Е. А. Овчаренко

ORCID: 0000-0001-7477-3979
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About
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Research Areas
  • Cardiac Valve Diseases and Treatments
  • Infective Endocarditis Diagnosis and Management
  • Orthopaedic implants and arthroplasty
  • Particle Detector Development and Performance
  • Cardiac and Coronary Surgery Techniques
  • Aortic Disease and Treatment Approaches
  • Electrospun Nanofibers in Biomedical Applications
  • High-Energy Particle Collisions Research
  • Cardiac Structural Anomalies and Repair
  • Particle physics theoretical and experimental studies
  • Radiation Detection and Scintillator Technologies
  • Cardiac Imaging and Diagnostics
  • Coronary Interventions and Diagnostics
  • Cerebrovascular and Carotid Artery Diseases
  • Atomic and Molecular Physics
  • Cardiovascular Function and Risk Factors
  • Orthopedic Infections and Treatments
  • Bone Tissue Engineering Materials
  • Aortic aneurysm repair treatments
  • Cardiovascular Health and Disease Prevention
  • Healthcare Systems and Public Health
  • Tissue Engineering and Regenerative Medicine
  • Mass Spectrometry Techniques and Applications
  • biodegradable polymer synthesis and properties
  • Intracranial Aneurysms: Treatment and Complications

Kemerovo State University
2016-2025

Research Institute of Complex Problems of Cardiovascular Disease Russian Academy of Medical Sciences
2014-2024

Justus-Liebig-Universität Gießen
2016-2023

Institut de Recherche pour le Développement
2022

Kuzbass Institute of Economics and Law
2022

Czech Academy of Sciences, Institute of Experimental Medicine
2021

Russian Academy of Sciences
2016-2019

Kemerovo Cardiology Center
2016-2019

Joint Institute for Nuclear Research
2016-2019

Petersburg Nuclear Physics Institute
2019

Abstract Invasive coronary angiography remains the gold standard for diagnosing artery disease, which may be complicated by both, patient-specific anatomy and image quality. Deep learning techniques aimed at detecting stenoses facilitate diagnosis. However, previous studies have failed to achieve superior accuracy performance real-time labeling. Our study is confirming feasibility of stenosis detection using deep methods. To reach this goal we trained tested eight promising detectors based...

10.1038/s41598-021-87174-2 article EN cc-by Scientific Reports 2021-04-07

Abstract Polymeric heart valves seem to be an attractive alternative mechanical and biological prostheses as they are more durable, due the superior properties of novel polymers, have biocompatibility hemodynamics comparable tissue substitutes. This study reports a comprehensive assessment nanocomposite based on functionalised graphene oxide poly(carbonate-urea)urethane with trade name “Hastalex” in comparison GORE-TEX, commercial polymer routinely used for cardiovascular medical devices....

10.1038/s41598-020-62122-8 article EN cc-by Scientific Reports 2020-03-24

Atherosclerosis, calcific aortic valve disease (CAVD), and bioprosthetic heart degeneration (alternatively termed structural deterioration, SVD) represent three diseases affecting distinct components of the circulatory system their substitutes, yet sharing multiple risk factors commonly leading to extraskeletal calcification. Whereas histopathology mentioned disorders is well-described, ultrastructural pathology largely obscure due lack appropriate investigation techniques. Employing an...

10.3390/ijms21207434 article EN International Journal of Molecular Sciences 2020-10-09

Single photon laser enabled Auger decay (spLEAD) has been redicted theoretically [Phys. Rev. Lett. 111, 083004 (2013)] and here we report its first experimental observation in neon. Using coherent, bichromatic free-electron pulses, have detected the process coherently controlled angular distribution of emitted electrons by varying phase difference between two fields. Since spLEAD is highly sensitive to electron correlation, this a promising method for probing both correlation ultrafast hole...

10.1103/physrevlett.119.073203 article EN publisher-specific-oa Physical Review Letters 2017-08-14

Superior polymers represent a promising alternative to mechanical and biological materials commonly used for manufacturing artificial heart valves. The study is aimed at assessing poly(styrene-block-isobutylene-block-styrene) (SIBS) properties comparing them with polytetrafluoroethylene (Gore-texTM, reference sample). Surface topography of both was evaluated scanning electron microscopy atomic force microscopy. were measured under uniaxial tension. water contact angle estimated evaluate...

