Article
Cardiac & Cardiovascular Systems
Muthiah Subramanian, Vijay Shekar, Preetam Krishnamurthy, Sachin Yalagudri, Daljeet Kaur Saggu, Auras R. Atreya, Sridevi Chennapragada, Calambur Narasimhan
Summary: This study demonstrates that pacing from the RV apex with an optimized AV delay can improve diastolic function and functional capacity in patients with nHCM.
Article
Cardiac & Cardiovascular Systems
Junyi Zhang, Mingzhu Xu, Tan Chen, Yafeng Zhou
Summary: The study revealed that increased liver stiffness is common in HFpEF patients and is associated with worsening heart function. Compared to patients with pulmonary hypertension, those with HFpEF combined with higher liver elasticity. Male sex, atrial fibrillation, poorer NYHA class, and elevated liver elasticity are closely associated with HFpEF combined with RVD.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2021)
Article
Pediatrics
Collin T. Erickson, Brett Meyers, Ling Li, Mary Craft, Vivek Jani, John Bliamptis, Karl Stessy Bisselou Moukagna, David A. Danford, Pavlos Vlachos, Shelby Kutty
Summary: The study implemented sophisticated color M-mode analysis in infants, showing feasible comprehensive analysis of transmitral color M-mode data and significant progression in left ventricular diastolic function maturation during infancy. The findings of this study provide a foundation for future research to explore alterations in early diastolic filling in congenital heart disease.
PEDIATRIC RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Kun Li, Yixin Li, Liang Li, Stephane Lanteri
Summary: This work introduces a non-intrusive model order reduction (NIMOR) method for surrogate modeling of time-domain electromagnetic wave propagation. The method uses proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) for dimensionality reduction and prediction of reduced-order coefficient vectors. The use of multi-step procedure consisting of POD, DMD, and radial basis function (RBF) techniques allows for accurate and quick recovery of field solutions from a few large-scale simulations. Numerical experiments demonstrate the performance of the NIMOR method in scattering problems.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jian He, Wenjing Yang, Weichun Wu, Shuang Li, Gang Yin, Baiyan Zhuang, Jing Xu, Xiaoxin Sun, Di Zhou, Binqi Wei, Arlene Sirajuddin, Zhongzhao Teng, Shihua Zhao, Faraz Kureshi, Minjie Lu
Summary: Left ventricular global early diastolic longitudinal strain rate (eGLSR) obtained through cardiovascular MRI feature tracking is independently associated with adverse outcomes in patients with heart failure with preserved ejection fraction (HFpEF), aiding in the assessment of prognosis in heart failure patients.
Article
Biology
Clement Karsenty, Celine Guilbeau-Frugier, Gael Genet, Marie-Helene Seguelas, Philippe Alzieu, Olivier Cazorla, Alexandra Montagner, Yuna Blum, Caroline Dubroca, Julile Maupoint, Blandine Tramunt, Marie Cauquil, Thierry Sulpice, Sylvain Richard, Silvia Arcucci, Remy Flores-Flores, Nicolas Pataluch, Romain Montoriol, Pierre Sicard, Antoine Deney, Thierry Couffinhal, Jean-Michel Senard, Celine Gales
Summary: The study found that the development of cardiac crests in cardiomyocytes occurs between postnatal day 20 and day 60, and plays a role in relaxation function of the heart. They identified ephrin-B1 as a molecular determinant of crest maturation and diastolic function. This research highlights the importance of crest maturity in the heart and its implications for cardiac function.
Article
Cardiac & Cardiovascular Systems
Li Zhao, Rani Zierath, Brian Claggett, Pranav Dorbala, Kunihiro Matsushita, Dalane Kitzman, Aaron R. Folsom, Suma Konety, Thomas Mosley, Hicham Skali, Amil M. Shah
Summary: Longitudinal changes of diastolic function in the very old, particularly those with cardiovascular risk factors, are associated with the development of dyspnea. Further research is needed to determine whether prevention or control of risk factors can mitigate these changes.
