of the accuracy of image-based geometric modelling when estimating myocardial stiffness.",
keywords = "Cine CMR, Finite element analysis, Geometric modelling, Heart failure, Inter-observer variability, Myocardial stiffness",
author = "Hasaballa, {Abdallah I.} and {Babarenda Gamage}, {Thiranja P.} and Wang, {Vicky Y.} and Debbie Zhao and Mauger, {Charl{\`e}ne A.} and Kathleen Gilbert and Wang, {Zhinuo J.} and Bianca Freytag and Cao, {Jie Jane} and Young, {Alistair A.} and Nash, {Martyn P.}",
note = "Funding Information: Health Research Council of New Zealand (grant 17/608). Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021 ; Conference date: 21-06-2021 Through 25-06-2021",
year = "2021",
doi = "10.1007/978-3-030-78710-3_28",
language = "English",
isbn = "9783030787097",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "287--295",
editor = "Ennis, {Daniel B.} and Perotti, {Luigi E.} and Wang, {Vicky Y.}",
booktitle = "Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings",
address = "Germany",
}