Journal Am Soc Echocardiography
- E-TAP: A Novel Echocardiographic Risk Stratification Score in the Assessment of Cardiac Tamponade and Decision Making for Pericardiocentesisby Jennifer S. Xu, Brian Becerra, Armen Ghazarian, Jonathan K. Schilling, George Nasr, Emin Zargarian, Wenjun Fan, Kristina Menchaca, Haley Kempf, Nathan D. Wong, Jin Kyung Kim on July 17, 2026 at 12:00 am
Echocardiographic findings suggesting hemodynamic compromise can precede clinical deterioration in cardiac tamponade. We aim to validate echocardiographic predictors for tamponade and construct a simple imaging-based risk stratification model to guide prompt management plans.
- Sex-Specific Left Atrial Strain Thresholds Predict Outcomes in Aortic Stenosisby Paolo Springhetti, Giovanni Benfari, Michele Tomaselli, Leonardo Portolan, Noela Radu, Marco Penso, Martina Magistri, Andreea Calin, Andra Negru, Claudia Nitu, Roberto Scarsini, Bogdan A. Popescu, Flavio Ribichini, Yuka Kawada, Denisa Muraru, Marie-Annick Clavel, Luigi P. Badano on July 17, 2026 at 12:00 am
Left atrial (LA) remodeling represents an integral marker of cardiac damage in aortic stenosis (AS). While the LA volume index (LAVi) reflects chronic pressure overload, left atrial reservoir strain (LARS) by speckle-tracking echocardiography detects early LA dysfunction.
- Fetal Anatomic and Physiologic Predictors of Neonatal Hypoxia in D-Transposition of the Great Arteries: A Prospective, Multi-Center Study by the Fetal Heart Society Research Collaborativeby Joyce T. Johnson, David Schidlow, Jacqueline Shuplock, Mary T. Donofrio, Shaine A. Morris, Lisa K. Hornberger, Chella Palmer, Ron Reeder, Bhawna Arya, Bettina Cuneo, Grace Freire, Julie Glickstein, Lisa Howley, Catherine Ikemba, Ann Kavanaugh-McHugh, Christopher Lindblade, Angela McBrien, Erik Michelfelder, Thomas A. Miller, Anita J. Moon-Grady, Shabnam Peyvandi, Rajesh Punn, Jack Rychik, Jill J. Savla, Christopher Statile, Divya Suthar, Heather Sun, Betul Yilmaz Furtun, Angira Patel, Sheetal Patel, Fetal Heart Society Research Collaborative on July 17, 2026 at 12:00 am
Sensitive fetal prediction of acute neonatal compromise at birth following a prenatal diagnosis of dextro-transposition of the great arteries/intact ventricular septum (dTGA/IVS) remains challenging. Using a large multicenter prospectively collected cohort, we aimed to determine if fetal echocardiogram findings could sensitively and specifically predict neonatal hypoxia.
- From “How Much?” to “Why?”: Artificial Intelligence and the Mechanism of Mitral Valve Diseaseby Heidi S. Hartman, Timothy J. Poterucha on July 15, 2026 at 12:00 am
- Concomitant Moderate Aortic Stenosis with Moderate Mitral Regurgitation in Patients with Normal Ejection Fraction: Types, Natural History and Outcomesby Jwan A. Naser, Ruxandra Copciag, Christopher G. Scott, Hossam Ibrahim, Austin M. Kennedy, Alexander C. Egbe, Hector I. Michelena, Patricia A. Pellikka, Vuyisile T. Nkomo, William R. Miranda, Sorin V. Pislaru on July 14, 2026 at 12:00 am
Multiple valve lesions involving concomitant moderate aortic stenosis (AS) and moderate mitral regurgitation (MR) remain poorly understood despite its increasing prevalence with population aging. We aimed to evaluate characteristics, mechanisms, cardiac remodeling, and clinical outcomes of MR in patients with concomitant moderate AS and moderate MR compared to each moderate and severe AS without […]
- Automated Detection of Clinically Significant Mitral Regurgitation from Single-View B-mode Echocardiography Using Deep Learningby Roman A. Sandler, Joseph Z. Sokol, Shubhadarshini Pawar, Anna Gilgur, Aashi Jhawer, Shirin Sadri, Daniel B. Sokol, Markos Muche, Aleksandar Stojmenski, Michael Guptan, Joshua Penn, Raj Makkar, Aakriti Gupta on July 14, 2026 at 12:00 am
Mitral regurgitation (MR) is one of the most prevalent valvular heart diseases, and its diagnosis traditionally relies on Doppler echocardiography, which is subject to significant variability and technical challenges. We developed and externally validated MitralVision, a deep learning model for automated classification of clinically significant MR using single-view, B-mode echocardiographic loops.
- Beyond the Valve: Redefining Moderate Aortic Stenosis Managementby Elena Ferrer-Sistach, Victoria Delgado on July 9, 2026 at 12:00 am
- From Millimeters to Milliliters: Reframing the Echocardiographic Assessment of Pericardial Effusionby S. Waqas Haider, David M. Dudzinski on July 9, 2026 at 12:00 am
- Redefining Echocardiographic Image Quality Through Artificial Intelligenceby Martin Gruca, Wendy Tsang on July 6, 2026 at 12:00 am
- Natural shear wave velocities at rest are associated with impaired cardiopulmonary fitness in childhood cancer survivorsby Ahmed S. Youssef, Sabine Verschueren, Deveny Vanrusselt, Nel Van Ermengem, Anne Uyttebroeck, Laurine Wouters, Marta Orlowska, Annette Caenen, Jürgen Duchenne, Nadia Salerno, Miek Hornikx, Sophie Pleysier, Bjorn Cools, Jan D’hooge, Jens-Uwe Voigt on July 5, 2026 at 12:00 am
Childhood cancer survivors (CCS) may face hidden cardiotoxicity undetectable by conventional echocardiography, yet may be related to the impaired cardiopulmonary fitness (CPF) commonly observed in CCS. High frame rate (HFR) echocardiography captures natural myocardial shear waves (SW) after mitral valve closure (MVC), providing insights into myocardial stiffness (MS), one of the main determinants […]
- Discordant Superior Vena Cava and Hepatic Vein Doppler: A Physiologic and Imaging Frameworkby Khalil Fadel, Brigitte E. Kazzi, Zyad Echahidi, Dania Mohty on July 5, 2026 at 12:00 am
Spectral Doppler interrogation of the superior vena cava (SVC) and hepatic veins (HV) provides important insight into right-heart filling dynamics. Under normal conditions, venous flow patterns in both conduits are generally similar, reflecting their shared dependence on fluctuations in right atrial (RA) pressure. However, SVC and HV waveforms are not identical, as they are modulated by […]
- Boosting the IQ of Artificial Intelligence: Echocardiographic Big Data and Overcoming the Generalizability Gap The 27th Annual Feigenbaum Lectureby Jordan B. Strom on July 4, 2026 at 12:00 am