JACC-CARDIOVASCULAR IMAGING
(2023)
Article
Computer Science, Interdisciplinary Applications
Guangdong Liu, Richard Marchand
Summary: This paper presents an efficient technique using multivariate radial basis function regression to infer space plasma density and satellite potentials. The method outperforms traditional analytic approaches and proves to be particularly efficient when working with large training sets. The approach follows machine learning techniques and is evaluated using synthetic data sets.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Cardiac & Cardiovascular Systems
Ethan D. Kwan, Daniela Velez-Rendon, Xiaoyan Zhang, Hao Mu, Megh Patel, Erica Pursell, Jennifer Stowe, Daniela Valdez-Jasso
Summary: This study found that in a model of pulmonary arterial hypertension, compensated systolic function was mainly explained by right ventricular hypertrophy, while subsequent changes in end-diastolic mechanics were primarily explained by passive myocardial stiffening.
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang
Summary: With the rise of big data, the problem of data quality becomes more critical, especially the issue of missing values. Current research focuses on using neural network models like self-organizing mappings or automatic encoders for imputation. However, these methods struggle to discover interrelated and common features simultaneously. To address this, we propose a feature-fusion-enhanced autoencoder model for missing value filling, incorporating a hidden layer with de-tracking and radial basis function neurons to enhance feature learning. We also introduce a dynamic clustering-based missing value filling strategy for improved performance. Extensive experiments on thirteen datasets validate the effectiveness of our model.
APPLIED INTELLIGENCE
(2023)
Article
Biophysics
Forrest N. Gamble, M. Rifqi Aufan, Oleg F. Sharifov, Lamario J. Williams, Shane Reighard, David A. Calhoun, Himanshu Gupta, Louis J. Dell'Italia, S. Denney Thomas, Steven G. Lloyd
Summary: A method using cardiovascular magnetic resonance imaging was developed to model the untwisting of the left ventricle as a damped torsional harmonic oscillator, allowing the estimation of shear modulus and frictional damping. The study found that overall torsional stiffness was increased in patients with resistant hypertension compared to controls, with an increase in diastolic frictional damping observed in RHTN. Additionally, the study suggested that hypertrophy, rather than tissue-level changes, may be the major factor leading to the increased stiffness in RHTN.
PHYSIOLOGICAL MEASUREMENT
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hang Chen, Johanna Jungesblut, Dennis Saering, Kai Muellerleile, Antonia Beitzen-Heineke, Phillip Harms, Jennifer Erley, Bjoern Schoennagel, Jan N. Schneider, Ersin Cavus, Roland Fischer, Gunnar K. Lund, Gerhard Adam, Enver Tahir
Summary: The study aimed to investigate the influence of myocardial fibrosis on left ventricular diastolic filling patterns in triathletes compared to sedentary controls using cardiac magnetic resonance (CMR) imaging. The results showed that LGE-negative triathletes demonstrated similar early peak filling rate (EPFR) but lower atrial peak filling rate (APFR) compared to controls, leading to a higher peak filling rate ratio (PFRR). LGE-positive triathletes showed similar EPFR but higher APFR and decreased PFRR compared to LGE-negative triathletes, along with increased LV mass index and extracellular volume fraction. In conclusion, athletic activity may result in supernormal LV diastolic filling patterns in LGE-negative triathletes, possibly due to increased LV myocardial flexibility and elasticity, while LGE-positive triathletes exhibited a pseudo-normalization characterized by compensatory increase of atrial contraction, potentially associated with reduced passive elasticity due to myocardial fibrosis.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Engineering, Multidisciplinary
Anthony M. Khoury, Eduardo Divo, Vladimir V. Golubev, Alain J. Kassab
Summary: An efficient localized collocation meshless computational approach is used for studying transdermal drug delivery, validated through a one-dimensional analytical solution. This approach demonstrates viability, robustness, and accuracy in solving TDD problems, showing stable and physically consistent results in multi-dimensional cases.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Environmental Sciences
Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang
Summary: In this paper, a climate incorporated gap-filling (CGF) method is proposed for the reconstruction of Landsat historical NDVI time series data, which was successfully tested in a heterogeneous region in the Qilian Mountains. The results demonstrate that the proposed method can accurately and continuously reconstruct 30 m 8-day NDVI time series using Landsat observations.
Article
Engineering, Biomedical
Birkan Tunc, David A. Hormuth, George Biros, Thomas E. Yankeelov
Summary: This study evaluated the performance of three mathematical models of tumor growth using MRI data from a murine model of glioma. The RDM model most accurately predicts tumor growth, while the RDAM model demonstrates the least variation in estimates of diffusion coefficient and proliferation rate. The mathematical models successfully capture tumor development and mass effect observed in experiments.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