10.3390/app9224773 article EN cc-by Applied Sciences 2019-11-08

In this study, we incorporated carbon nanotubes (CNTs) into poly(styrene-block-isobutylene-block-styrene) (SIBS) to investigate the physical characteristics of resulting nanocomposite and its cytotoxicity endothelial cells. CNTs were dispersed in chloroform using sonication following addition a SIBS solution at different ratios. The resultant films analyzed by X-ray microtomography, optical scanning electron microscopy; tensile strength was examined uniaxial tension testing; hydrophobicity...

10.3390/polym12092158 article EN Polymers 2020-09-22

Nanocomposites based on poly(styrene-block-isobutylene-block-styrene) (SIBS) and single-walled carbon nanotubes (CNTs) were prepared characterized in terms of tensile strength as well bio- hemocompatibility. It was shown that modification CNTs using dodecylamine (DDA), featured by a long non-polar alkane chain, provided much better dispersion SIBS compared to unmodified CNTs. As result such modification, the nanocomposite with low molecular weight (Mn = 40,000 g mol-1) containing 4%...

10.3390/nano12050733 article EN cc-by Nanomaterials 2022-02-22

Photoelectron distributions of the polarized $2{p}^{5}3d$ Rydberg states neon have been studied with a newly built velocity map imaging analyzer. The atoms were by absorption synchrotron radiation and ionized an infrared laser. asymmetry parameters ${\ensuremath{\beta}}_{2}$ ${\ensuremath{\beta}}_{4}$ characterizing two-photon resonant ionization extracted from measured images compared results quantum defect treatment. To achieve good theoretical description data, it is necessary to take...

10.1103/physreva.82.052522 article EN Physical Review A 2010-11-29

The article presents new insights into the mechanisms underlying bioprosthetic heart valve dysfunctions based on medical literature analysis. We highlighted main pathogenetic causing of valves among well-known and recently studied ones. In addition to process natural “aging” tissue that develops during continuous cyclic mechanical loads is accompanied by formation calcification foci (passive active process), negative impact prosthesis- recipientrelated factors has been evaluated....

10.17802/2306-1278-2018-7-2-10-24 article EN cc-by Complex Issues of Cardiovascular Diseases 2018-06-30

The study analysed the mechanical properties by uniaxial test of porcine and bovine pericardial specimens, stabilised with glutaraldehyde or ethylene glycol diglycidyl ether. Also paper describes, ability these samples compressed to 18 Fr via finite element method. Analysis biomaterial demonstrated a low strength for all types pericardium lowest value EGDE-treated (2.75 N). stress-strain state during simulation leaflet crimping was observed in experimental patch minimum principal logarithmic...

10.1504/ijbet.2017.086551 article EN International Journal of Biomedical Engineering and Technology 2017-01-01

Majority of modern techniques for creating and optimizing the geometry medical devices are based on a combination computer-aided designs utility finite element method This approach, however, is limited by number geometries that can be investigated time required design optimization. To address this issue, we propose generative approach combines machine learning (ML) methods optimization algorithms. We evaluate eight different methods, including decision tree-based boosting algorithms, neural...

10.3389/fbioe.2023.1238130 article EN cc-by Frontiers in Bioengineering and Biotechnology 2023-09-15

Currently, transcatheter aortic valve implantation (TAVI) represents the most efficient treatment option for patients with stenosis, yet its clinical outcomes largely depend on accuracy of positioning that is frequently complicated when routine imaging modalities are applied. Therefore, existing limitations perioperative underscore need development novel visual assistance systems enabling accurate procedures. In this paper, we propose an original multi-task learning-based algorithm tracking...

10.3389/fcvm.2021.697737 article EN cc-by Frontiers in Cardiovascular Medicine 2021-07-19

The aim of the investigation is to assess possibility predicting outcome transcatheter aortic valve prosthesis implantation in real clinical practice on basis patient-specific modeling.Material and Methods.Modeling bioprosthesis was carried out based data a patient aged 72 years.Multispiral computed tomography (CT) performed before after operative intervention.Reconstruction aorta valvular apparatus geometry done obtained slices using computer-aided design (CAD).With help microcomputer...

10.17691/stm2016.8.1.11 article EN Sovremennye tehnologii v medicine 2016-03-01

Background Whereas the risk factors for structural valve degeneration (SVD) of glutaraldehyde-treated bioprosthetic heart valves (BHVs) are well studied, those responsible failure BHVs fixed with alternative next-generation chemicals remain largely unknown. This study aimed to investigate reasons behind development SVD in ethylene glycol diglycidyl ether-treated BHVs. Methods and Results Ten excised because SVD, 5 calcified aortic (AVs) replaced calcific AV disease were collected their...

10.1161/jaha.122.028215 article EN cc-by-nc-nd Journal of the American Heart Association 2022-12-24
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