4.5 Article

Patient-Specific AAA Wall Stress Analysis: 99-Percentile Versus Peak Stress

Journal

Publisher

W B SAUNDERS CO LTD
DOI: 10.1016/j.ejvs.2008.09.007

Keywords

Abdominal aortic aneurysm; AAA wall stress analysis; Rupture risk analysis

Ask authors/readers for more resources

Objective: Biomechanically, rupture of an Abdominal Aortic Aneurysm (AAA) occurs when the stress acting on the watt due to the blood pressure, exceeds the strength of the wall. Peak wall stress estimations, based on CT reconstruction, may be prone to observer variation. This study focuses on the robustness and reproducibility of AAA watt stress assessment and the relation with geometrical features of the AAA. Methods: The AAAs of twenty patients were reconstructed by three operators. Both the peak and 99-percentile stress were used for intra- and inter-operator variability using the intraclass correlation coefficient (ICC). A regression analysis was performed to relate the stress parameters with the maximum diameter. Outliers were analyzed by their geometrical characteristics. Results: The intra-operator ICC was 0.73-0.79 for the peak stress and 0.94 for the 99-percentile stress. The inter-operator ICC was 0.71 for the peak stress and 0.95 for the 99-percentile stress. A significant linear relation with the diameter was found only for the 99-percentile stress. Conclusions: The 99-percentile stress is more reproducible than peak watt stress. A significant relation between watt stress and diameter was found. Other geometrical features had no statistical relation with high stress. (C) 2008 European Society for Vascular Surgery. Published by Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biophysics

A novel technique for the assessment of mechanical properties of vascular tissue

Stefan N. Sanders, Richard G. P. Lopata, Lambert C. A. van Breemen, Frans N. van de Vosse, Marcel C. M. Rutten

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY (2020)

Article Engineering, Biomedical

Ultrasound-based estimation of remaining cardiac function in LVAD-supported ex vivo hearts

Louis S. Fixsen, Niels J. Petterson, Patrick Houthuizen, Marcel C. M. Rutten, Frans N. van de Vosse, Richard G. P. Lopata

ARTIFICIAL ORGANS (2020)

Article Cardiac & Cardiovascular Systems

A demonstration of high field-of-view stability in hands-free echocardiography

Marloes Sjoerdsma, Louis S. Fixsen, Thijs Schoots, Frans N. van de Vosse, Richard G. P. Lopata

CARDIOVASCULAR ULTRASOUND (2020)

Article Engineering, Biomedical

The Role of One-Dimensional Model-Generated Inter-Subject Variations in Systemic Properties on Wall Shear Stress Indices of Intracranial Aneurysms

Raoul R. F. Stevens, Wouter P. Donders, Sjeng Quicken, Frans N. van de Vosse, Werner H. Mess, Tammo Delhaas, Wouter Huberts

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)

Article Engineering, Biomedical

Multiscale modeling of a modified Blalock-Taussig surgery in a patient-specific tetralogy of Fallot

Hamed Keramati, Lex van Houts, Ching Kit Chen, Frans van de Vosse, Masakazu Nakao, Sangho Kim, Hwa Liang Leo

Summary: By studying the effects of different parameters on flow rates and pressures, we found that the maximum pressure in the pulmonary bed was most sensitive to the diameter of the MBT shunt. By calculating flow velocity and pressure fields, and optimizing the LP model, we were able to simulate numerous 0D simulations more accurately and in a significantly shorter time, potentially benefiting medical decision-making.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING (2021)

Article Acoustics

ENHANCING LATERAL CONTRAST USING MULTI-PERSPECTIVE ULTRASOUND IMAGING OF ABDOMINAL AORTAS

Niels J. Petterson, Marc. R. H. M. van Sambeek, Frans N. van de Vosse, Richard G. P. Lopata

Summary: Vascular ultrasound imaging faces challenges of low lateral resolution and contrast, but can be improved through steering of ultrasound beams, as demonstrated in this study. Utilizing automatic feature detection for image registration, compounded multi-perspective ultrasound images showed enhanced contrast-to-noise ratios throughout the heart cycle in volunteers.

ULTRASOUND IN MEDICINE AND BIOLOGY (2021)

Article Chemistry, Multidisciplinary

The Feasibility of Dynamic Musculoskeletal Function Analysis of the Vastus Lateralis in Endurance Runners Using Continuous, Hands-Free Ultrasound

Marloes Sjoerdsma, Cristina Caresio, Benjamin Tchang, Amber Meeder, Frans van de Vosse, Richard Lopata

Summary: This study demonstrated the feasibility of long-term dynamic musculoskeletal functional analysis using hands-free ultrasound, obtaining successful long-term muscle imaging results in ten healthy endurance runners. The research found that probe-skin contact loss was the main limiting factor, but dynamic, hands-free ultrasound may enable research for a more profound insight in the prevention and rehabilitation of musculoskeletal injuries.

