The effect of vascular diseases on bioimpedance measurements: mathematical modeling

Shash, Yomna H.; Eldosoky, Mohamed A. A.; El-Wakad, Mohamed T.

doi:10.15419/bmrat.v5i6.453

Cited by 13 publications

(10 citation statements)

References 6 publications

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“…The potential application of bioimpedance analysis for the detection of aneurysms has been previously discussed and repeatedly been praised as a non-invasive, low-cost technology. [19,24,25] Additionally, changes in body composition have been recently shown to be associated with abdominal aortic aneurysm growth after endovascular treatment. [26] The CombynECG uses segmental bioimpedance including a routine ECG that can also reliably assess body composition [20,21] and grants insight to hemodynamic parameters such as the aortofemoral pulse wave velocity [27].…”

Section: Discussionmentioning

confidence: 99%

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Detection of Abdominal Aortic Aneurysms via Bioelectrical Impedance Analysis – a pilot study

Hofmann

Shoumariyeh

Domenig

et al. 2023

Preprint

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Objective: To assess the feasibility of abdominal aortic aneurysm (AAA) detection based on parameters obtained from segmental bioimpedance measurements. Design: Pilot study Methods: In this single center exploratory pilot study, measurements were conducted in three different cohorts: patients with AAA, end stage renal disease patients without AAA, and healthy controls. The device used in the study, CombynECG, is an open market accessible device for segmental bioelectrical impedance analysis. The data was preprocessed and used to establish 4 different machine learning models on a randomized training sample. Each model was then evaluated on a test sample. Results: The total sample included 22 patients with AAA, 16 chronic kidney disease patients, and 23 healthy controls. All four models showed strong predictive performance in the test partitions. Specificity ranged from 71.4 to 100 %, while sensitivity ranged from 66.7 to 100 %. The best performing model had 100% accuracy during classification on a test sample. Additionally, an exploratory analysis to approximate the maximum AAA diameter was conducted. An association analysis revealed potential variables that might hold predictive ability for aneurysm extent. Conclusion: AAA detection via bioelectrical impedance analysis is technically feasible and appears to be a promising technology for large scale clinical studies as well as routine clinical screening assessment.

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Section: Discussionmentioning

confidence: 99%

“…Mathematical models for the detection of aneurysms have been developed previously. [19] However, technical application highly depends on the availability of suitable devices.…”

Section: Introductionmentioning

confidence: 99%

Detection of Abdominal Aortic Aneurysms via Bioelectrical Impedance Analysis – a pilot study

Hofmann

Shoumariyeh

Domenig

et al. 2023

Preprint

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“…6,7,8,9,10 Shash et al investigated the effect of vascular diseases such as stenosis and aneurysm on the bioimpedance measurements by developing simple mathematical models. 11 The results showed a correlation between the aforementioned diseases with the measured bioimpedance in the β dispersion range frequency to differentiate between normal and diseased blood vessels. Hammoud et al presented an approach to determine the vascular tone type and its temporal and spatial changes in all segments of human limbs.…”

Section: Introductionmentioning

confidence: 86%

“…Bioimpedance methods such as impedance plethysmography (IPG) and impedance cardiography (ICG) are non‐invasive, convenient and low‐cost methods widely used for several different diagnosis purposes, including vascular and cardiovascular diseases 6,7,8,9,10 . Shash et al investigated the effect of vascular diseases such as stenosis and aneurysm on the bioimpedance measurements by developing simple mathematical models 11 . The results showed a correlation between the aforementioned diseases with the measured bioimpedance in the

β

dispersion range frequency to differentiate between normal and diseased blood vessels.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of false lumen thrombosis in type B aortic dissection by impedance cardiography – A multiphysics simulation study

Badeli

Jafarinia

Melito

et al. 2022

Numer Methods Biomed Eng

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Aortic dissection is caused by a tear on the aortic wall that allows blood to flow through the wall layers. Usually, this tear involves the intimal and partly the medial layer of the aortic wall. As a result, a new false lumen develops besides the original aorta, denoted then as the true lumen. The local hemodynamic conditions such as flow disturbances, recirculations and low wall shear stress may cause thrombus formation and growth in the false lumen. Since the false lumen status is a significant predictor for late-dissection-related deaths, it is of great importance in the medical management of patients with aortic dissection. The hemodynamic changes in the aorta also alter the electrical conductivity of blood. Since the blood is much more conductive than other tissues in the body, such changes can be identified with non-invasive methods such as impedance cardiography. Therefore, in this study, the capability of impedance cardiography in monitoring thrombosis in the false lumen is studied by multiphysics simulations to assist clinicians in the medical management of patients under treatment.To tackle this problem, a 3D computational fluid dynamics simulation has been set up to model thrombosis in the false lumen and its impact on the blood flow-induced conductivity changes. The electrical conductivity changes of blood have been assigned as material properties of the blood-filled aorta in a 3D finite element electric simulation model to investigate the impact of conductivity changes on the measured impedance from the body's surface.The results show remarkable changes in the electrical conductivity distribution in the measurement region due to thrombosis in the false lumen, which significantly impacts the morphology of the impedance cardiogram. Thus, frequent † Vahid Badeli and Alireza Jafarinia contributed equally to this work

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“…The values of each structure were given in Table 1. [55][56][57][58][59][60] All the simulations were computed in the cross-sectional slice of the yz-plane as shown in Figure 3.…”

Section: Modeling the Stent Structure In The Blood Vesselmentioning

confidence: 99%

Computer‐Aided Analysis of the Corrosion Inhibition by Carbon‐Based Thin‐Film Coating on Vascular Bare Metal Stent Models

Akdoğan

Istanbullu

2022

Advcd Theory and Sims

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A simulation study of inhibiting the corrosion and corrosion-based restenosis is presented by diamond-like carbon (DLC) thin-film coating on bare-metallic intravascular stent models. The stents are designed and placed in a blood vessel model including a fatty-plaque layer in the study. 316L-stainless steel, CoCr-alloy, and nitinol are assigned to the stent models considering stent manufacturing. Modeled stents are coated with a carbon-based structure that mimics the DLC thin film. The electrochemical simulations are performed under the dynamic non-Newtonian blood flow condition for a 1 year period. Electrolytic current densities, corrosion, and restenosis rates of the bare and coated stents are simulated using time-dependent laminar flow and corrosion modules in multiphysics analysis software. Among the bare-stent models, the highest corrosion rate is observed for 316L with 79 µm year −1 and the minimum corrosion rate is observed for nitinol with 9 µm year −1 . Restenosis rates increase up to 36 µm year −1 due to the charged-particle adhesion on the bare stent surfaces. However, DLC-thin-film coating reduces corrosion and in-stent restenosis (ISR) rates down to 0.94 and 0.2 µm year −1 respectively. It can be concluded that surface passivation by thin-film DLC coating may be considered a promising candidate for novel stent designs having lower corrosion-based issues and ISR risks.

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The effect of vascular diseases on bioimpedance measurements: mathematical modeling

Cited by 13 publications

References 6 publications

Detection of Abdominal Aortic Aneurysms via Bioelectrical Impedance Analysis – a pilot study

Detection of Abdominal Aortic Aneurysms via Bioelectrical Impedance Analysis – a pilot study

Monitoring of false lumen thrombosis in type B aortic dissection by impedance cardiography – A multiphysics simulation study

Computer‐Aided Analysis of the Corrosion Inhibition by Carbon‐Based Thin‐Film Coating on Vascular Bare Metal Stent Models

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