Accelerated Phase Contrast MRI with Use of Resolution Enhancement Generative Adversarial Neural Network.

Background: Cardiovascular magnetic resonance (CMR) phase-contrast is used to quantify blood flow. We sought to develop a complex-difference reconstruction for inline super-resolution of phase-contrast (CRISPFlow) to accelerate phase-contrast imaging.

Methods: CRISPFlow was built on the super-resolution generative adversarial network.

Late Gadolinium Enhancement CMR with Generative AI.

Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging enables imaging of scar/fibrosis and is a cornerstone of most CMR imaging protocols. CMR imaging can benefit from image acceleration; however, image acceleration in LGE remains challenging due to its limited signal-to-noise ratio. In this study, we sought to evaluate a rapid 2D LGE imaging protocol using a generative artificial intelligence (AI) algorithm with inline reconstruction.

Measurement opportunities for studying sexual and gender diverse partnerships in population-based surveys.

Objective: This article outlines for family scholars and researchers designing surveys or searching for data on sexual and gender-diverse (SGD) families the latest methodological advancements in United States population-based surveys for studying SGD partnerships by reviewing five recently collected, publicly available, population-representative data sets.

Background: LGBTQIA+ adults and SGD partnerships are an expanding demographic group in the United States. Yet, measurement limitations have restricted studies of these partnerships that use population-based studies.

Sexual and gender identities and alcohol use during the COVID-19 pandemic.

This study examined differences in alcohol use by sexual and gender identities during the COVID-19 pandemic, and assessed whether variation between groups was explained by pandemic-related stressors and minority stress. Data from 2,429 partnered adults in the National Couples' Health and Time Use Study (n = 3,593) collected from September 2020 to April 2021 were used to model drinking patterns (frequency, amount, and drinking to cope) by sexual and gender identities, COVID-19 stress and disruption, microaggressions, and supportive climate. Regression models indicated differences in drinking by gender and sexual identities, even controlling for demographic and socioeconomic factors.

Increased Aortic Stiffness With Acute Exercise in Heart Failure: Assessment by Cardiovascular Magnetic Resonance.

This study aimed to investigate the acute changes in proximal aortic distensibility, a measure of aortic stiffness, induced by acute exercise in participants with and without heart failure (HF). Participants with HF (n = 24) and without HF (n = 26) underwent cardiovascular magnetic resonance (CMR) (1.5 T) imaging at rest and after submaximal supine bicycle ergometry.