APPLIED SCIENCES-BASEL (2021)

Article Acoustics

A Spatial Near-Field Clutter Reduction Filter Preserving Tissue Speckle in Echocardiography

Marloes Sjoerdsma, Sjoerd Bouwmeester, Patrick Houthuizen, Frans N. van de Vosse, Richard G. P. Lopata

Summary: The study introduced a new near-field clutter reduction method in echocardiography, which effectively reduced clutter while preserving myocardial features, resulting in improved image quality and myocardial boundary distinction. The new filter also maintained speckles required for strain imaging, leading to enhanced global longitudinal strain measurements.

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2021)

Article Engineering, Biomedical

Model-based aortic power transfer: A potential measure for quantifying aortic stenosis severity based on measured data

R. Meiburg, Jo M. Zelis, J. Marcel van 't Veer, Sjors J. A. van Velthoven, Frans N. van de Vosse, Pim A. L. Tonino, Marcel C. M. Rutten

Summary: Current grading of aortic stenosis severity focuses on local valve properties like pressure gradient or jet velocity, but alternative methods are needed due to suboptimal success rates of valve replacement therapy. This study suggests evaluating power transfer efficiency from the left ventricle to the aorta, which considers heart, valve, and circulatory system. The research demonstrates heterogeneous aortic valve efficiency among patients and highlights the importance of further investigation into power transfer efficiency in aortic stenosis.

MEDICAL ENGINEERING & PHYSICS (2021)

Article Engineering, Biomedical

Mechanical characterization of abdominal aortas using multi-perspective ultrasound imaging

Niels Petterson, Marloes Sjoerdsma, Marc van Sambeek, Frans van de Vosse, Richard Lopata

Summary: The study utilized multi-perspective ultrasound and finite element models to characterize the mechanical properties of abdominal aortas, demonstrating higher robustness and accuracy. By automatically registering and merging ultrasound images from multiple angles, the wall motion and shear moduli of the aorta were effectively measured.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2021)

Article Acoustics

A Generalized Approach for Automatic 3-D Geometry Assessment of Blood Vessels in Transverse Ultrasound Images Using Convolutional Neural Networks

Joerik de Ruijter, Judith J. M. Muijsers, Frans N. van de Vosse, Marc R. H. M. van Sambeek, Richard G. P. Lopata

Summary: This study aimed to develop a robust method for vessel segmentation using convolutional neural networks, achieving successful segmentation in both carotid and peripheral arteries. The Multires U-net architecture performed best when trained on the total dataset. Future studies will focus on including vascular pathologies.

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2021)

Article Biophysics

Continuum modeling of thrombus formation and growth under different shear rates

Mohammad Rezaeimoghaddam, Frans N. van de Vosse

Summary: Thrombosis is a major cause of ischemic stroke, myocardial infarction, and other diseases. By using mathematical models and computational simulations, researchers predict and study the formation and development of thrombi, providing a basis for designing better blood-contacting medical devices.

JOURNAL OF BIOMECHANICS (2022)

Article Biology

A strategy to personalize a 1D pulse wave propagation model for estimating subject-specific central aortic pressure waveform

Liling Hao, Qi Zhang, Jun Liu, Zhuo Wang, Lisheng Xu, Frans N. van de Vosse

Summary: The estimation of central aortic pressure (CAP) is crucial for predicting, preventing, diagnosing, and treating cardiovascular disease. However, it cannot be directly measured non-invasively. In this paper, a novel noninvasive CAP estimation method based on an individualized pulse wave propagation model is proposed, which showed better performance compared to existing methods.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Engineering, Biomedical

Generation of synthetic aortic valve stenosis geometries for in silico trials

Sabine Verstraeten, Martijn Hoeijmakers, Pim Tonino, Jan Bruening, Claudio Capelli, Frans van de Vosse, Wouter Huberts

Summary: In this study, a virtual cohort generator was developed that can generate anatomically plausible synthetic aortic valve stenosis geometries for in silico transcatheter aortic valve implantation trials. Specific anatomical features that influence the occurrence of complications can be selected with a high sensitivity.

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING (2023)

Review Multidisciplinary Sciences

From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy

Anouk G. W. de Lepper, Carlijn M. A. Buck, Marcel van't Veer, Wouter Huberts, Frans N. van de Vosse, Lukas R. C. Dekker

Summary: This paper highlights the importance of preventing life-threatening ventricular tachycardias (VTs) in survivors of myocardial infarction. It proposes the use of digital twins, combining clinical expertise, data-driven models, and mechanistic models, to improve VT prediction and support clinical decision-making. The paper also discusses open challenges and potential gains for digital twin solutions, emphasizing the potential of hybrid modeling.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2022)

No Data Available