Results 171 to 180 of about 5,128,983 (251)

Comparison and Agreement of Echocardiographic Volumetric Methods for Quantifying Mitral Regurgitation in Dogs with Myxomatous Mitral Valve Disease. [PDF]

Animals (Basel)
Kawai S, Suzuki R, Mochizuki Y, Yuchi Y, Satomi S, Kitazawa A, Teshima T, Matsumoto H.   +7 more
europepmc   +1 more source

4D ultrasound reveals regional left atrial strain remodelling in a murine model of reversible pressure overload

The Journal of Physiology, EarlyView.
Abstract figure legend Traditional planar imaging approaches of the left atrium do not capture complex geometry. Four‐dimensional imaging allows the acquisition of 3D data + time to visualize left atrial geometry and kinematics. We designed an advanced analysis technique to investigate left atrial biomechanics in a model of pressure overload and ...
John P. Salvas, Thomas Moore‐Morris, Craig J. Goergen, Pierre Sicard   +3 more
wiley   +1 more source

Prognostic characteristics of preoperative serum total bilirubin concentration in myxomatous mitral valve disease in dogs undergoing mitral valve repair. [PDF]

J Vet Intern Med
Furusato S, Sato K, Nii Y, Tanoshima R, Uechi M.   +4 more
europepmc   +1 more source

What Is Your Diagnosis? Lymph Node Aspirates From a Dog

Veterinary Clinical Pathology, EarlyView.
Gillian Herbert, Kristina Meichner, Emily Rout, Troy Myers, Mackenzie Long   +4 more
wiley   +1 more source

Comparative multimodal calibration of patient‐specific atrial fibrillation models: Impact of imaging and electrophysiology data on arrhythmogenic substrate identification

The Journal of Physiology, EarlyView.
Abstract figure legend Comparative multimodal calibration of patient‐specific left atrial (LA) models to identify arrhythmogenic substrates in atrial fibrillation (AF). A, LA models shown in posterior and anterior views, calibrated separately using: late gadolinium enhancement magnetic resonance imaging (LGE‐MRI) image intensity ratio (IIR; blue–red ...
Mahmoud Ehnesh, Haseeb Valli, Ovais A. Jaffery, Sam Coveney, Alexander Zolotarev, Zhong Chen, Wajid Hussain, David G. Jones, Raad Mohiaddin, Tom Wong, Gregory Slabaugh, Steven A. Niederer, Edward Vigmond, Shouvik Haldar, Caroline Roney   +14 more
wiley   +1 more source

Rare stability in dogs with myxomatous mitral valve disease: Clinical observations of loop diuretic withdrawal after congestive heart failure. [PDF]

Open Vet J
Hsueh T, Chan IP, Yang CC, Lin SL.
europepmc   +1 more source

Network meta-analysis to compare the efficacies of three surgical techniques in rheumatic mitral valve disease. [PDF]

NPJ Cardiovasc Health
Liu C, Jia SH, Wang MZ, Zhang MX, Wang XL, Zhang HJ, Jiang WJ.   +6 more
europepmc   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

Pediatric Blood &Cancer, Volume 73, Issue 11, November 2026.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak, Oded Gilad, Yael Feinstein, Sigal Nakav, Ofer Schiller, Joanne Yacobovich   +5 more
wiley   +1 more source

Pre-anaesthetic risk assessment and management of dogs with myxomatous mitral valve disease: a spectrum of care narrative review. [PDF]

J Small Anim Pract
Levinzon I, Köster L, Vettorato E, Estrada AH.   +3 more
europepmc   +1 more source

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2505-2515, November 2026.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source