Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

In atrial fibrillation (AF), atrial biomechanics are altered, reducing atrial movement. It remains unclear whether these changes are due to altered anatomy, myocardial stiffness, or constraints from surrounding structures. Understanding the causes of changed atrial deformation in AF could enhance tissue characterization and inform AF diagnosis, stratification, and treatment. We created patient-specific anatomical models of the left atrium (LA) from CT images. Passive LA biomechanics were simulated using finite deformation continuum mechanics equations. LA stiffness was represented by the Guccione material law, where α scaled the anisotropic stiffness parameters. Regional passive stiffness parameters were calibrated to peak regional deformation during the reservoir phase and validated against deformation transients derived from retrospective gated CT images during the reservoir and conduit phase. Physiological LA deformation varies regionally, with the roof deforming significantly less than other regions during the reservoir phase. The fitted model matched peak patient deformations globally and regionally with an average error of [Formula: see text] mm over our cohort. We compared deformation transients through the reservoir and conduit phases and found that the simulated deformation transients were within an average of [Formula: see text] mm per unit time of the CT-derived deformation transients. Regional stiffness varied across the atria with average α values of 1.8, 1.6, 2.2, 1.6 and 2.1 across the cohort in the anterior, posterior, septum, lateral and roof regions respectively. Using mixed effect models, we found no correlation between regional patient LA deformation and regional estimates of wall thickness or regional volumes of epicardial adipose tissue. We found a significant correlation between regionally calibrated stiffness and CT-derived LA biomechanics (p = 0.023). We have shown that regional heterogeneity in stiffness contributes to regional LA biomechanics, while anatomical features appeared less important. These findings provide insight into the underlying causes of altered LA biomechanics in AF.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-11-05
DOI
https://doi.org/10.1371/journal.pcbi.1013656
Citations
2
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
2.78
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article

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Steven Niederer, Cristóbal Rodero, Gernot Plank, Christopher A. Rinaldi et al.
2 citations
PLoS Computational Biology
Atrial Fibrillation Management and Outcomes
2.78
article

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Steven Niederer, Cristóbal Rodero, Gernot Plank, Christopher A. Rinaldi, Tiffany M G Baptiste, José Alonso Solís-Lemus, Christoph M. Augustin, Christopher W. Lanyon, Charles Sillett, Steven E. Williams, Caroline H. Roney, Ronak Rajani, Daniel B. Ennis, Marina Strocchi, Angela Lee, R. Wilkinson
article en
2 citations

Abstract

In atrial fibrillation (AF), atrial biomechanics are altered, reducing atrial movement. It remains unclear whether these changes are due to altered anatomy, myocardial stiffness, or constraints from surrounding structures. Understanding the causes of changed atrial deformation in AF could enhance tissue characterization and inform AF diagnosis, stratification, and treatment. We created patient-specific anatomical models of the left atrium (LA) from CT images. Passive LA biomechanics were simulated using finite deformation continuum mechanics equations. LA stiffness was represented by the Guccione material law, where α scaled the anisotropic stiffness parameters. Regional passive stiffness parameters were calibrated to peak regional deformation during the reservoir phase and validated against deformation transients derived from retrospective gated CT images during the reservoir and conduit phase. Physiological LA deformation varies regionally, with the roof deforming significantly less than other regions during the reservoir phase. The fitted model matched peak patient deformations globally and regionally with an average error of [Formula: see text] mm over our cohort. We compared deformation transients through the reservoir and conduit phases and found that the simulated deformation transients were within an average of [Formula: see text] mm per unit time of the CT-derived deformation transients. Regional stiffness varied across the atria with average α values of 1.8, 1.6, 2.2, 1.6 and 2.1 across the cohort in the anterior, posterior, septum, lateral and roof regions respectively. Using mixed effect models, we found no correlation between regional patient LA deformation and regional estimates of wall thickness or regional volumes of epicardial adipose tissue. We found a significant correlation between regionally calibrated stiffness and CT-derived LA biomechanics (p = 0.023). We have shown that regional heterogeneity in stiffness contributes to regional LA biomechanics, while anatomical features appeared less important. These findings provide insight into the underlying causes of altered LA biomechanics in AF.

PLoS Computational BiologyVol. 21(11)
University of Nottingham (GB), Queen Mary University of London (GB), King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Medical University of Graz (AT), The Alan Turing Institute (GB), Imperial College London (GB), Stanford University (US), University of Edinburgh (GB)
Openalex Percentile: Top 8%
Atrial Fibrillation Management and Outcomes
2.78
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