Polysomnography, the gold standard diagnostic tool in sleep medicine, is performed in an artificial environment. This might alter sleep and may not accurately reflect typical sleep patterns. While macro-structures are sensitive to environmental effects, micro-structures remain more stable.
View Article and Find Full Text PDFPurpose: To compare pulmonary function metrics obtained with hyperpolarized xenon-129 (HXe) MRS, using chemical shift saturation recovery (CSSR) and CSI-CSSR, in healthy rats and a rat model of radiation-induced lung injury.
Methods: HXe-MR data were acquired in two healthy rats and one rat with radiation-induced lung injury using whole-lung spectroscopy and CSI-CSSR techniques. The CSI-CSSR acquisitions were performed with both fixed TE and variable TE.
Lung size measurements play an important role in transplantation, as optimal donor-recipient size matching is necessary to ensure the best possible outcome. Although several strategies for size matching are currently used, all have limitations, and none has proven superior. In this pilot study, we leveraged deep learning and computer vision to develop an automated system for generating standardized lung size measurements using portable chest radiographs to improve accuracy, reduce variability, and streamline donor/recipient matching.
View Article and Find Full Text PDFArea cartograms are map-based data visualizations in which the area of each map region is proportional to the data value it represents. Long utilized in print media, area cartograms have also become increasingly popular online, often accompanying news articles and blog posts. Despite their popularity, there is a dearth of cartogram generation tools accessible to non-technical users unfamiliar with Geographic Information Systems software.
View Article and Find Full Text PDFPurpose: The purpose of this study was to examine the prevalence of urinary (UI), fecal (FI), and dual incontinence (DI) in older adults and their association with urinary tract infections, dermatitis, slips and falls, and behavioral disturbances based on Medicare fee-for-service (FFS) claims data.
Design: Retrospective analysis.
Subjects And Settings: Data from administrative claims from the CMS Medicare Limited Data Set (5% sample) for all months in 2018 were reviewed.