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Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models
by
Solís-Lemus, José Alonso
, Niederer, Steven A.
, Rodero, Cristobal
, Wilkinson, Richard D.
, Rinaldi, Christopher A.
, Plank, Gernot
, Augustin, Christoph M.
, Ennis, Daniel B.
, Strocchi, Marina
, Lanyon, Christopher W.
, Rajani, Ronak
, Lee, Angela W. C.
, Roney, Caroline H.
, Williams, Steven E.
, Baptiste, Tiffany M.G.
, Sillett, Charles P.
in
Aged
/ Atrial fibrillation
/ Atrial Fibrillation - diagnostic imaging
/ Atrial Fibrillation - physiopathology
/ Biology and Life Sciences
/ Biomechanical Phenomena - physiology
/ Biomechanics
/ Cardiovascular research
/ Care and treatment
/ Cohort Studies
/ Complications and side effects
/ Computational Biology
/ Female
/ Health aspects
/ Heart Atria - diagnostic imaging
/ Heart Atria - physiopathology
/ Heart atrium
/ Humans
/ Laws, regulations and rules
/ Male
/ Mechanical properties
/ Medicine and Health Sciences
/ Middle Aged
/ Models, Cardiovascular
/ Patient-Specific Modeling
/ Physical Sciences
/ Research and Analysis Methods
/ Tomography, X-Ray Computed
2025
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Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models
by
Solís-Lemus, José Alonso
, Niederer, Steven A.
, Rodero, Cristobal
, Wilkinson, Richard D.
, Rinaldi, Christopher A.
, Plank, Gernot
, Augustin, Christoph M.
, Ennis, Daniel B.
, Strocchi, Marina
, Lanyon, Christopher W.
, Rajani, Ronak
, Lee, Angela W. C.
, Roney, Caroline H.
, Williams, Steven E.
, Baptiste, Tiffany M.G.
, Sillett, Charles P.
in
Aged
/ Atrial fibrillation
/ Atrial Fibrillation - diagnostic imaging
/ Atrial Fibrillation - physiopathology
/ Biology and Life Sciences
/ Biomechanical Phenomena - physiology
/ Biomechanics
/ Cardiovascular research
/ Care and treatment
/ Cohort Studies
/ Complications and side effects
/ Computational Biology
/ Female
/ Health aspects
/ Heart Atria - diagnostic imaging
/ Heart Atria - physiopathology
/ Heart atrium
/ Humans
/ Laws, regulations and rules
/ Male
/ Mechanical properties
/ Medicine and Health Sciences
/ Middle Aged
/ Models, Cardiovascular
/ Patient-Specific Modeling
/ Physical Sciences
/ Research and Analysis Methods
/ Tomography, X-Ray Computed
2025
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Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models
by
Solís-Lemus, José Alonso
, Niederer, Steven A.
, Rodero, Cristobal
, Wilkinson, Richard D.
, Rinaldi, Christopher A.
, Plank, Gernot
, Augustin, Christoph M.
, Ennis, Daniel B.
, Strocchi, Marina
, Lanyon, Christopher W.
, Rajani, Ronak
, Lee, Angela W. C.
, Roney, Caroline H.
, Williams, Steven E.
, Baptiste, Tiffany M.G.
, Sillett, Charles P.
in
Aged
/ Atrial fibrillation
/ Atrial Fibrillation - diagnostic imaging
/ Atrial Fibrillation - physiopathology
/ Biology and Life Sciences
/ Biomechanical Phenomena - physiology
/ Biomechanics
/ Cardiovascular research
/ Care and treatment
/ Cohort Studies
/ Complications and side effects
/ Computational Biology
/ Female
/ Health aspects
/ Heart Atria - diagnostic imaging
/ Heart Atria - physiopathology
/ Heart atrium
/ Humans
/ Laws, regulations and rules
/ Male
/ Mechanical properties
/ Medicine and Health Sciences
/ Middle Aged
/ Models, Cardiovascular
/ Patient-Specific Modeling
/ Physical Sciences
/ Research and Analysis Methods
/ Tomography, X-Ray Computed
2025
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Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models
Journal Article
Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models
2025
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Overview
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 0.90 ± 0.39 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 ± 0.38 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.
Publisher
Public Library of Science,PLOS,Public Library of Science (PLoS)
Subject
/ Atrial Fibrillation - diagnostic imaging
/ Atrial Fibrillation - physiopathology
/ Biomechanical Phenomena - physiology
/ Complications and side effects
/ Female
/ Heart Atria - diagnostic imaging
/ Heart Atria - physiopathology
/ Humans
/ Male
/ Medicine and Health Sciences
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