Zobrazeno 1 - 10
of 32
pro vyhledávání: '"D Verikas"'
Autor:
A Karuzas, K Sablauskas, K Wierzbowska-Drabik, R Dirsiene, M Fukson, A Kiziela, D Matuliauskas, J Balciunas, D Verikas, M Strioga, J Kasprzak, V Lesauskaite, Q Ciampi, E Picano
Publikováno v:
European Heart Journal. 43
Introduction Left atrial (LA) size is a dynamic variable that changes during stress echocardiography (SE) and provides valuable information within and beyond coronary artery disease. However, its measurement remains subjective, time-consuming and bas
Publikováno v:
European Heart Journal. 43
Introduction In these past few years tricuspid valve (TV) got its appreciation due to the latest focus of complications driven by tricuspid regurgitation (TR). Even though severe TR may require surgical repair, precise analyses performed by 3D echoca
Publikováno v:
European Heart Journal. 43
Introduction Evaluation of tricuspid annulus (TA) has many challenges due to its complex three-dimensional shape. The 3D-echocardiography is a gold standard method for accurate assessment of tricuspid valve (TV). Studies investigating TV geometry in
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 23
Funding Acknowledgements Type of funding sources: None. INTRODUCTION The right ventricular global longitudinal strain (RV GLS) increasingly has been used for the prognosis of mortality in the heart failure patients. However, the relationship of RV st
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 23
Funding Acknowledgements Type of funding sources: None. INTRODUCTION The prevalence of untreated moderate and severe functional tricuspid regurgitation (TR) eventually leads to heart failure and is associated with poor prognosis. Therefore, tricuspid
Autor:
Elona Juozaityte, Audrone Vaitiekiene, Domas Vaitiekus, Dovile Vaiciuliene, Renaldas Jurkevičius, D Verikas, Grete Ambrazeviciute, Gintare Muckiene, Dainora Maciuliene, Liveta Sereikaite
Publikováno v:
Cardiovascular Toxicology. 20:321-327
Advances in oncologic therapies have allowed to achieve better outcomes and longer survival in many patients with breast cancer. Anthracyclines are cytotoxic antibiotics widely used in daily oncology practice. However, anthracyclines cause cardiotoxi
Autor:
A Karuzas, Remigijus Zaliunas, Diana Zaliaduonyte-Peksiene, Egle Rumbinaite, Vytautas Zabiela, Egle Kazakauskaite, Tomas Ptasinskas, Gintare Muckiene, Renaldas Jurkevičius, Jolanta Vaskelyte, D Verikas
Publikováno v:
Anatolian Journal of Cardiology, Vol 22, Iss 1, Pp 13-20 (2019)
Anatolian Journal of Cardiology
Anatolian Journal of Cardiology
Objective: Left ventricle (LV) geometry and dyssynchrony are associated with LV remodeling after acute myocardial infarction (AMI). The aim of this prospective study was to assess the diagnostic value of new three-dimensional echocardiography (3DE) p
Autor:
Egle Rumbinaite, J Plisiene, E Teleisyte, Egle Ereminiene, R Zvirblyte, D Verikas, D Matuliauskas, A Kiziela, A Karuzas, Renaldas Jurkevičius, L Skrodenis, K Sablauskas, J.J. Vaskelyte, J Balciunas
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 22
Funding Acknowledgements Type of funding sources: None. INTRODUCTION Deep learning (DL) has been successfully applied in the automated assessment of some transthoracic echocardiography (TTE) parameters such as left-ventricular ejection fraction. Neve
Autor:
Jolanta Vaskelyte, D Matuliauskas, K Sablauskas, J Balciunas, E Teleisyte, J Plisiene, Egle Ereminiene, Tomas Lapinskas, Vaida Mizariene, Renaldas Jurkevičius, A Kiziela, L Skrodenis, Egle Rumbinaite, A Karuzas, D Verikas
Publikováno v:
European Heart Journal. 41
Introduction Deep convolutional neural networks (CNNs) have been shown to be reliable in evaluating geometrically assessed systolic heart function, however, studies evaluating diastolic heart function, which reflects hemodynamic status, are scarce. T
Autor:
J Mileris, Renaldas Jurkevičius, L Skrodenis, Egle Rumbinaite, J Balciunas, K Sablauskas, D Verikas, J Plisiene, Diana Zaliaduonyte-Peksiene, A Karuzas, D Matuliauskas, J.J. Vaskelyte, E Teleisyte
Publikováno v:
European Heart Journal - Cardiovascular Imaging. 21
INTRODUCTION Deep learning (DL) has been of increasing use in the field of echocardiographic cardiology. The importance of segmentation and recognition of different heart chambers was already presented in different studies. However, there are no stud