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Bioengineering
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Computational Models in Cardiovascular Medicine
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Computational Models in Cardiovascular Medicine

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 2762

Special Issue Editor

Prof. Dr. Giuseppe Filiberto Serraino

E-Mail Website
Guest Editor
Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
Interests: coronary artery disease; valve disease; mechanical circulatory assistance; minimally invasive surgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of computational models over the last three decades has provided important support for surgical and clinical techniques in the cardiovascular field. The models can be used as predictive and statistical tools to understand the advantages and disadvantages that may arise from the use of assist devices or invasive and minimally invasive surgical procedures. Computational analysis has been used to model the human physiological heart in 3D, not only to mimic natural situations, but also to guide surgeons during high-risk open-heart procedures. Moreover, computational models are relevant from a manufacturing (industry) point of view, as they serve as support for images that are acquired in vivo in order to frame the best follow-up for many patients undergoing valvuloplasty surgery. The aim of our Special Issue would be dedicated to this topic, collecting the best evidence regarding the development of artificial networks, which help predict post-operative risks, thus helping clinicians and surgeons to evaluate clinical and periprocedural decisions, and assessing haemodynamic parameters in patients undergoing ventricular assist devices such as ECMO, extracorporeal circulation or LVAD.

Prof. Dr. Giuseppe Filiberto Serraino
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

16 pages, 6355 KiB  
Article
Aneurysm Rupture Prediction Based on Strain Energy-CFD Modelling
by Ahmed M. Al-Jumaily, Abd Halim Bin Embong, Mohammad AL-Rawi, Giri Mahadevan and Shukei Sugita
Bioengineering 2023, 10(10), 1231; https://doi.org/10.3390/bioengineering10101231 - 21 Oct 2023
Cited by 1 | Viewed by 1119
Abstract
This paper presents a Patient-Specific Aneurysm Model (PSAM) analyzed using Computational Fluid Dynamics (CFD). The PSAM combines the energy strain function and stress–strain relationship of the dilated vessel wall to predict the rupture of aneurysms. This predictive model is developed by analyzing ultrasound [...] Read more.
This paper presents a Patient-Specific Aneurysm Model (PSAM) analyzed using Computational Fluid Dynamics (CFD). The PSAM combines the energy strain function and stress–strain relationship of the dilated vessel wall to predict the rupture of aneurysms. This predictive model is developed by analyzing ultrasound images acquired with a 6–9 MHz Doppler transducer, which provides real-time data on the arterial deformations. The patient-specific cyclic loading on the PSAM is extrapolated from the strain energy function developed using historical stress–strain relationships. Multivariant factors are proposed to locate points of arterial weakening that precede rupture. Biaxial tensile tests are used to calculate the material properties of the artery wall, enabling the observation of the time-dependent material response in wall rupture formation. In this way, correlations between the wall deformation and tissue failure mode can predict the aneurysm’s propensity to rupture. This method can be embedded within the ultrasound measures used to diagnose potential AAA ruptures. Full article
(This article belongs to the Special Issue Computational Models in Cardiovascular Medicine)
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14 pages, 6811 KiB  
Article
CFD Study of the Effect of the Angle Pattern on Iliac Vein Compression Syndrome
by Hsuan-Wei Chen, Chao-Hsiang Chen, Yu-Jui Fan, Chun-Yu Lin, Wen-Hsien Hsu, I-Chang Su, Chun-Li Lin, Yuan-Ching Chiang and Haw-Ming Huang
Bioengineering 2023, 10(6), 688; https://doi.org/10.3390/bioengineering10060688 - 05 Jun 2023
Viewed by 1363
Abstract
Iliac vein compression syndrome (IVCS, or May–Thurner syndrome) occurs due to the compression of the left common iliac vein between the lumbar spine and right common iliac artery. Because most patients with compression are asymptomatic, the syndrome is difficult to diagnose based on [...] Read more.
Iliac vein compression syndrome (IVCS, or May–Thurner syndrome) occurs due to the compression of the left common iliac vein between the lumbar spine and right common iliac artery. Because most patients with compression are asymptomatic, the syndrome is difficult to diagnose based on the degree of anatomical compression. In this study, we investigated how the tilt angle of the left common iliac vein affects the flow patterns in the compressed blood vessel using three-dimensional computational fluid dynamic (CFD) simulations to determine the flow fields generated after compression sites. A patient-specific iliac venous CFD model was created to verify the boundary conditions and hemodynamic parameter set in this study. Thirty-one patient-specific CFD models with various iliac venous angles were developed using computed tomography (CT) angiograms. The angles between the right or left common iliac vein and inferior vena cava at the confluence level of the common iliac vein were defined as α1 and α2. Flow fields and vortex locations after compression were calculated and compared according to the tilt angle of the veins. Our results showed that α2 affected the incidence of flow field disturbance. At α2 angles greater than 60 degrees, the incidence rate of blood flow disturbance was 90%. In addition, when α2 and α1 + α2 angles were used as indicators, significant differences in tilt angle were found between veins with laminar, transitional, and turbulent flow (p < 0.05). Using this mathematical simulation, we concluded that the tilt angle of the left common iliac vein can be used as an auxiliary indicator to determine IVCS and its severity, and as a reference for clinical decision making. Full article
(This article belongs to the Special Issue Computational Models in Cardiovascular Medicine)
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