Optimization of measurements with an ultrasound attenuation coefficient algorithm for quantifying liver fat.

Objectives: Methods for measuring the ultrasound attenuation coefficient (AC) vary across different systems. Some have fixed regions of interest (ROI) while others have movable ROIs. Aims were to evaluate whether, using a system with a fixed ROI, correlation between AC and MRI proton density fat fraction (MRI-PDFF), and performance could be improved by (i) reducing fixed ROI length to 30 mm, changing starting point from the transducer, and (ii) using a movable ROI at different depths.

Race Is Associated With Delayed Diagnosis of Sagittal Craniosynostosis: A Single-Institutional Retrospective Study.

ObjectiveIdentify factors associated with delayed diagnosis of sagittal craniosynostosis.DesignRetrospective cohort study.SettingSingle institution tertiary care center over 10 years.

Self-management for people with epilepsy and a history of negative health events (SMART): A randomized controlled effectiveness trial.

Objectives: This 2-site, 6-month randomized controlled trial of an epilepsy self-management (ESM) curriculum (SMART) vs. 6-month waitlist (WL) control assessed effects on epilepsy outcomes in 160 people with epilepsy (PWE).

Methods: PWE had at least 1 negative health event (NHE) defined as a seizure, emergency department visit, hospitalization or self-harm attempt in the last 6 months.

Attenuation Coefficient for Hepatic Steatosis Using a Single Ultrasound System: Associations of Measurement Parameters With Interoperator Agreement and Diagnostic Performance.

. Clinical adoption of ultrasound attenuation coefficient (AC) measurements has been hindered by lack of a uniform measurement protocol and a range of factors that may cause variability. .

Application of Indocyanine Green Angiography for Perfusion Assessment of Buccal Myomucosal Flaps.

The indications for buccal myomucosal flaps (BMMFs) include velopharyngeal insufficiency (VPI) and palatal fistula. A major complication related to BMMF is partial flap necrosis due to its random blood supply. Indocyanine green (ICG) angiography is a proven technology to assess tissue perfusion, but there is limited report of its application to intraoral flaps, especially in cleft surgery.

Multi-societal expert consensus statement on the safe administration of ultrasound contrast agents.

Contrast enhanced ultrasound (CEUS) offers a safe, reliable imaging option to establish a clinical diagnosis across a variety of multidisciplinary settings. This Expert Consensus Statement serves to outline expert opinion on what constitutes appropriate supervision and the essential components of safe CEUS practice. The purpose of this document is to empower institutions to allow sonographers, along with other trained medical professionals, to administer UCAs at the point of care, consistent with the updated scope of practice documentation and within the broad parameters of an individual's training and licensure, while subject to appropriate supervision and meeting or exceeding minimum safety standards.

Droperidol Plus Diphenhydramine for Symptom Improvement in Suspected Cannabinoid Hyperemesis Syndrome: A Prospective Cohort Study.

Background: Cannabinoid Hyperemesis Syndrome (CHS) is characterized by recurrent, paroxysmal episodes of nausea, vomiting, and abdominal discomfort in chronic cannabis users. Optimized CHS treatment data remain limited. Recent prospective evidence have demonstrated haloperidol superiority over ondansetron.

Multiparametric Ultrasound for Chronic Liver Disease.

Diffuse liver disease is a substantial world-wide problem. With the combination of conventional ultrasound of the abdomen, fat quantification and elastography, appropriate staging of the patient can be assessed. This information allows for the diagnosis of steatosis and detection of fibrosis as well as prognosis, surveillance, and prioritization for treatment.

Assessing Quality of Ultrasound Attenuation Coefficient Results for Liver Fat Quantification.

Background/objectives: Algorithms for quantifying liver fat content based on the ultrasound attenuation coefficient (AC) are currently available; however, little is known about whether their accuracy increases by applying quality criteria such as the interquartile range-to-median ratio (IQR/M) or whether the median or average AC value should be used.

Methods: AC measurements were performed with the Aplio i800 ultrasound system using the attenuation imaging (ATI) algorithm (Canon Medical Systems, Otawara, Tochigi, Japan). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) was the reference standard.

Ultrasound evaluation of chronic liver disease.

Chronic liver disease is a world-wide epidemic. Any etiology that causes inflammation in the liver will lead to chronic liver disease. Presently, the most common inciting factor worldwide is steatotic liver disease.

A Clinical Review on Spinal Epidural Abscess: Epidemiology, Pathophysiology, Diagnosis, and Management for Emergency Medicine and Hospitalist Physicians.

Description Spinal epidural abscess (SEA), a critical surgical emergency, demands prompt recognition and intervention to prevent severe complications and fatalities. The incidence of SEA is notably increasing, particularly among individuals with diabetes, intravenous drug use, or a history of invasive spinal procedures. Although SEA can manifest through various clinical symptoms, the presence of its classic triad-back pain, fever, and neurological deficits-is noteworthy despite its occurrence in only 10% to 13% of cases.

US Markers and Necroinflammation, Steatosis, and Fibrosis in Metabolic Dysfunction-associated Steatotic Liver Disease: The iLEAD Study.

Background Attenuation coefficient (AC) and shear-wave speed (SWS) are established US markers for assessing patients with metabolic dysfunction-associated steatotic liver disease (MASLD), while shear-wave dispersion slope (DS) is not. Purpose To assess the relationship between the multiparametric US imaging markers DS, AC, and SWS and liver histopathologic necroinflammation in patients with MASLD. Materials and Methods This international multicenter prospective study enrolled consecutive patients with biopsy-proven MASLD between June 2019 and March 2023.

Multicenter Retrospective Review of Ketamine Use in Pediatric Intensive Care Units (Ketamine-PICU Study).

Objective: Describe continuous infusion (CI) ketamine practices in pediatric intensive care units (PICUs) and evaluate its effect on pain/sedation scores, exposure to analgesics/sedatives, and adverse effects (AEs).

Methods: Multicenter, retrospective, observational study in children <18 years who received CI ketamine between 2014 and 2017. Time spent in goal pain/sedation score range and daily cumulative doses of analgesics/sedatives were compared from the 24 hours (H) prior to CI ketamine to the first 24H and 25-48H of the CI.

WFUMB Guidelines/Guidance on Liver Multiparametric Ultrasound. Part 2: Guidance on Liver Fat Quantification.

The World Federation for Ultrasound in Medicine and Biology (WFUMB) has promoted the development of this document on multiparametric ultrasound. Part 2 is a guidance on the use of the available tools for the quantification of liver fat content with ultrasound. These are attenuation coefficient, backscatter coefficient, and speed of sound.

Does Meal or Water Intake Affect Ultrasound Attenuation Coefficient Estimate?

Objectives: To assess whether meal or water intake may affect the measurement of the ultrasound (US) attenuation coefficient (AC) imaging, a parameter that is directly related to liver fat content.

Methods: The study was performed in two centers (Italy and USA). AC was obtained using the ATI algorithm implemented in the Aplio i-series US systems (Canon Medical Systems, Japan) by one operator at each center.

Deep learning-based multimodal fusion network for segmentation and classification of breast cancers using B-mode and elastography ultrasound images.

Ultrasonography is one of the key medical imaging modalities for evaluating breast lesions. For differentiating benign from malignant lesions, computer-aided diagnosis (CAD) systems have greatly assisted radiologists by automatically segmenting and identifying features of lesions. Here, we present deep learning (DL)-based methods to segment the lesions and then classify benign from malignant, utilizing both B-mode and strain elastography (SE-mode) images.