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Ventricular Discordance as an MRI Phenotype Provides Prognostic Value Among Arrhythmogenic Cardiomyopathy.
J Magn Reson Imaging
December 2024
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Background: In arrhythmogenic cardiomyopathy (ACM), left ventricle-dominant presentation has poorer outcomes than right-dominant presentation, suggesting that interventricular functional disparity might play a role in patients' prognosis. However, the prognostic impact of ventricular functional discordance in ACM patients remains unknown.
Purpose: To assess whether ventricular functional disparity measured as ventricular discordance index, defined as the ratio of right-ventricular ejection fraction (RVEF) to left-ventricular ejection fraction (LVEF), might reveal prognostic disparities between phenotypes and offer added risk stratification value.
EchoSegDiff: a diffusion-based model for left ventricular segmentation in echocardiography.
Med Biol Eng Comput
December 2024
The Third Central Hospital of Tianjin, Tianjin, 300171, China.
Echocardiography is a primary tool for cardiac diagnosis. Accurate delineation of the left ventricle is a prerequisite for echocardiography-based clinical decision-making. In this work, we propose an echocardiographic left ventricular segmentation method based on the diffusion probability model, which is named EchoSegDiff.
View Article and Find Full Text PDFAutomated cell tracking using 3D nnUnet and Light Sheet Microscopy to quantify regional deformation in zebrafish.
bioRxiv
November 2024
Joint Department of Bioengineering at UT Arlington/UT Southwestern, TX, USA.
Light Sheet Microscopy (LSM) in conjunction with embryonic zebrafish, is rapidly advancing three-dimensional, characterization of myocardial contractility. Preclinical cardiac deformation imaging is predominantly restricted to a low-order dimensionality image space (2D) or suffers from poor reproducibility. In this regard, LSM has enabled high throughput, non-invasive 4D (3d+time) characterization of dynamic organogenesis within the transparent zebrafish model.
View Article and Find Full Text PDFAnalysis and visualization of the effect of multiple sclerosis on biological brain age.
Front Neurol
October 2024
Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Introduction: The rate of neurodegeneration in multiple sclerosis (MS) is an important biomarker for disease progression but can be challenging to quantify. The brain age gap, which quantifies the difference between a patient's chronological and their estimated biological brain age, might be a valuable biomarker of neurodegeneration in patients with MS. Thus, the aim of this study was to investigate the value of an image-based prediction of the brain age gap using a deep learning model and compare brain age gap values between healthy individuals and patients with MS.
View Article and Find Full Text PDFPrognostic Value of Echocardiographic Coupling Metrics in Systemic Sclerosis-Associated Pulmonary Vascular Disease.
J Am Soc Echocardiogr
October 2024
Johns Hopkins University Division of Cardiology, Baltimore, Maryland. Electronic address:
Background: Ineffective right ventricular (RV) adaptation to increasing pulmonary arterial (PA) afterload in pulmonary vascular disease (PVD) significantly contributes to morbidity and mortality. Pulmonary vascular disease in systemic sclerosis (SSc) arises through various mechanisms, yet detecting abnormal contractile response remains challenging. Here we examine whether echocardiographic RV-PA coupling metrics correlate with invasive pressure-volume (PV) loops, enhancing the prediction of adverse clinical outcomes in SSc-PVD patients.
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